Dataset Viewer
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fka/awesome-chatgpt-prompts
|
fka
|
task_categories:question-answering, license:cc0-1.0, size_categories:n<1K, format:csv, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, ChatGPT
|
community
|
# Dataset: `fka/awesome-chatgpt-prompts`
## 📝 Metadata
- **Author/Owner:** fka
- **Downloads:** 33620
- **Likes:** 9309
- **Tags:** task_categories:question-answering, license:cc0-1.0, size_categories:n<1K, format:csv, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, ChatGPT
- **License:** Not specified
## 📖 Description
```text
🧠 Awesome ChatGPT Prompts [CSV dataset]
This is a Dataset Repository of Awesome ChatGPT Prompts
View All Prompts on GitHub
License
CC-0...
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `prompts.csv`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `act` | `str` |
| `prompt` | `str` |
|
HuggingFaceFW/fineweb
|
HuggingFaceFW
|
task_categories:text-generation, language:en, license:odc-by, size_categories:10B<n<100B, modality:tabular, modality:text, arxiv:2306.01116, arxiv:2109.07445, arxiv:2406.17557, doi:10.57967/hf/2493, region:us
|
community
|
# Dataset: `HuggingFaceFW/fineweb`
## 📝 Metadata
- **Author/Owner:** HuggingFaceFW
- **Downloads:** 277751
- **Likes:** 2407
- **Tags:** task_categories:text-generation, language:en, license:odc-by, size_categories:10B<n<100B, modality:tabular, modality:text, arxiv:2306.01116, arxiv:2109.07445, arxiv:2406.17557, doi:10.57967/hf/2493, region:us
- **License:** Not specified
## 📖 Description
```text
🍷 FineWeb
15 trillion tokens of the finest data the 🌐 web has to offer
What is it?
The 🍷 FineWeb dataset consists of more than 18.5T tokens (originally 15T tokens) of cleaned and deduplicated english web data from CommonCrawl. The data processing pipeline is optimized for LLM performance and ran on the 🏭 datatrove library, our large scale data processing library.
🍷 FineWeb was originally meant to be a fully open replication of 🦅 RefinedWeb, with a release… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/fineweb....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/CC-MAIN-2013-20/000_00000.parquet`
- `data/CC-MAIN-2013-20/000_00001.parquet`
- `data/CC-MAIN-2013-20/000_00002.parquet`
- `data/CC-MAIN-2013-20/000_00003.parquet`
- `data/CC-MAIN-2013-20/000_00004.parquet`
- `data/CC-MAIN-2013-20/000_00005.parquet`
- `data/CC-MAIN-2013-20/000_00006.parquet`
- `data/CC-MAIN-2013-20/000_00007.parquet`
- `data/CC-MAIN-2013-20/000_00008.parquet`
- `data/CC-MAIN-2013-20/000_00009.parquet`
- `data/CC-MAIN-2013-20/000_00010.parquet`
- `data/CC-MAIN-2013-20/000_00011.parquet`
- `data/CC-MAIN-2013-20/000_00012.parquet`
- ... and more.
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `token_count` | `int` |
### Config: `sample-10BT`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `token_count` | `int` |
### Config: `sample-100BT`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `token_count` | `int` |
|
Anthropic/hh-rlhf
|
Anthropic
|
license:mit, size_categories:100K<n<1M, format:json, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2204.05862, region:us, human-feedback
|
community
|
# Dataset: `Anthropic/hh-rlhf`
## 📝 Metadata
- **Author/Owner:** Anthropic
- **Downloads:** 34144
- **Likes:** 1464
- **Tags:** license:mit, size_categories:100K<n<1M, format:json, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2204.05862, region:us, human-feedback
- **License:** Not specified
## 📖 Description
```text
Dataset Card for HH-RLHF
Dataset Summary
This repository provides access to two different kinds of data:
Human preference data about helpfulness and harmlessness from Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback. These data are meant to train preference (or reward) models for subsequent RLHF training. These data are not meant for supervised training of dialogue agents. Training dialogue agents on these data is likely to lead… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/hh-rlhf....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `harmless-base/test.jsonl.gz`
- `harmless-base/train.jsonl.gz`
- `helpful-base/test.jsonl.gz`
- `helpful-base/train.jsonl.gz`
- `helpful-online/test.jsonl.gz`
- `helpful-online/train.jsonl.gz`
- `helpful-rejection-sampled/test.jsonl.gz`
- `helpful-rejection-sampled/train.jsonl.gz`
- `red-team-attempts/red_team_attempts.jsonl.gz`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `chosen` | `str` |
| `rejected` | `str` |
#### Split: `test`
| Column Name | Data Type |
|---|---|
| `chosen` | `str` |
| `rejected` | `str` |
|
Open-Orca/OpenOrca
|
Open-Orca
|
task_categories:text-classification, task_categories:token-classification, task_categories:table-question-answering, task_categories:question-answering, task_categories:zero-shot-classification, task_categories:summarization, task_categories:feature-extraction, task_categories:text-generation, language:en, license:mit, size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2306.02707, arxiv:2301.13688, arxiv:2302.13971, region:us
|
community
|
# Dataset: `Open-Orca/OpenOrca`
## 📝 Metadata
- **Author/Owner:** Open-Orca
- **Downloads:** 8142
- **Likes:** 1457
- **Tags:** task_categories:text-classification, task_categories:token-classification, task_categories:table-question-answering, task_categories:question-answering, task_categories:zero-shot-classification, task_categories:summarization, task_categories:feature-extraction, task_categories:text-generation, language:en, license:mit, size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2306.02707, arxiv:2301.13688, arxiv:2302.13971, region:us
- **License:** Not specified
## 📖 Description
```text
🐋 The OpenOrca Dataset! 🐋
We are thrilled to announce the release of the OpenOrca dataset!
This rich collection of augmented FLAN data aligns, as best as possible, with the distributions outlined in the Orca paper.
It has been instrumental in generating high-performing model checkpoints and serves as a valuable resource for all NLP researchers and developers!
Official Models
Mistral-7B-OpenOrca
Our latest model, the first 7B to score better overall than all… See the full description on the dataset page: https://huggingface.co/datasets/Open-Orca/OpenOrca....
```
## 📂 File System Sample
- `.gitattributes`
- `1M-GPT4-Augmented.parquet`
- `3_5M-GPT3_5-Augmented.parquet`
- `OpenOrcaLogo.png`
- `README.md`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `id` | `str` |
| `system_prompt` | `str` |
| `question` | `str` |
| `response` | `str` |
|
OpenAssistant/oasst1
|
OpenAssistant
|
language:en, language:es, language:ru, language:de, language:pl, language:th, language:vi, language:sv, language:bn, language:da, language:he, language:it, language:fa, language:sk, language:id, language:nb, language:el, language:nl, language:hu, language:eu, language:zh, language:eo, language:ja, language:ca, language:cs, language:bg, language:fi, language:pt, language:tr, language:ro, language:ar, language:uk, language:gl, language:fr, language:ko, license:apache-2.0, size_categories:10K<n<100K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2304.07327, region:us, human-feedback
|
community
|
# Dataset: `OpenAssistant/oasst1`
## 📝 Metadata
- **Author/Owner:** OpenAssistant
- **Downloads:** 8006
- **Likes:** 1440
- **Tags:** language:en, language:es, language:ru, language:de, language:pl, language:th, language:vi, language:sv, language:bn, language:da, language:he, language:it, language:fa, language:sk, language:id, language:nb, language:el, language:nl, language:hu, language:eu, language:zh, language:eo, language:ja, language:ca, language:cs, language:bg, language:fi, language:pt, language:tr, language:ro, language:ar, language:uk, language:gl, language:fr, language:ko, license:apache-2.0, size_categories:10K<n<100K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2304.07327, region:us, human-feedback
- **License:** Not specified
## 📖 Description
```text
OpenAssistant Conversations Dataset (OASST1)
Dataset Summary
In an effort to democratize research on large-scale alignment, we release OpenAssistant
Conversations (OASST1), a human-generated, human-annotated assistant-style conversation
corpus consisting of 161,443 messages in 35 different languages, annotated with 461,292
quality ratings, resulting in over 10,000 fully annotated conversation trees. The corpus
is a product of a worldwide crowd-sourcing effort… See the full description on the dataset page: https://huggingface.co/datasets/OpenAssistant/oasst1....
```
## 📂 File System Sample
- `.gitattributes`
- `2023-04-12_oasst_all.messages.jsonl.gz`
- `2023-04-12_oasst_all.trees.jsonl.gz`
- `2023-04-12_oasst_prompts.messages.jsonl.gz`
- `2023-04-12_oasst_ready.messages.jsonl.gz`
- `2023-04-12_oasst_ready.trees.jsonl.gz`
- `2023-04-12_oasst_spam.messages.jsonl.gz`
- `LICENSE`
- `README.md`
- `data/train-00000-of-00001-b42a775f407cee45.parquet`
- `data/validation-00000-of-00001-134b8fd0c89408b6.parquet`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `message_id` | `str` |
| `parent_id` | `NoneType` |
| `user_id` | `str` |
| `created_date` | `str` |
| `text` | `str` |
| `role` | `str` |
| `lang` | `str` |
| `review_count` | `int` |
| `review_result` | `bool` |
| `deleted` | `bool` |
| `rank` | `NoneType` |
| `synthetic` | `bool` |
| `model_name` | `NoneType` |
| `detoxify` | `dict` |
| `message_tree_id` | `str` |
| `tree_state` | `str` |
| `emojis` | `dict` |
| `labels` | `dict` |
#### Split: `validation`
| Column Name | Data Type |
|---|---|
| `message_id` | `str` |
| `parent_id` | `NoneType` |
| `user_id` | `str` |
| `created_date` | `str` |
| `text` | `str` |
| `role` | `str` |
| `lang` | `str` |
| `review_count` | `int` |
| `review_result` | `bool` |
| `deleted` | `bool` |
| `rank` | `NoneType` |
| `synthetic` | `bool` |
| `model_name` | `NoneType` |
| `detoxify` | `dict` |
| `message_tree_id` | `str` |
| `tree_state` | `str` |
| `emojis` | `dict` |
| `labels` | `dict` |
|
gsdf/EasyNegative
|
gsdf
|
license:other, size_categories:n<1K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us
|
community
|
# Dataset: `gsdf/EasyNegative`
## 📝 Metadata
- **Author/Owner:** gsdf
- **Downloads:** 62861
- **Likes:** 1158
- **Tags:** license:other, size_categories:n<1K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us
- **License:** Not specified
## 📖 Description
```text
Negative Embedding
This is a Negative Embedding trained with Counterfeit. Please use it in the "\stable-diffusion-webui\embeddings" folder.It can be used with other models, but the effectiveness is not certain.
Counterfeit-V2.0.safetensors
AbyssOrangeMix2_sfw.safetensors
anything-v4.0-pruned.safetensors...
```
## 📂 File System Sample
- `.gitattributes`
- `EasyNegative.pt`
- `EasyNegative.safetensors`
- `README.md`
- `sample01.png`
- `sample02.png`
- `sample03.png`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `image` | `PngImageFile` |
|
togethercomputer/RedPajama-Data-1T
|
togethercomputer
|
task_categories:text-generation, language:en, size_categories:1M<n<10M, modality:text, library:datasets, library:mlcroissant, region:us
|
community
|
# Dataset: `togethercomputer/RedPajama-Data-1T`
## 📝 Metadata
- **Author/Owner:** togethercomputer
- **Downloads:** 979
- **Likes:** 1105
- **Tags:** task_categories:text-generation, language:en, size_categories:1M<n<10M, modality:text, library:datasets, library:mlcroissant, region:us
- **License:** Not specified
## 📖 Description
```text
RedPajama is a clean-room, fully open-source implementation of the LLaMa dataset....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `RedPajama-Data-1T.py`
- `urls/arxiv.txt`
- `urls/c4.txt`
- `urls/common_crawl.txt`
- `urls/github.txt`
- `urls/stackexchange.txt`
- `urls/wikipedia.txt`
## 📊 Data Structure
**Graceful Failure:**
```
Could not inspect the dataset's structure.
This is common for complex datasets that require executing remote code, which is disabled for stability.
Details: Dataset scripts are no longer supported, but found RedPajama-Data-1T.py
```
|
wikimedia/wikipedia
|
wikimedia
|
task_categories:text-generation, task_categories:fill-mask, task_ids:language-modeling, task_ids:masked-language-modeling, language:ab, language:ace, language:ady, language:af, language:alt, language:am, language:ami, language:an, language:ang, language:anp, language:ar, language:arc, language:ary, language:arz, language:as, language:ast, language:atj, language:av, language:avk, language:awa, language:ay, language:az, language:azb, language:ba, language:ban, language:bar, language:bbc, language:bcl, language:be, language:bg, language:bh, language:bi, language:bjn, language:blk, language:bm, language:bn, language:bo, language:bpy, language:br, language:bs, language:bug, language:bxr, language:ca, language:cbk, language:cdo, language:ce, language:ceb, language:ch, language:chr, language:chy, language:ckb, language:co, language:cr, language:crh, language:cs, language:csb, language:cu, language:cv, language:cy, language:da, language:dag, language:de, language:dga, language:din, language:diq, language:dsb, language:dty, language:dv, language:dz, language:ee, language:el, language:eml, language:en, language:eo, language:es, language:et, language:eu, language:ext, language:fa, language:fat, language:ff, language:fi, language:fj, language:fo, language:fon, language:fr, language:frp, language:frr, language:fur, language:fy, language:ga, language:gag, language:gan, language:gcr, language:gd, language:gl, language:glk, language:gn, language:gom, language:gor, language:got, language:gpe, language:gsw, language:gu, language:guc, language:gur, language:guw, language:gv, language:ha, language:hak, language:haw, language:hbs, language:he, language:hi, language:hif, language:hr, language:hsb, language:ht, language:hu, language:hy, language:hyw, language:ia, language:id, language:ie, language:ig, language:ik, language:ilo, language:inh, language:io, language:is, language:it, language:iu, language:ja, language:jam, language:jbo, language:jv, language:ka, language:kaa, language:kab, language:kbd, language:kbp, language:kcg, language:kg, language:ki, language:kk, language:kl, language:km, language:kn, language:ko, language:koi, language:krc, language:ks, language:ksh, language:ku, language:kv, language:kw, language:ky, language:la, language:lad, language:lb, language:lbe, language:lez, language:lfn, language:lg, language:li, language:lij, language:lld, language:lmo, language:ln, language:lo, language:lt, language:ltg, language:lv, language:lzh, language:mad, language:mai, language:map, language:mdf, language:mg, language:mhr, language:mi, language:min, language:mk, language:ml, language:mn, language:mni, language:mnw, language:mr, language:mrj, language:ms, language:mt, language:mwl, language:my, language:myv, language:mzn, language:nah, language:nan, language:nap, language:nds, language:ne, language:new, language:nia, language:nl, language:nn, language:no, language:nov, language:nqo, language:nrf, language:nso, language:nv, language:ny, language:oc, language:olo, language:om, language:or, language:os, language:pa, language:pag, language:pam, language:pap, language:pcd, language:pcm, language:pdc, language:pfl, language:pi, language:pih, language:pl, language:pms, language:pnb, language:pnt, language:ps, language:pt, language:pwn, language:qu, language:rm, language:rmy, language:rn, language:ro, language:ru, language:rue, language:rup, language:rw, language:sa, language:sah, language:sat, language:sc, language:scn, language:sco, language:sd, language:se, language:sg, language:sgs, language:shi, language:shn, language:si, language:sk, language:skr, language:sl, language:sm, language:smn, language:sn, language:so, language:sq, language:sr, language:srn, language:ss, language:st, language:stq, language:su, language:sv, language:sw, language:szl, language:szy, language:ta, language:tay, language:tcy, language:te, language:tet, language:tg, language:th, language:ti, language:tk, language:tl, language:tly, language:tn, language:to, language:tpi, language:tr, language:trv, language:ts, language:tt, language:tum, language:tw, language:ty, language:tyv, language:udm, language:ug, language:uk, language:ur, language:uz, language:ve, language:vec, language:vep, language:vi, language:vls, language:vo, language:vro, language:wa, language:war, language:wo, language:wuu, language:xal, language:xh, language:xmf, language:yi, language:yo, language:yue, language:za, language:zea, language:zgh, language:zh, language:zu, license:cc-by-sa-3.0, license:gfdl, size_categories:10M<n<100M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, region:us
|
community
|
# Dataset: `wikimedia/wikipedia`
## 📝 Metadata
- **Author/Owner:** wikimedia
- **Downloads:** 59399
- **Likes:** 955
- **Tags:** task_categories:text-generation, task_categories:fill-mask, task_ids:language-modeling, task_ids:masked-language-modeling, language:ab, language:ace, language:ady, language:af, language:alt, language:am, language:ami, language:an, language:ang, language:anp, language:ar, language:arc, language:ary, language:arz, language:as, language:ast, language:atj, language:av, language:avk, language:awa, language:ay, language:az, language:azb, language:ba, language:ban, language:bar, language:bbc, language:bcl, language:be, language:bg, language:bh, language:bi, language:bjn, language:blk, language:bm, language:bn, language:bo, language:bpy, language:br, language:bs, language:bug, language:bxr, language:ca, language:cbk, language:cdo, language:ce, language:ceb, language:ch, language:chr, language:chy, language:ckb, language:co, language:cr, language:crh, language:cs, language:csb, language:cu, language:cv, language:cy, language:da, language:dag, language:de, language:dga, language:din, language:diq, language:dsb, language:dty, language:dv, language:dz, language:ee, language:el, language:eml, language:en, language:eo, language:es, language:et, language:eu, language:ext, language:fa, language:fat, language:ff, language:fi, language:fj, language:fo, language:fon, language:fr, language:frp, language:frr, language:fur, language:fy, language:ga, language:gag, language:gan, language:gcr, language:gd, language:gl, language:glk, language:gn, language:gom, language:gor, language:got, language:gpe, language:gsw, language:gu, language:guc, language:gur, language:guw, language:gv, language:ha, language:hak, language:haw, language:hbs, language:he, language:hi, language:hif, language:hr, language:hsb, language:ht, language:hu, language:hy, language:hyw, language:ia, language:id, language:ie, language:ig, language:ik, language:ilo, language:inh, language:io, language:is, language:it, language:iu, language:ja, language:jam, language:jbo, language:jv, language:ka, language:kaa, language:kab, language:kbd, language:kbp, language:kcg, language:kg, language:ki, language:kk, language:kl, language:km, language:kn, language:ko, language:koi, language:krc, language:ks, language:ksh, language:ku, language:kv, language:kw, language:ky, language:la, language:lad, language:lb, language:lbe, language:lez, language:lfn, language:lg, language:li, language:lij, language:lld, language:lmo, language:ln, language:lo, language:lt, language:ltg, language:lv, language:lzh, language:mad, language:mai, language:map, language:mdf, language:mg, language:mhr, language:mi, language:min, language:mk, language:ml, language:mn, language:mni, language:mnw, language:mr, language:mrj, language:ms, language:mt, language:mwl, language:my, language:myv, language:mzn, language:nah, language:nan, language:nap, language:nds, language:ne, language:new, language:nia, language:nl, language:nn, language:no, language:nov, language:nqo, language:nrf, language:nso, language:nv, language:ny, language:oc, language:olo, language:om, language:or, language:os, language:pa, language:pag, language:pam, language:pap, language:pcd, language:pcm, language:pdc, language:pfl, language:pi, language:pih, language:pl, language:pms, language:pnb, language:pnt, language:ps, language:pt, language:pwn, language:qu, language:rm, language:rmy, language:rn, language:ro, language:ru, language:rue, language:rup, language:rw, language:sa, language:sah, language:sat, language:sc, language:scn, language:sco, language:sd, language:se, language:sg, language:sgs, language:shi, language:shn, language:si, language:sk, language:skr, language:sl, language:sm, language:smn, language:sn, language:so, language:sq, language:sr, language:srn, language:ss, language:st, language:stq, language:su, language:sv, language:sw, language:szl, language:szy, language:ta, language:tay, language:tcy, language:te, language:tet, language:tg, language:th, language:ti, language:tk, language:tl, language:tly, language:tn, language:to, language:tpi, language:tr, language:trv, language:ts, language:tt, language:tum, language:tw, language:ty, language:tyv, language:udm, language:ug, language:uk, language:ur, language:uz, language:ve, language:vec, language:vep, language:vi, language:vls, language:vo, language:vro, language:wa, language:war, language:wo, language:wuu, language:xal, language:xh, language:xmf, language:yi, language:yo, language:yue, language:za, language:zea, language:zgh, language:zh, language:zu, license:cc-by-sa-3.0, license:gfdl, size_categories:10M<n<100M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, region:us
- **License:** Not specified
## 📖 Description
```text
Dataset Card for Wikimedia Wikipedia
Dataset Summary
Wikipedia dataset containing cleaned articles of all languages.
The dataset is built from the Wikipedia dumps (https://dumps.wikimedia.org/)
with one subset per language, each containing a single train split.
Each example contains the content of one full Wikipedia article with cleaning to strip
markdown and unwanted sections (references, etc.).
All language subsets have already been processed for recent dump, and you… See the full description on the dataset page: https://huggingface.co/datasets/wikimedia/wikipedia....
```
## 📂 File System Sample
- `.gitattributes`
- `20231101.ab/train-00000-of-00001.parquet`
- `20231101.ace/train-00000-of-00001.parquet`
- `20231101.ady/train-00000-of-00001.parquet`
- `20231101.af/train-00000-of-00001.parquet`
- `20231101.als/train-00000-of-00001.parquet`
- `20231101.alt/train-00000-of-00001.parquet`
- `20231101.am/train-00000-of-00001.parquet`
- `20231101.ami/train-00000-of-00001.parquet`
- `20231101.an/train-00000-of-00001.parquet`
- `20231101.ang/train-00000-of-00001.parquet`
- `20231101.anp/train-00000-of-00001.parquet`
- `20231101.ar/train-00000-of-00007.parquet`
- `20231101.ar/train-00001-of-00007.parquet`
- `20231101.ar/train-00002-of-00007.parquet`
- ... and more.
## 📊 Data Structure
### Config: `20231101.ab`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `id` | `str` |
| `url` | `str` |
| `title` | `str` |
| `text` | `str` |
### Config: `20231101.ace`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `id` | `str` |
| `url` | `str` |
| `title` | `str` |
| `text` | `str` |
### Config: `20231101.ady`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `id` | `str` |
| `url` | `str` |
| `title` | `str` |
| `text` | `str` |
|
allenai/dolma
|
allenai
|
task_categories:text-generation, language:en, license:odc-by, size_categories:n>1T, arxiv:2402.00159, arxiv:2301.13688, region:us, language-modeling, casual-lm, llm
|
community
|
# Dataset: `allenai/dolma`
## 📝 Metadata
- **Author/Owner:** allenai
- **Downloads:** 1053
- **Likes:** 950
- **Tags:** task_categories:text-generation, language:en, license:odc-by, size_categories:n>1T, arxiv:2402.00159, arxiv:2301.13688, region:us, language-modeling, casual-lm, llm
- **License:** Not specified
## 📖 Description
```text
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research...
```
## 📂 File System Sample
- `.gitattributes`
- `.gitignore`
- `LICENSE.md`
- `README.md`
- `dolma.py`
- `urls/v1.txt`
- `urls/v1_5-sample.txt`
- `urls/v1_5.txt`
- `urls/v1_6-sample.txt`
- `urls/v1_6.txt`
- `urls/v1_7.txt`
## 📊 Data Structure
**Graceful Failure:**
```
Could not inspect the dataset's structure.
This is common for complex datasets that require executing remote code, which is disabled for stability.
Details: Dataset scripts are no longer supported, but found dolma.py
```
|
Nerfgun3/bad_prompt
|
Nerfgun3
|
language:en, license:creativeml-openrail-m, size_categories:n<1K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us, stable-diffusion, text-to-image, image-to-image
|
community
|
# Dataset: `Nerfgun3/bad_prompt`
## 📝 Metadata
- **Author/Owner:** Nerfgun3
- **Downloads:** 3413
- **Likes:** 926
- **Tags:** language:en, license:creativeml-openrail-m, size_categories:n<1K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us, stable-diffusion, text-to-image, image-to-image
- **License:** Not specified
## 📖 Description
```text
Negative Embedding / Textual Inversion
Idea
The idea behind this embedding was to somehow train the negative prompt as an embedding, thus unifying the basis of the negative prompt into one word or embedding.
Side note: Embedding has proven to be very helpful for the generation of hands! :)
Usage
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder.
Please put the embedding in the negative… See the full description on the dataset page: https://huggingface.co/datasets/Nerfgun3/bad_prompt....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `bad_prompt.pt`
- `bad_prompt_showcase.jpg`
- `bad_prompt_version2.pt`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `image` | `JpegImageFile` |
|
openai/gsm8k
|
openai
|
annotations_creators:crowdsourced, language_creators:crowdsourced, multilinguality:monolingual, source_datasets:original, language:en, license:mit, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2110.14168, region:us, math-word-problems
|
community
|
# Dataset: `openai/gsm8k`
## 📝 Metadata
- **Author/Owner:** openai
- **Downloads:** 392383
- **Likes:** 916
- **Tags:** annotations_creators:crowdsourced, language_creators:crowdsourced, multilinguality:monolingual, source_datasets:original, language:en, license:mit, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2110.14168, region:us, math-word-problems
- **License:** Not specified
## 📖 Description
```text
Dataset Card for GSM8K
Dataset Summary
GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality linguistically diverse grade school math word problems. The dataset was created to support the task of question answering on basic mathematical problems that require multi-step reasoning.
These problems take between 2 and 8 steps to solve.
Solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to reach the… See the full description on the dataset page: https://huggingface.co/datasets/openai/gsm8k....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `main/test-00000-of-00001.parquet`
- `main/train-00000-of-00001.parquet`
- `socratic/test-00000-of-00001.parquet`
- `socratic/train-00000-of-00001.parquet`
## 📊 Data Structure
### Config: `main`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `question` | `str` |
| `answer` | `str` |
#### Split: `test`
| Column Name | Data Type |
|---|---|
| `question` | `str` |
| `answer` | `str` |
### Config: `socratic`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `question` | `str` |
| `answer` | `str` |
#### Split: `test`
| Column Name | Data Type |
|---|---|
| `question` | `str` |
| `answer` | `str` |
|
FreedomIntelligence/medical-o1-reasoning-SFT
|
FreedomIntelligence
|
task_categories:question-answering, task_categories:text-generation, language:en, language:zh, license:apache-2.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2412.18925, region:us, medical, biology
|
community
|
# Dataset: `FreedomIntelligence/medical-o1-reasoning-SFT`
## 📝 Metadata
- **Author/Owner:** FreedomIntelligence
- **Downloads:** 8139
- **Likes:** 914
- **Tags:** task_categories:question-answering, task_categories:text-generation, language:en, language:zh, license:apache-2.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2412.18925, region:us, medical, biology
- **License:** Not specified
## 📖 Description
```text
News
[2025/04/22] We split the data and kept only the medical SFT dataset (medical_o1_sft.json). The file medical_o1_sft_mix.json contains a mix of medical and general instruction data.
[2025/02/22] We released the distilled dataset from Deepseek-R1 based on medical verifiable problems. You can use it to initialize your models with the reasoning chain from Deepseek-R1.
[2024/12/25] We open-sourced the medical reasoning dataset for SFT, built on medical verifiable problems and an LLM… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `medical_o1_sft.json`
- `medical_o1_sft_Chinese.json`
- `medical_o1_sft_mix.json`
- `medical_o1_sft_mix_Chinese.json`
## 📊 Data Structure
### Config: `en`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `Question` | `str` |
| `Complex_CoT` | `str` |
| `Response` | `str` |
### Config: `zh`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `Question` | `str` |
| `Complex_CoT` | `str` |
| `Response` | `str` |
### Config: `en_mix`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `Question` | `str` |
| `Complex_CoT` | `str` |
| `Response` | `str` |
|
tiiuae/falcon-refinedweb
|
tiiuae
|
task_categories:text-generation, language:en, license:odc-by, size_categories:100M<n<1B, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2306.01116, arxiv:2203.15556, arxiv:2107.06499, arxiv:2104.08758, arxiv:2109.07445, arxiv:1911.00359, arxiv:2112.11446, doi:10.57967/hf/0737, region:us
|
community
|
# Dataset: `tiiuae/falcon-refinedweb`
## 📝 Metadata
- **Author/Owner:** tiiuae
- **Downloads:** 18764
- **Likes:** 874
- **Tags:** task_categories:text-generation, language:en, license:odc-by, size_categories:100M<n<1B, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2306.01116, arxiv:2203.15556, arxiv:2107.06499, arxiv:2104.08758, arxiv:2109.07445, arxiv:1911.00359, arxiv:2112.11446, doi:10.57967/hf/0737, region:us
- **License:** Not specified
## 📖 Description
```text
📀 Falcon RefinedWeb
Falcon RefinedWeb is a massive English web dataset built by TII and released under an ODC-By 1.0 license.
See the 📓 paper on arXiv for more details.
RefinedWeb is built through stringent filtering and large-scale deduplication of CommonCrawl; we found models trained on RefinedWeb to achieve performance in-line or better than models trained on curated datasets, while only relying on web data.
RefinedWeb is also "multimodal-friendly": it contains links and alt… See the full description on the dataset page: https://huggingface.co/datasets/tiiuae/falcon-refinedweb....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/train-00000-of-05534-b8fc5348cbe605a5.parquet`
- `data/train-00001-of-05534-9bca3ce859516338.parquet`
- `data/train-00002-of-05534-01680948bd81de83.parquet`
- `data/train-00003-of-05534-b7806bb8ca893c23.parquet`
- `data/train-00004-of-05534-cbe1137f523084a7.parquet`
- `data/train-00005-of-05534-e4a5eae6c1419c9b.parquet`
- `data/train-00006-of-05534-5bc49be138fd315b.parquet`
- `data/train-00007-of-05534-c185da59aece723d.parquet`
- `data/train-00008-of-05534-8ed029166c6795cf.parquet`
- `data/train-00009-of-05534-f0954d1648b16e88.parquet`
- `data/train-00010-of-05534-5373970b3705bfc5.parquet`
- `data/train-00011-of-05534-7d7970b7bb98922c.parquet`
- `data/train-00012-of-05534-acf3fb5fee2b7e50.parquet`
- ... and more.
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `content` | `str` |
| `url` | `str` |
| `timestamp` | `datetime` |
| `dump` | `str` |
| `segment` | `str` |
| `image_urls` | `list` |
|
databricks/databricks-dolly-15k
|
databricks
|
task_categories:question-answering, task_categories:summarization, language:en, license:cc-by-sa-3.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2203.02155, region:us
|
community
|
# Dataset: `databricks/databricks-dolly-15k`
## 📝 Metadata
- **Author/Owner:** databricks
- **Downloads:** 17847
- **Likes:** 873
- **Tags:** task_categories:question-answering, task_categories:summarization, language:en, license:cc-by-sa-3.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2203.02155, region:us
- **License:** Not specified
## 📖 Description
```text
Summary
databricks-dolly-15k is an open source dataset of instruction-following records generated by thousands of Databricks employees in several
of the behavioral categories outlined in the InstructGPT paper, including brainstorming, classification,
closed QA, generation, information extraction, open QA, and summarization.
This dataset can be used for any purpose, whether academic or commercial, under the terms of the
Creative Commons Attribution-ShareAlike 3.0 Unported… See the full description on the dataset page: https://huggingface.co/datasets/databricks/databricks-dolly-15k....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `databricks-dolly-15k.jsonl`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `instruction` | `str` |
| `context` | `str` |
| `response` | `str` |
| `category` | `str` |
|
bigcode/the-stack
|
bigcode
|
task_categories:text-generation, language_creators:crowdsourced, language_creators:expert-generated, multilinguality:multilingual, language:code, license:other, size_categories:100M<n<1B, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2211.15533, arxiv:2107.03374, arxiv:2207.14157, region:us
|
community
|
# Dataset: `bigcode/the-stack`
## 📝 Metadata
- **Author/Owner:** bigcode
- **Downloads:** 35573
- **Likes:** 865
- **Tags:** task_categories:text-generation, language_creators:crowdsourced, language_creators:expert-generated, multilinguality:multilingual, language:code, license:other, size_categories:100M<n<1B, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2211.15533, arxiv:2107.03374, arxiv:2207.14157, region:us
- **License:** Not specified
## 📖 Description
```text
Dataset Card for The Stack
Changelog
Release
Description
v1.0
Initial release of the Stack. Included 30 programming languages and 18 permissive licenses. Note: Three included licenses (MPL/EPL/LGPL) are considered weak copyleft licenses. The resulting near-deduplicated dataset is 3TB in size.
v1.1
The three copyleft licenses ((MPL/EPL/LGPL) were excluded and the list of permissive licenses extended to 193 licenses in total. The list of programming languages… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/abap/train-00000-of-00001.parquet`
- `data/actionscript/train-00000-of-00002.parquet`
- `data/actionscript/train-00001-of-00002.parquet`
- `data/ada/train-00000-of-00001.parquet`
- `data/agda/train-00000-of-00001.parquet`
- `data/ags-script/train-00000-of-00001.parquet`
- `data/alloy/train-00000-of-00001.parquet`
- `data/ampl/train-00000-of-00001.parquet`
- `data/antlr/train-00000-of-00001.parquet`
- `data/apacheconf/train-00000-of-00001.parquet`
- `data/api-blueprint/train-00000-of-00001.parquet`
- `data/apl/train-00000-of-00001.parquet`
- `data/applescript/train-00000-of-00001.parquet`
- ... and more.
## 📊 Data Structure
**Graceful Failure:**
```
Could not inspect the dataset's structure.
This is common for complex datasets that require executing remote code, which is disabled for stability.
Details: Dataset 'bigcode/the-stack' is a gated dataset on the Hub. Visit the dataset page at https://huggingface.co/datasets/bigcode/the-stack to ask for access.
```
|
anon8231489123/ShareGPT_Vicuna_unfiltered
|
anon8231489123
|
language:en, license:apache-2.0, region:us
|
community
|
# Dataset: `anon8231489123/ShareGPT_Vicuna_unfiltered`
## 📝 Metadata
- **Author/Owner:** anon8231489123
- **Downloads:** 43135
- **Likes:** 822
- **Tags:** language:en, license:apache-2.0, region:us
- **License:** Not specified
## 📖 Description
```text
Further cleaning done. Please look through the dataset and ensure that I didn't miss anything.
Update: Confirmed working method for training the model: https://huggingface.co/AlekseyKorshuk/vicuna-7b/discussions/4#64346c08ef6d5abefe42c12c
Two choices:
Removes instances of "I'm sorry, but": https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/blob/main/ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json
Has instances of "I'm sorry, but":… See the full description on the dataset page: https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered....
```
## 📂 File System Sample
- `.gitattributes`
- `HTML_cleaned_raw_dataset/sg_90k_part1.json`
- `HTML_cleaned_raw_dataset/sg_90k_part1_html_cleaned.json`
- `HTML_cleaned_raw_dataset/sg_90k_part2.json`
- `HTML_cleaned_raw_dataset/sg_90k_part2_html_cleaned.json`
- `README.md`
- `ShareGPT_V3_unfiltered_cleaned_split.json`
- `ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json`
- `Vicuna_unfiltered_train.ipynb`
- `clean_sharegpt.py`
- `flash_attn-0.2.8-cp39-cp39-linux_x86_64.whl`
- `optional_clean.py`
- `pretty_json.py`
- `split_long_conversation.py`
## 📊 Data Structure
**Graceful Failure:**
```
Could not inspect the dataset's structure.
This is common for complex datasets that require executing remote code, which is disabled for stability.
Details: No (supported) data files found in anon8231489123/ShareGPT_Vicuna_unfiltered
```
|
tatsu-lab/alpaca
|
tatsu-lab
|
task_categories:text-generation, language:en, license:cc-by-nc-4.0, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, instruction-finetuning
|
community
|
# Dataset: `tatsu-lab/alpaca`
## 📝 Metadata
- **Author/Owner:** tatsu-lab
- **Downloads:** 39139
- **Likes:** 812
- **Tags:** task_categories:text-generation, language:en, license:cc-by-nc-4.0, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, instruction-finetuning
- **License:** Not specified
## 📖 Description
```text
Dataset Card for Alpaca
Dataset Summary
Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's text-davinci-003 engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better.
The authors built on the data generation pipeline from Self-Instruct framework and made the following modifications:
The text-davinci-003 engine to generate the instruction data instead… See the full description on the dataset page: https://huggingface.co/datasets/tatsu-lab/alpaca....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/train-00000-of-00001-a09b74b3ef9c3b56.parquet`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `instruction` | `str` |
| `input` | `str` |
| `output` | `str` |
| `text` | `str` |
|
HuggingFaceFW/fineweb-edu
|
HuggingFaceFW
|
task_categories:text-generation, language:en, license:odc-by, size_categories:1B<n<10B, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2406.17557, arxiv:2404.14219, arxiv:2401.10020, arxiv:2109.07445, doi:10.57967/hf/2497, region:us
|
community
|
# Dataset: `HuggingFaceFW/fineweb-edu`
## 📝 Metadata
- **Author/Owner:** HuggingFaceFW
- **Downloads:** 360780
- **Likes:** 786
- **Tags:** task_categories:text-generation, language:en, license:odc-by, size_categories:1B<n<10B, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2406.17557, arxiv:2404.14219, arxiv:2401.10020, arxiv:2109.07445, doi:10.57967/hf/2497, region:us
- **License:** Not specified
## 📖 Description
```text
📚 FineWeb-Edu
1.3 trillion tokens of the finest educational data the 🌐 web has to offer
Paper: https://arxiv.org/abs/2406.17557
What is it?
📚 FineWeb-Edu dataset consists of 1.3T tokens and 5.4T tokens (FineWeb-Edu-score-2) of educational web pages filtered from 🍷 FineWeb dataset. This is the 1.3 trillion version.
To enhance FineWeb's quality, we developed an educational quality classifier using annotations generated by LLama3-70B-Instruct. We then… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/CC-MAIN-2013-20/train-00000-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00001-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00002-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00003-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00004-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00005-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00006-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00007-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00008-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00009-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00010-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00011-of-00014.parquet`
- `data/CC-MAIN-2013-20/train-00012-of-00014.parquet`
- ... and more.
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `NoneType` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `token_count` | `int` |
| `score` | `float` |
| `int_score` | `int` |
### Config: `sample-10BT`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `token_count` | `int` |
| `score` | `float` |
| `int_score` | `int` |
### Config: `sample-100BT`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `token_count` | `int` |
| `score` | `float` |
| `int_score` | `int` |
|
roneneldan/TinyStories
|
roneneldan
|
task_categories:text-generation, language:en, license:cdla-sharing-1.0, size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2305.07759, region:us
|
community
|
# Dataset: `roneneldan/TinyStories`
## 📝 Metadata
- **Author/Owner:** roneneldan
- **Downloads:** 44344
- **Likes:** 769
- **Tags:** task_categories:text-generation, language:en, license:cdla-sharing-1.0, size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2305.07759, region:us
- **License:** Not specified
## 📖 Description
```text
Dataset containing synthetically generated (by GPT-3.5 and GPT-4) short stories that only use a small vocabulary.
Described in the following paper: https://arxiv.org/abs/2305.07759.
The models referred to in the paper were trained on TinyStories-train.txt (the file tinystories-valid.txt can be used for validation loss). These models can be found on Huggingface, at roneneldan/TinyStories-1M/3M/8M/28M/33M/1Layer-21M.
Additional resources:
tinystories_all_data.tar.gz - contains a superset of… See the full description on the dataset page: https://huggingface.co/datasets/roneneldan/TinyStories....
```
## 📂 File System Sample
- `.gitattributes`
- `Evaluation prompts.yaml`
- `MLP_input_output.npy`
- `README.md`
- `TinyStories-train.txt`
- `TinyStories-valid.txt`
- `TinyStoriesV2-GPT4-train.txt`
- `TinyStoriesV2-GPT4-valid.txt`
- `TinyStories_all_data.tar.gz`
- `data/train-00000-of-00004-2d5a1467fff1081b.parquet`
- `data/train-00001-of-00004-5852b56a2bd28fd9.parquet`
- `data/train-00002-of-00004-a26307300439e943.parquet`
- `data/train-00003-of-00004-d243063613e5a057.parquet`
- `data/validation-00000-of-00001-869c898b519ad725.parquet`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
#### Split: `validation`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
|
open-thoughts/OpenThoughts-114k
|
open-thoughts
|
license:apache-2.0, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2506.04178, region:us, curator, synthetic
|
community
|
# Dataset: `open-thoughts/OpenThoughts-114k`
## 📝 Metadata
- **Author/Owner:** open-thoughts
- **Downloads:** 42796
- **Likes:** 766
- **Tags:** license:apache-2.0, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2506.04178, region:us, curator, synthetic
- **License:** Not specified
## 📖 Description
```text
[!NOTE]
We have released a paper for OpenThoughts! See our paper here.
Open-Thoughts-114k
Open synthetic reasoning dataset with 114k high-quality examples covering math, science, code, and puzzles!
Inspect the content with rich formatting with Curator Viewer.
Available Subsets
default subset containing ready-to-train data used to finetune the OpenThinker-7B and OpenThinker-32B models:
ds = load_dataset("open-thoughts/OpenThoughts-114k", split="train")… See the full description on the dataset page: https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/train-00000-of-00006.parquet`
- `data/train-00001-of-00006.parquet`
- `data/train-00002-of-00006.parquet`
- `data/train-00003-of-00006.parquet`
- `data/train-00004-of-00006.parquet`
- `data/train-00005-of-00006.parquet`
- `diagram.png`
- `diagram_dark.png`
- `metadata/train-00000-of-00012.parquet`
- `metadata/train-00001-of-00012.parquet`
- `metadata/train-00002-of-00012.parquet`
- `metadata/train-00003-of-00012.parquet`
- `metadata/train-00004-of-00012.parquet`
- ... and more.
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `system` | `str` |
| `conversations` | `list` |
### Config: `metadata`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `problem` | `str` |
| `deepseek_reasoning` | `str` |
| `deepseek_solution` | `str` |
| `ground_truth_solution` | `str` |
| `domain` | `str` |
| `source` | `str` |
| `test_cases` | `NoneType` |
| `starter_code` | `NoneType` |
|
teknium/OpenHermes-2.5
|
teknium
|
language:eng, size_categories:1M<n<10M, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, synthetic, GPT-4, Distillation, Compilation
|
community
|
# Dataset: `teknium/OpenHermes-2.5`
## 📝 Metadata
- **Author/Owner:** teknium
- **Downloads:** 2983
- **Likes:** 762
- **Tags:** language:eng, size_categories:1M<n<10M, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, synthetic, GPT-4, Distillation, Compilation
- **License:** Not specified
## 📖 Description
```text
Dataset Card for Dataset Name
This is the dataset that made OpenHermes 2.5 and Nous Hermes 2 series of models.
Support me on GitHub sponsors <3 : https://github.com/sponsors/teknium1
Dataset Details
Dataset Description
The Open Hermes 2/2.5 and Nous Hermes 2 models have made significant advancements of SOTA LLM's over recent months, and are underpinned by this exact compilation and curation of many open source datasets and custom created synthetic datasets.… See the full description on the dataset page: https://huggingface.co/datasets/teknium/OpenHermes-2.5....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `openhermes2_5.json`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `custom_instruction` | `NoneType` |
| `topic` | `NoneType` |
| `model_name` | `NoneType` |
| `model` | `NoneType` |
| `skip_prompt_formatting` | `bool` |
| `category` | `str` |
| `conversations` | `list` |
| `views` | `NoneType` |
| `language` | `NoneType` |
| `id` | `NoneType` |
| `title` | `NoneType` |
| `idx` | `NoneType` |
| `hash` | `NoneType` |
| `avatarUrl` | `NoneType` |
| `system_prompt` | `NoneType` |
| `source` | `str` |
|
lmsys/lmsys-chat-1m
|
lmsys
|
size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2309.11998, region:us
|
community
|
# Dataset: `lmsys/lmsys-chat-1m`
## 📝 Metadata
- **Author/Owner:** lmsys
- **Downloads:** 9564
- **Likes:** 749
- **Tags:** size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2309.11998, region:us
- **License:** Not specified
## 📖 Description
```text
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
This dataset contains one million real-world conversations with 25 state-of-the-art LLMs.
It is collected from 210K unique IP addresses in the wild on the Vicuna demo and Chatbot Arena website from April to August 2023.
Each sample includes a conversation ID, model name, conversation text in OpenAI API JSON format, detected language tag, and OpenAI moderation API tag.
User consent is obtained through the "Terms of use"… See the full description on the dataset page: https://huggingface.co/datasets/lmsys/lmsys-chat-1m....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/train-00000-of-00006-4feeb3f83346a0e9.parquet`
- `data/train-00001-of-00006-4030672591c2f478.parquet`
- `data/train-00002-of-00006-1779b7cec9462180.parquet`
- `data/train-00003-of-00006-2fa862bfed56af1f.parquet`
- `data/train-00004-of-00006-18f4bdd50c103e71.parquet`
- `data/train-00005-of-00006-fe1acc5d10a9f0e2.parquet`
## 📊 Data Structure
**Graceful Failure:**
```
Could not inspect the dataset's structure.
This is common for complex datasets that require executing remote code, which is disabled for stability.
Details: Dataset 'lmsys/lmsys-chat-1m' is a gated dataset on the Hub. Visit the dataset page at https://huggingface.co/datasets/lmsys/lmsys-chat-1m to ask for access.
```
|
QingyiSi/Alpaca-CoT
|
QingyiSi
|
language:en, language:zh, language:ml, license:apache-2.0, region:us, Instruction, Cot
|
community
|
# Dataset: `QingyiSi/Alpaca-CoT`
## 📝 Metadata
- **Author/Owner:** QingyiSi
- **Downloads:** 7634
- **Likes:** 737
- **Tags:** language:en, language:zh, language:ml, license:apache-2.0, region:us, Instruction, Cot
- **License:** Not specified
## 📖 Description
```text
Instruction-Finetuning Dataset Collection (Alpaca-CoT)
This repository will continuously collect various instruction tuning datasets. And we standardize different datasets into the same format, which can be directly loaded by the code of Alpaca model.
We also have conducted empirical study on various instruction-tuning datasets based on the Alpaca model, as shown in https://github.com/PhoebusSi/alpaca-CoT.
If you think this dataset collection is helpful to you, please like this… See the full description on the dataset page: https://huggingface.co/datasets/QingyiSi/Alpaca-CoT....
```
## 📂 File System Sample
- `.gitattributes`
- `Auto-CoT/Auto-CoT.json`
- `Auto-CoT/Auto.json`
- `COIG/counterfactural_correction_multi_round_chat.json`
- `COIG/counterfactural_correction_multi_round_chat_context.json`
- `COIG/exam.json`
- `COIG/human-value-alignment_common.json`
- `COIG/human-value-alignment_special.json`
- `COIG/leetcode.json`
- `COIG/translate_en.json`
- `COIG/translate_zh.json`
- `CSL/csl.json`
- `Chain-of-Thought/CoT_Chinese_data.json`
- `Chain-of-Thought/CoT_data.json`
- `Chain-of-Thought/README.md`
- ... and more.
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `instruction` | `str` |
| `input` | `str` |
| `output` | `str` |
#### Split: `validation`
| Column Name | Data Type |
|---|---|
| `instruction` | `str` |
| `input` | `str` |
| `output` | `str` |
#### Split: `test`
| Column Name | Data Type |
|---|---|
| `instruction` | `str` |
| `input` | `str` |
| `output` | `str` |
|
yahma/alpaca-cleaned
|
yahma
|
task_categories:text-generation, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, instruction-finetuning
|
community
|
# Dataset: `yahma/alpaca-cleaned`
## 📝 Metadata
- **Author/Owner:** yahma
- **Downloads:** 27344
- **Likes:** 736
- **Tags:** task_categories:text-generation, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, instruction-finetuning
- **License:** Not specified
## 📖 Description
```text
Dataset Card for Alpaca-Cleaned
Repository: https://github.com/gururise/AlpacaDataCleaned
Dataset Description
This is a cleaned version of the original Alpaca Dataset released by Stanford. The following issues have been identified in the original release and fixed in this dataset:
Hallucinations: Many instructions in the original dataset had instructions referencing data on the internet, which just caused GPT3 to hallucinate an answer.
"instruction":"Summarize the… See the full description on the dataset page: https://huggingface.co/datasets/yahma/alpaca-cleaned....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `alpaca_data_cleaned.json`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `output` | `str` |
| `input` | `str` |
| `instruction` | `str` |
|
Congliu/Chinese-DeepSeek-R1-Distill-data-110k
|
Congliu
|
task_categories:text-generation, task_categories:question-answering, language:zh, license:apache-2.0, size_categories:100K<n<1M, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us
|
community
|
# Dataset: `Congliu/Chinese-DeepSeek-R1-Distill-data-110k`
## 📝 Metadata
- **Author/Owner:** Congliu
- **Downloads:** 716
- **Likes:** 703
- **Tags:** task_categories:text-generation, task_categories:question-answering, language:zh, license:apache-2.0, size_categories:100K<n<1M, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us
- **License:** Not specified
## 📖 Description
```text
中文基于满血DeepSeek-R1蒸馏数据集（Chinese-Data-Distill-From-R1）
🤗 Hugging Face | 🤖 ModelScope | 🚀 Github | 📑 Blog
注意：提供了直接SFT使用的版本，点击下载。将数据中的思考和答案整合成output字段，大部分SFT代码框架均可直接直接加载训练。
本数据集为中文开源蒸馏满血R1的数据集，数据集中不仅包含math数据，还包括大量的通用类型数据，总数量为110K。
为什么开源这个数据？
R1的效果十分强大，并且基于R1蒸馏数据SFT的小模型也展现出了强大的效果，但检索发现，大部分开源的R1蒸馏数据集均为英文数据集。 同时，R1的报告中展示，蒸馏模型中同时也使用了部分通用场景数据集。
为了帮助大家更好地复现R1蒸馏模型的效果，特此开源中文数据集。该中文数据集中的数据分布如下：
Math：共计36568个样本，
Exam：共计2432个样本，
STEM：共计12648个样本，… See the full description on the dataset page: https://huggingface.co/datasets/Congliu/Chinese-DeepSeek-R1-Distill-data-110k....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `distill_r1_110k.jsonl`
## 📊 Data Structure
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `input` | `str` |
| `content` | `str` |
| `reasoning_content` | `str` |
| `repo_name` | `str` |
| `prompt_tokens_len` | `int` |
| `content_tokens_len` | `int` |
| `reasoning_content_tokens_len` | `int` |
| `score` | `int` |
|
HuggingFaceFW/fineweb-2
|
HuggingFaceFW
|
task_categories:text-generation, language:aai, language:aak, language:aau, language:aaz, language:aba, language:abi, language:abk, language:abn, language:abq, language:abs, language:abt, language:abx, language:aby, language:abz, language:aca, language:acd, language:ace, language:acf, language:ach, language:acm, language:acn, language:acr, language:acu, language:ada, language:ade, language:adh, language:adi, language:adj, language:adl, language:ady, language:adz, language:aeb, language:aer, language:aeu, language:aey, language:afr, language:agd, language:agg, language:agm, language:agn, language:agr, language:agt, language:agu, language:agw, language:agx, language:aha, language:ahk, language:aia, language:aii, language:aim, language:ain, language:ajg, language:aji, language:ajz, language:akb, language:ake, language:akh, language:akp, language:alj, language:aln, language:alp, language:alq, language:als, language:alt, language:aly, language:alz, language:ame, language:amf, language:amh, language:ami, language:amk, language:amm, language:amn, language:amp, language:amr, language:amu, language:amx, language:ang, language:anm, language:ann, language:anp, language:anv, language:any, language:aoi, language:aoj, language:aom, language:aoz, language:apb, language:apc, language:ape, language:apn, language:apr, language:apt, language:apu, language:apw, language:apy, language:apz, language:arb, language:are, language:arg, language:arl, language:arn, language:arp, language:arq, language:ars, language:ary, language:arz, language:asg, language:asm, language:aso, language:ast, language:ata, language:atb, language:atd, language:atg, language:ati, language:atj, language:atq, language:att, language:auc, language:aui, language:auy, language:ava, language:avk, language:avn, language:avt, language:avu, language:awa, language:awb, language:awx, language:ayo, language:ayp, language:ayr, language:azb, language:azg, language:azj, language:azz, language:bak, language:bam, language:ban, language:bao, language:bar, language:bas, language:bav, language:bba, language:bbb, language:bbc, language:bbj, language:bbk, language:bbo, language:bbr, language:bch, language:bci, language:bcl, language:bco, language:bcw, language:bdd, language:bdh, language:bdq, language:bea, language:bef, language:bel, language:bem, language:ben, language:beq, language:bew, language:bex, language:bfd, language:bfo, language:bgr, language:bgs, language:bgt, language:bgz, language:bhg, language:bhl, language:bho, language:bhp, language:bhw, language:bhz, language:bib, language:big, language:bim, language:bin, language:bis, language:biu, language:biv, language:bjn, language:bjp, language:bjr, language:bjv, language:bkd, language:bkl, language:bkq, language:bku, language:bkv, language:bla, language:blh, language:blk, language:blw, language:blz, language:bmh, language:bmk, language:bmq, language:bmr, language:bmu, language:bmv, language:bno, language:bnp, language:boa, language:bod, language:boj, language:bom, language:bon, language:bos, language:bov, language:box, language:bpr, language:bps, language:bpy, language:bqc, language:bqj, language:bqp, language:bre, language:brh, language:bru, language:brx, language:bsc, language:bsn, language:bsp, language:bsq, language:bss, language:btd, language:bth, language:bts, language:btt, language:btx, language:bud, language:bug, language:buk, language:bul, language:bum, language:bus, language:bvc, language:bvd, language:bvr, language:bvz, language:bwd, language:bwi, language:bwq, language:bwu, language:bxh, language:bxr, language:byr, language:byv, language:byx, language:bzd, language:bzh, language:bzi, language:bzj, language:caa, language:cab, language:cac, language:caf, language:cag, language:cak, language:cao, language:cap, language:caq, language:car, language:cas, language:cat, language:cav, language:cax, language:cbc, language:cbi, language:cbk, language:cbr, language:cbs, language:cbt, language:cbu, language:cbv, language:cce, language:cco, language:ccp, language:ceb, language:ceg, language:cek, language:ces, language:cfm, language:cgc, language:cgg, language:cha, language:chd, language:che, language:chf, language:chj, language:chk, language:cho, language:chq, language:chr, language:chu, language:chv, language:chw, language:chz, language:cjk, language:cjo, language:cjp, language:cjs, language:cjv, language:ckb, language:cko, language:ckt, language:cle, language:clu, language:cly, language:cme, language:cmn, language:cmo, language:cmr, language:cnh, language:cni, language:cnk, language:cnl, language:cnt, language:cnw, language:coe, language:cof, language:cok, language:con, language:cop, language:cor, language:cos, language:cot, language:cou, language:cpa, language:cpb, language:cpc, language:cpu, language:cpy, language:crh, language:crj, language:crk, language:crl, language:crm, language:crn, language:crs, language:crt, language:crx, language:csb, language:csk, language:cso, language:csw, language:csy, language:cta, language:ctd, language:cto, language:ctp, language:ctu, language:cub, language:cuc, language:cui, language:cuk, language:cul, language:cut, language:cux, language:cwe, language:cwt, language:cya, language:cym, language:czt, language:daa, language:dad, language:daf, language:dag, language:dah, language:dak, language:dan, language:dar, language:ddg, language:ddn, language:ded, language:des, language:deu, language:dga, language:dgc, language:dgi, language:dgr, language:dgz, language:dhg, language:dhm, language:dhv, language:did, language:dig, language:dik, language:diq, language:dis, language:diu, language:div, language:dje, language:djk, language:djr, language:dks, language:dln, language:dng, language:dnj, language:dnw, language:dob, language:doi, language:dop, language:dos, language:dow, language:drg, language:dru, language:dsb, language:dtb, language:dtp, language:dts, language:dty, language:dua, language:due, language:dug, language:duo, language:dur, language:dwr, language:dww, language:dyi, language:dyo, language:dyu, language:dzo, language:ebk, language:efi, language:eka, language:ekk, language:eko, language:ell, language:emi, language:eml, language:emp, language:enb, language:enl, language:enm, language:enq, language:enx, language:epo, language:eri, language:ese, language:esi, language:esk, language:ess, language:esu, language:eto, language:etr, language:etu, language:eus, language:eve, language:ewe, language:ewo, language:ext, language:eza, language:faa, language:fad, language:fai, language:fal, language:fan, language:fao, language:far, language:fas, language:fat, language:ffm, language:fij, language:fil, language:fin, language:fit, language:fkv, language:fmu, language:fon, language:for, language:fra, language:frd, language:fro, language:frp, language:frr, language:fry, language:fub, language:fud, language:fue, language:fuf, language:fuh, language:fuq, language:fur, language:fuv, language:gaa, language:gag, language:gah, language:gai, language:gam, language:gaw, language:gaz, language:gbi, language:gbo, language:gbr, language:gcf, language:gcr, language:gde, language:gdg, language:gdn, language:gdr, language:geb, language:gej, language:gfk, language:ghs, language:gid, language:gil, language:giz, language:gjn, language:gkn, language:gla, language:gle, language:glg, language:glk, language:glv, language:gmh, language:gmv, language:gna, language:gnb, language:gnd, language:gng, language:gnn, language:gnw, language:goa, language:gof, language:gog, language:goh, language:gom, language:gor, language:gos, language:got, language:gqr, language:grc, language:grt, language:gso, language:gsw, language:gub, language:guc, language:gud, language:gug, language:guh, language:gui, language:guj, language:guk, language:gul, language:gum, language:gun, language:guo, language:guq, language:gur, language:guu, language:guw, language:gux, language:guz, language:gvc, language:gvf, language:gvl, language:gvn, language:gwi, language:gwr, language:gya, language:gym, language:gyr, language:hac, language:hae, language:hag, language:hak, language:hat, language:hau, language:hav, language:haw, language:hay, language:hbo, language:hch, language:heb, language:heg, language:heh, language:her, language:hif, language:hig, language:hil, language:hin, language:hix, language:hla, language:hmo, language:hmr, language:hne, language:hnj, language:hnn, language:hns, language:hop, language:hot, language:hra, language:hrv, language:hrx, language:hsb, language:hto, language:hub, language:hui, language:hun, language:hus, language:huu, language:huv, language:hvn, language:hwc, language:hye, language:hyw, language:ian, language:iba, language:ibg, language:ibo, language:icr, language:ido, language:idu, language:ifa, language:ifb, language:ife, language:ifk, language:ifu, language:ify, language:ige, language:ign, language:ike, language:ikk, language:ikt, language:ikw, language:ilb, language:ile, language:ilo, language:imo, language:ina, language:inb, language:ind, language:inh, language:ino, language:iou, language:ipi, language:iqw, language:iri, language:irk, language:iry, language:isd, language:ish, language:isl, language:iso, language:ita, language:itv, language:ium, language:ivb, language:ivv, language:iws, language:ixl, language:izr, language:izz, language:jaa, language:jac, language:jae, language:jam, language:jav, language:jbo, language:jbu, language:jic, language:jiv, language:jmc, language:jpn, language:jra, language:jun, language:jvn, language:kaa, language:kab, language:kac, language:kak, language:kal, language:kam, language:kan, language:kao, language:kaq, language:kas, language:kat, language:kaz, language:kbc, language:kbd, language:kbh, language:kbm, language:kbo, language:kbp, language:kbq, language:kbr, language:kby, language:kca, language:kcg, language:kck, language:kdc, language:kde, language:kdh, language:kdi, language:kdj, language:kdl, language:kdr, language:kea, language:kei, language:kek, language:ken, language:keo, language:ker, language:kew, language:kez, language:kff, language:kgf, language:kgk, language:kgp, language:kgr, language:kha, language:khk, language:khm, language:khs, language:khz, language:kia, language:kij, language:kik, language:kin, language:kir, language:kiu, language:kix, language:kjb, language:kje, language:kjh, language:kjs, language:kkc, language:kki, language:kkj, language:kkl, language:kle, language:klt, language:klv, language:kmb, language:kmg, language:kmh, language:kmk, language:kmm, language:kmo, language:kmr, language:kms, language:kmu, language:kmy, language:knc, language:kne, language:knf, language:kng, language:knj, language:knk, language:kno, language:knv, language:knx, language:kny, language:kog, language:koi, language:koo, language:kor, language:kos, language:kpe, language:kpf, language:kpg, language:kpj, language:kpq, language:kpr, language:kpv, language:kpw, language:kpx, language:kpz, language:kqc, language:kqe, language:kqf, language:kql, language:kqn, language:kqo, language:kqp, language:kqs, language:kqw, language:kqy, language:krc, language:kri, language:krj, language:krl, language:kru, language:krx, language:ksb, language:ksc, language:ksd, language:ksf, language:ksh, language:ksj, language:ksp, language:ksr, language:kss, language:ksw, language:ktb, language:ktj, language:ktm, language:kto, language:ktu, language:ktz, language:kua, language:kub, language:kud, language:kue, language:kuj, language:kum, language:kup, language:kus, language:kvg, language:kvj, language:kvn, language:kwd, language:kwf, language:kwi, language:kwj, language:kwn, language:kwy, language:kxc, language:kxm, language:kxw, language:kyc, language:kyf, language:kyg, language:kyq, language:kyu, language:kyz, language:kze, language:kzf, language:kzj, language:lac, language:lad, language:lai, language:laj, language:lam, language:lao, language:lap, language:lat, language:lbb, language:lbe, language:lbj, language:lbk, language:lcm, language:lcp, language:ldi, language:ldn, language:lee, language:lef, language:leh, language:lem, language:leu, language:lew, language:lex, language:lez, language:lfn, language:lgg, language:lgl, language:lgm, language:lhi, language:lhu, language:lia, language:lid, language:lif, language:lij, language:lim, language:lin, language:lip, language:lis, language:lit, language:liv, language:ljp, language:lki, language:llb, language:lld, language:llg, language:lln, language:lmk, language:lmo, language:lmp, language:lnd, language:lob, language:loe, language:log, language:lok, language:lol, language:lom, language:loq, language:loz, language:lrc, language:lsi, language:lsm, language:ltg, language:ltz, language:lua, language:lub, language:luc, language:lud, language:lue, language:lug, language:lun, language:luo, language:lus, language:lvs, language:lwg, language:lwo, language:lww, language:lzh, language:maa, language:mad, language:maf, language:mag, language:mah, language:mai, language:maj, language:mak, language:mal, language:mam, language:maq, language:mar, language:mas, language:mau, language:mav, language:maw, language:maz, language:mbb, language:mbc, language:mbd, language:mbf, language:mbh, language:mbi, language:mbj, language:mbl, language:mbs, language:mbt, language:mca, language:mcb, language:mcd, language:mcf, language:mck, language:mcn, language:mco, language:mcp, language:mcq, language:mcu, language:mda, language:mdf, language:mdy, language:med, language:mee, language:mej, language:mek, language:men, language:meq, language:mer, language:met, language:meu, language:mev, language:mfe, language:mfg, language:mfh, language:mfi, language:mfk, language:mfq, language:mfy, language:mfz, language:mgc, language:mgh, language:mgo, language:mgr, language:mhi, language:mhl, language:mhr, language:mhw, language:mhx, language:mhy, language:mib, language:mic, language:mie, language:mif, language:mig, language:mih, language:mil, language:mim, language:min, language:mio, language:mip, language:miq, language:mir, language:mit, language:miy, language:miz, language:mjc, language:mjw, language:mkd, language:mkl, language:mkn, language:mks, language:mkz, language:mlh, language:mlp, language:mlt, language:mlu, language:mmn, language:mmo, language:mmx, language:mna, language:mnb, language:mnf, language:mni, language:mnk, language:mns, language:mnw, language:mnx, language:mny, language:moa, language:moc, language:mog, language:moh, language:mop, language:mor, language:mos, language:mox, language:mpg, language:mph, language:mpm, language:mpp, language:mps, language:mpt, language:mpx, language:mqb, language:mqj, language:mqy, language:mrg, language:mri, language:mrj, language:mrq, language:mrv, language:mrw, language:msb, language:msc, language:mse, language:msk, language:msy, language:mta, language:mtg, language:mti, language:mto, language:mtp, language:mua, language:mug, language:muh, language:mui, language:mup, language:mur, language:mus, language:mux, language:muy, language:mva, language:mvn, language:mvp, language:mwc, language:mwf, language:mwl, language:mwm, language:mwn, language:mwp, language:mwq, language:mwv, language:mww, language:mxb, language:mxp, language:mxq, language:mxt, language:mxv, language:mya, language:myb, language:myk, language:myu, language:myv, language:myw, language:myx, language:myy, language:mza, language:mzh, language:mzk, language:mzl, language:mzm, language:mzn, language:mzw, language:mzz, language:nab, language:naf, language:nah, language:nak, language:nan, language:nap, language:naq, language:nas, language:nav, language:naw, language:nba, language:nbc, language:nbe, language:nbl, language:nbq, language:nbu, language:nca, language:nch, language:ncj, language:ncl, language:ncq, language:nct, language:ncu, language:ncx, language:ndc, language:nde, language:ndh, language:ndi, language:ndj, language:ndo, language:nds, language:ndz, language:neb, language:new, language:nfa, language:nfr, language:ngb, language:ngc, language:ngl, language:ngp, language:ngu, language:nhd, language:nhe, language:nhg, language:nhi, language:nhk, language:nho, language:nhr, language:nhu, language:nhw, language:nhx, language:nhy, language:nia, language:nif, language:nii, language:nij, language:nim, language:nin, language:nio, language:niu, language:niy, language:njb, language:njm, language:njn, language:njo, language:njz, language:nkf, language:nko, language:nld, language:nlg, language:nma, language:nmf, language:nmh, language:nmo, language:nmw, language:nmz, language:nnb, language:nng, language:nnh, language:nnl, language:nno, language:nnp, language:nnq, language:nnw, language:noa, language:nob, language:nod, language:nog, language:non, language:nop, language:not, language:nou, language:nov, language:nph, language:npi, language:npl, language:npo, language:npy, language:nqo, language:nre, language:nrf, language:nri, language:nrm, language:nsa, language:nse, language:nsm, language:nsn, language:nso, language:nss, language:nst, language:nsu, language:ntp, language:ntr, language:ntu, language:nuj, language:nus, language:nuy, language:nvm, language:nwb, language:nwi, language:nwx, language:nxd, language:nya, language:nyf, language:nyk, language:nyn, language:nyo, language:nyu, language:nyy, language:nza, language:nzi, language:nzm, language:obo, language:oci, language:ogo, language:ojb, language:oke, language:oku, language:okv, language:old, language:olo, language:omb, language:omw, language:ong, language:ons, language:ood, language:opm, language:orv, language:ory, language:oss, language:ota, language:otd, language:ote, language:otm, language:otn, language:oto, language:otq, language:ots, language:otw, language:oym, language:ozm, language:pab, language:pad, language:pag, language:pah, language:pam, language:pan, language:pao, language:pap, language:pau, language:pbb, language:pbc, language:pbi, language:pbt, language:pcd, language:pck, language:pcm, language:pdc, language:pdt, language:pem, language:pfe, language:pfl, language:phm, language:pib, language:pio, language:pir, language:pis, language:pjt, language:pkb, language:plg, language:pls, language:plt, language:plu, language:plw, language:pma, language:pmf, language:pmq, language:pms, language:pmx, language:pnb, language:pne, language:pnt, language:pny, language:poe, language:poh, language:poi, language:pol, language:pon, language:por, language:pos, language:pot, language:pov, language:poy, language:ppk, language:ppo, language:pps, language:prf, language:prg, language:pri, language:prq, language:pse, language:pss, language:ptp, language:ptu, language:pui, language:pwg, language:pwn, language:pww, language:pxm, language:qub, language:quc, language:quf, language:qug, language:quh, language:qul, language:qup, language:qus, language:quw, language:quy, language:quz, language:qva, language:qvc, language:qve, language:qvh, language:qvi, language:qvm, language:qvn, language:qvo, language:qvs, language:qvw, language:qvz, language:qwh, language:qxh, language:qxl, language:qxn, language:qxo, language:qxr, language:rad, language:rai, language:rap, language:rar, language:rav, language:raw, language:rcf, language:rej, language:rel, language:rgu, language:rhg, language:ria, language:rim, language:rjs, language:rkb, language:rmc, language:rme, language:rml, language:rmn, language:rmo, language:rmq, language:rmy, language:rnd, language:rng, language:rnl, language:roh, language:ron, language:roo, language:rop, language:row, language:rro, language:rtm, language:rub, language:rue, language:ruf, language:rug, language:run, language:rup, language:rus, language:rwo, language:sab, language:sag, language:sah, language:san, language:sas, language:sat, language:sba, language:sbd, language:sbe, language:sbl, language:sbs, language:sby, language:sck, language:scn, language:sco, language:sda, language:sdc, language:sdh, language:sdo, language:sdq, language:seh, language:ses, language:sey, language:sfw, language:sgb, language:sgc, language:sgh, language:sgs, language:sgw, language:sgz, language:shi, language:shk, language:shn, language:shp, language:shu, language:sid, language:sig, language:sil, language:sim, language:sin, language:sja, language:sjo, language:sju, language:skg, language:skr, language:sld, language:slk, language:sll, language:slv, language:sma, language:sme, language:smj, language:smk, language:sml, language:smn, language:smo, language:sms, language:smt, language:sna, language:snc, language:snd, language:snf, language:snn, language:snp, language:snw, language:sny, language:soe, language:som, language:sop, language:soq, language:sot, language:soy, language:spa, language:spl, language:spm, language:spp, language:sps, language:spy, language:srd, language:sri, language:srm, language:srn, language:srp, language:srq, language:srr, language:ssd, language:ssg, language:ssw, language:ssx, language:stn, language:stp, language:stq, language:sua, language:suc, language:sue, language:suk, language:sun, language:sur, language:sus, language:suz, language:swb, language:swc, language:swe, language:swg, language:swh, language:swk, language:swp, language:sxb, language:sxn, language:syb, language:syc, language:syl, language:szl, language:szy, language:tab, language:tac, language:tah, language:taj, language:tam, language:tap, language:taq, language:tar, language:tat, language:tav, language:taw, language:tay, language:tbc, language:tbg, language:tbk, language:tbl, language:tbo, language:tbw, language:tby, language:tbz, language:tca, language:tcc, language:tcf, language:tcs, language:tcy, language:tcz, language:ted, language:tee, language:tel, language:tem, language:teo, language:ter, language:tet, language:tew, language:tfr, language:tgk, language:tgo, language:tgp, language:tha, language:thk, language:thl, language:tif, language:tig, language:tih, language:tik, language:tim, language:tir, language:tiv, language:tiy, language:tke, language:tkl, language:tkr, language:tku, language:tlb, language:tlf, language:tlh, language:tlj, language:tll, language:tly, language:tmc, language:tmd, language:tna, language:tnc, language:tnk, language:tnn, language:tnp, language:tnr, language:tob, language:toc, language:tod, language:tog, language:toh, language:toi, language:toj, language:tok, language:ton, language:too, language:top, language:tos, language:tpa, language:tpi, language:tpm, language:tpp, language:tpt, language:tpw, language:tpz, language:tqo, language:trc, language:trn, language:tro, language:trp, language:trq, language:trs, language:trv, language:tsc, language:tsg, language:tsn, language:tso, language:tsw, language:tsz, language:ttc, language:tte, language:ttj, language:ttq, language:tuc, language:tue, language:tuf, language:tui, language:tuk, language:tul, language:tum, language:tuo, language:tur, language:tuv, language:tvk, language:tvl, language:twi, language:twu, language:twx, language:txq, language:txu, language:tyv, language:tzh, language:tzj, language:tzl, language:tzm, language:tzo, language:ubr, language:ubu, language:udm, language:udu, language:uig, language:ukr, language:umb, language:upv, language:ura, language:urb, language:urd, language:urh, language:uri, language:urk, language:urt, language:urw, language:ury, language:usa, language:usp, language:uth, language:uvh, language:uvl, language:uzn, language:uzs, language:vag, language:vap, language:var, language:vec, language:ven, language:vep, language:vid, language:vie, language:viv, language:vls, language:vmk, language:vmw, language:vmy, language:vol, language:vot, language:vro, language:vun, language:vut, language:waj, language:wal, language:wap, language:war, language:wat, language:way, language:wba, language:wbm, language:wbp, language:wed, language:wer, language:wes, language:wew, language:whg, language:whk, language:wib, language:wim, language:wiu, language:wln, language:wls, language:wlv, language:wlx, language:wmt, language:wmw, language:wnc, language:wnu, language:wob, language:wol, language:wos, language:wrk, language:wrs, language:wsg, language:wsk, language:wuu, language:wuv, language:wwa, language:xal, language:xav, language:xbi, language:xbr, language:xed, language:xho, language:xla, language:xmf, language:xmm, language:xmv, language:xnn, language:xog, language:xon, language:xrb, language:xsb, language:xsi, language:xsm, language:xsr, language:xsu, language:xtd, language:xtm, language:xtn, language:xuo, language:yaa, language:yad, language:yal, language:yam, language:yan, language:yao, language:yap, language:yaq, language:yat, language:yaz, language:ybb, language:yby, language:ycn, language:ydd, language:yim, language:yka, language:yle, language:yli, language:yml, language:yom, language:yon, language:yor, language:yrb, language:yre, language:yrk, language:yrl, language:yss, language:yua, language:yue, language:yuj, language:yup, language:yut, language:yuw, language:yuz, language:yva, language:zaa, language:zab, language:zac, language:zad, language:zae, language:zai, language:zam, language:zao, language:zar, language:zas, language:zat, language:zav, language:zaw, language:zca, language:zdj, language:zea, language:zgh, language:zia, language:ziw, language:zne, language:zom, language:zos, language:zpa, language:zpc, language:zpg, language:zpi, language:zpj, language:zpl, language:zpm, language:zpo, language:zpq, language:zpt, language:zpu, language:zpv, language:zpz, language:zsm, language:zsr, language:ztq, language:zty, language:zul, language:zyb, language:zyp, license:odc-by, size_categories:1B<n<10B, modality:tabular, modality:text, arxiv:2506.20920, arxiv:2109.07445, arxiv:2406.17557, doi:10.57967/hf/3744, region:us
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community
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# Dataset: `HuggingFaceFW/fineweb-2`
## 📝 Metadata
- **Author/Owner:** HuggingFaceFW
- **Downloads:** 111209
- **Likes:** 676
- **Tags:** task_categories:text-generation, language:aai, language:aak, language:aau, language:aaz, language:aba, language:abi, language:abk, language:abn, language:abq, language:abs, language:abt, language:abx, language:aby, language:abz, language:aca, language:acd, language:ace, language:acf, language:ach, language:acm, language:acn, language:acr, language:acu, language:ada, language:ade, language:adh, language:adi, language:adj, language:adl, language:ady, language:adz, language:aeb, language:aer, language:aeu, language:aey, language:afr, language:agd, language:agg, language:agm, language:agn, language:agr, language:agt, language:agu, language:agw, language:agx, language:aha, language:ahk, language:aia, language:aii, language:aim, language:ain, language:ajg, language:aji, language:ajz, language:akb, language:ake, language:akh, language:akp, language:alj, language:aln, language:alp, language:alq, language:als, language:alt, language:aly, language:alz, language:ame, language:amf, 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language:ngb, language:ngc, language:ngl, language:ngp, language:ngu, language:nhd, language:nhe, language:nhg, language:nhi, language:nhk, language:nho, language:nhr, language:nhu, language:nhw, language:nhx, language:nhy, language:nia, language:nif, language:nii, language:nij, language:nim, language:nin, language:nio, language:niu, language:niy, language:njb, language:njm, language:njn, language:njo, language:njz, language:nkf, language:nko, language:nld, language:nlg, language:nma, language:nmf, language:nmh, language:nmo, language:nmw, language:nmz, language:nnb, language:nng, language:nnh, language:nnl, language:nno, language:nnp, language:nnq, language:nnw, language:noa, language:nob, language:nod, language:nog, language:non, language:nop, language:not, language:nou, language:nov, language:nph, language:npi, language:npl, language:npo, language:npy, language:nqo, language:nre, language:nrf, language:nri, language:nrm, language:nsa, language:nse, language:nsm, language:nsn, language:nso, language:nss, language:nst, language:nsu, language:ntp, language:ntr, language:ntu, language:nuj, language:nus, language:nuy, language:nvm, language:nwb, language:nwi, language:nwx, language:nxd, language:nya, language:nyf, language:nyk, language:nyn, language:nyo, language:nyu, language:nyy, language:nza, language:nzi, language:nzm, language:obo, language:oci, language:ogo, language:ojb, language:oke, language:oku, language:okv, language:old, language:olo, language:omb, language:omw, language:ong, language:ons, language:ood, language:opm, language:orv, language:ory, language:oss, language:ota, language:otd, language:ote, language:otm, language:otn, language:oto, language:otq, language:ots, language:otw, language:oym, language:ozm, language:pab, language:pad, language:pag, language:pah, language:pam, language:pan, language:pao, language:pap, language:pau, language:pbb, language:pbc, language:pbi, language:pbt, language:pcd, language:pck, language:pcm, language:pdc, language:pdt, language:pem, language:pfe, language:pfl, language:phm, language:pib, language:pio, language:pir, language:pis, language:pjt, language:pkb, language:plg, language:pls, language:plt, language:plu, language:plw, language:pma, language:pmf, language:pmq, language:pms, language:pmx, language:pnb, language:pne, language:pnt, language:pny, language:poe, language:poh, language:poi, language:pol, language:pon, language:por, language:pos, language:pot, language:pov, language:poy, language:ppk, language:ppo, language:pps, language:prf, language:prg, language:pri, language:prq, language:pse, language:pss, language:ptp, language:ptu, language:pui, language:pwg, language:pwn, language:pww, language:pxm, language:qub, language:quc, language:quf, language:qug, language:quh, language:qul, language:qup, language:qus, language:quw, language:quy, language:quz, language:qva, language:qvc, language:qve, language:qvh, language:qvi, language:qvm, language:qvn, language:qvo, language:qvs, language:qvw, language:qvz, language:qwh, language:qxh, language:qxl, language:qxn, language:qxo, language:qxr, language:rad, language:rai, language:rap, language:rar, language:rav, language:raw, language:rcf, language:rej, language:rel, language:rgu, language:rhg, language:ria, language:rim, language:rjs, language:rkb, language:rmc, language:rme, language:rml, language:rmn, language:rmo, language:rmq, language:rmy, language:rnd, language:rng, language:rnl, language:roh, language:ron, language:roo, language:rop, language:row, language:rro, language:rtm, language:rub, language:rue, language:ruf, language:rug, language:run, language:rup, language:rus, language:rwo, language:sab, language:sag, language:sah, language:san, language:sas, language:sat, language:sba, language:sbd, language:sbe, language:sbl, language:sbs, language:sby, language:sck, language:scn, language:sco, language:sda, language:sdc, language:sdh, language:sdo, language:sdq, language:seh, language:ses, language:sey, language:sfw, language:sgb, language:sgc, language:sgh, language:sgs, language:sgw, language:sgz, language:shi, language:shk, language:shn, language:shp, language:shu, language:sid, language:sig, language:sil, language:sim, language:sin, language:sja, language:sjo, language:sju, language:skg, language:skr, language:sld, language:slk, language:sll, language:slv, language:sma, language:sme, language:smj, language:smk, language:sml, language:smn, language:smo, language:sms, language:smt, language:sna, language:snc, language:snd, language:snf, language:snn, language:snp, language:snw, language:sny, language:soe, language:som, language:sop, language:soq, language:sot, language:soy, language:spa, language:spl, language:spm, language:spp, language:sps, language:spy, language:srd, language:sri, language:srm, language:srn, language:srp, language:srq, language:srr, language:ssd, language:ssg, language:ssw, language:ssx, language:stn, language:stp, language:stq, language:sua, language:suc, language:sue, language:suk, language:sun, language:sur, language:sus, language:suz, language:swb, language:swc, language:swe, language:swg, language:swh, language:swk, language:swp, language:sxb, language:sxn, language:syb, language:syc, language:syl, language:szl, language:szy, language:tab, language:tac, language:tah, language:taj, language:tam, language:tap, language:taq, language:tar, language:tat, language:tav, language:taw, language:tay, language:tbc, language:tbg, language:tbk, language:tbl, language:tbo, language:tbw, language:tby, language:tbz, language:tca, language:tcc, language:tcf, language:tcs, language:tcy, language:tcz, language:ted, language:tee, language:tel, language:tem, language:teo, language:ter, language:tet, language:tew, language:tfr, language:tgk, language:tgo, language:tgp, language:tha, language:thk, language:thl, language:tif, language:tig, language:tih, language:tik, language:tim, language:tir, language:tiv, language:tiy, language:tke, language:tkl, language:tkr, language:tku, language:tlb, language:tlf, language:tlh, language:tlj, language:tll, language:tly, language:tmc, language:tmd, language:tna, language:tnc, language:tnk, language:tnn, language:tnp, language:tnr, language:tob, language:toc, language:tod, language:tog, language:toh, language:toi, language:toj, language:tok, language:ton, language:too, language:top, language:tos, language:tpa, language:tpi, language:tpm, language:tpp, language:tpt, language:tpw, language:tpz, language:tqo, language:trc, language:trn, language:tro, language:trp, language:trq, language:trs, language:trv, language:tsc, language:tsg, language:tsn, language:tso, language:tsw, language:tsz, language:ttc, language:tte, language:ttj, language:ttq, language:tuc, language:tue, language:tuf, language:tui, language:tuk, language:tul, language:tum, language:tuo, language:tur, language:tuv, language:tvk, language:tvl, language:twi, language:twu, language:twx, language:txq, language:txu, language:tyv, language:tzh, language:tzj, language:tzl, language:tzm, language:tzo, language:ubr, language:ubu, language:udm, language:udu, language:uig, language:ukr, language:umb, language:upv, language:ura, language:urb, language:urd, language:urh, language:uri, language:urk, language:urt, language:urw, language:ury, language:usa, language:usp, language:uth, language:uvh, language:uvl, language:uzn, language:uzs, language:vag, language:vap, language:var, language:vec, language:ven, language:vep, language:vid, language:vie, language:viv, language:vls, language:vmk, language:vmw, language:vmy, language:vol, language:vot, language:vro, language:vun, language:vut, language:waj, language:wal, language:wap, language:war, language:wat, language:way, language:wba, language:wbm, language:wbp, language:wed, language:wer, language:wes, language:wew, language:whg, language:whk, language:wib, language:wim, language:wiu, language:wln, language:wls, language:wlv, language:wlx, language:wmt, language:wmw, language:wnc, language:wnu, language:wob, language:wol, language:wos, language:wrk, language:wrs, language:wsg, language:wsk, language:wuu, language:wuv, language:wwa, language:xal, language:xav, language:xbi, language:xbr, language:xed, language:xho, language:xla, language:xmf, language:xmm, language:xmv, language:xnn, language:xog, language:xon, language:xrb, language:xsb, language:xsi, language:xsm, language:xsr, language:xsu, language:xtd, language:xtm, language:xtn, language:xuo, language:yaa, language:yad, language:yal, language:yam, language:yan, language:yao, language:yap, language:yaq, language:yat, language:yaz, language:ybb, language:yby, language:ycn, language:ydd, language:yim, language:yka, language:yle, language:yli, language:yml, language:yom, language:yon, language:yor, language:yrb, language:yre, language:yrk, language:yrl, language:yss, language:yua, language:yue, language:yuj, language:yup, language:yut, language:yuw, language:yuz, language:yva, language:zaa, language:zab, language:zac, language:zad, language:zae, language:zai, language:zam, language:zao, language:zar, language:zas, language:zat, language:zav, language:zaw, language:zca, language:zdj, language:zea, language:zgh, language:zia, language:ziw, language:zne, language:zom, language:zos, language:zpa, language:zpc, language:zpg, language:zpi, language:zpj, language:zpl, language:zpm, language:zpo, language:zpq, language:zpt, language:zpu, language:zpv, language:zpz, language:zsm, language:zsr, language:ztq, language:zty, language:zul, language:zyb, language:zyp, license:odc-by, size_categories:1B<n<10B, modality:tabular, modality:text, arxiv:2506.20920, arxiv:2109.07445, arxiv:2406.17557, doi:10.57967/hf/3744, region:us
- **License:** Not specified
## 📖 Description
```text
🥂 FineWeb2
A sparkling update with 1000s of languages
What is it?
This is the second iteration of the popular 🍷 FineWeb dataset, bringing high quality pretraining data to over 1000 🗣️ languages.
The 🥂 FineWeb2 dataset is fully reproducible, available under the permissive ODC-By 1.0 license and extensively validated through hundreds of ablation experiments.
In particular, on the set of 9 diverse languages we used to guide our processing decisions, 🥂 FineWeb2… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/fineweb-2....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/aai_Latn/test/000_00000.parquet`
- `data/aai_Latn/train/000_00000.parquet`
- `data/aai_Latn_removed/train/000_00000.parquet`
- `data/aak_Latn/test/000_00000.parquet`
- `data/aak_Latn/train/000_00000.parquet`
- `data/aak_Latn_removed/train/000_00000.parquet`
- `data/aau_Latn/test/000_00000.parquet`
- `data/aau_Latn/train/000_00000.parquet`
- `data/aau_Latn_removed/train/000_00000.parquet`
- `data/aaz_Latn/test/000_00000.parquet`
- `data/aaz_Latn/train/000_00000.parquet`
- `data/aaz_Latn_removed/train/000_00000.parquet`
- `data/aba_Latn/test/000_00000.parquet`
- ... and more.
## 📊 Data Structure
### Config: `aai_Latn`
#### Split: `test`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `language_script` | `str` |
| `minhash_cluster_size` | `int` |
| `top_langs` | `str` |
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `language_script` | `str` |
| `minhash_cluster_size` | `int` |
| `top_langs` | `str` |
### Config: `aak_Latn`
#### Split: `test`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `language_script` | `str` |
| `minhash_cluster_size` | `int` |
| `top_langs` | `str` |
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `language_script` | `str` |
| `minhash_cluster_size` | `int` |
| `top_langs` | `str` |
### Config: `aau_Latn`
#### Split: `test`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `language_script` | `str` |
| `minhash_cluster_size` | `int` |
| `top_langs` | `str` |
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `language` | `str` |
| `language_score` | `float` |
| `language_script` | `str` |
| `minhash_cluster_size` | `int` |
| `top_langs` | `str` |
|
BAAI/Infinity-Instruct
|
BAAI
|
task_categories:text-generation, language:en, language:zh, license:cc-by-sa-4.0, size_categories:10M<n<100M, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2506.11116, arxiv:2402.00530, arxiv:2405.19327, arxiv:2409.07045, arxiv:2408.07089, region:us
|
community
|
# Dataset: `BAAI/Infinity-Instruct`
## 📝 Metadata
- **Author/Owner:** BAAI
- **Downloads:** 2768
- **Likes:** 670
- **Tags:** task_categories:text-generation, language:en, language:zh, license:cc-by-sa-4.0, size_categories:10M<n<100M, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2506.11116, arxiv:2402.00530, arxiv:2405.19327, arxiv:2409.07045, arxiv:2408.07089, region:us
- **License:** Not specified
## 📖 Description
```text
Infinity Instruct
Beijing Academy of Artificial Intelligence (BAAI)
[Paper][Code][🤗]
The quality and scale of instruction data are crucial for model performance. Recently, open-source models have increasingly relied on fine-tuning datasets comprising millions of instances, necessitating both high quality and large scale. However, the open-source community has long been constrained by the high costs associated with building such extensive and high-quality instruction… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/Infinity-Instruct....
```
## 📂 File System Sample
- `.gitattributes`
- `0625/train-00000-of-00007.parquet`
- `0625/train-00001-of-00007.parquet`
- `0625/train-00002-of-00007.parquet`
- `0625/train-00003-of-00007.parquet`
- `0625/train-00004-of-00007.parquet`
- `0625/train-00005-of-00007.parquet`
- `0625/train-00006-of-00007.parquet`
- `3M/train-00000-of-00035.parquet`
- `3M/train-00001-of-00035.parquet`
- `3M/train-00002-of-00035.parquet`
- `3M/train-00003-of-00035.parquet`
- `3M/train-00004-of-00035.parquet`
- `3M/train-00005-of-00035.parquet`
- `3M/train-00006-of-00035.parquet`
- ... and more.
## 📊 Data Structure
**Graceful Failure:**
```
Could not inspect the dataset's structure.
This is common for complex datasets that require executing remote code, which is disabled for stability.
Details: Dataset 'BAAI/Infinity-Instruct' is a gated dataset on the Hub. Visit the dataset page at https://huggingface.co/datasets/BAAI/Infinity-Instruct to ask for access.
```
|
open-r1/OpenR1-Math-220k
|
open-r1
|
language:en, license:apache-2.0, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, region:us
|
community
|
# Dataset: `open-r1/OpenR1-Math-220k`
## 📝 Metadata
- **Author/Owner:** open-r1
- **Downloads:** 7609
- **Likes:** 658
- **Tags:** language:en, license:apache-2.0, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, region:us
- **License:** Not specified
## 📖 Description
```text
OpenR1-Math-220k
Dataset description
OpenR1-Math-220k is a large-scale dataset for mathematical reasoning. It consists of 220k math problems with two to four reasoning traces generated by DeepSeek R1 for problems from NuminaMath 1.5.
The traces were verified using Math Verify for most samples and Llama-3.3-70B-Instruct as a judge for 12% of the samples, and each problem contains at least one reasoning trace with a correct answer.
The dataset consists of two splits:… See the full description on the dataset page: https://huggingface.co/datasets/open-r1/OpenR1-Math-220k....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `all/default-00000-of-00010.parquet`
- `all/default-00001-of-00010.parquet`
- `all/default-00002-of-00010.parquet`
- `all/default-00003-of-00010.parquet`
- `all/default-00004-of-00010.parquet`
- `all/default-00005-of-00010.parquet`
- `all/default-00006-of-00010.parquet`
- `all/default-00007-of-00010.parquet`
- `all/default-00008-of-00010.parquet`
- `all/default-00009-of-00010.parquet`
- `all/extended-00000-of-00010.parquet`
- `all/extended-00001-of-00010.parquet`
- `all/extended-00002-of-00010.parquet`
- ... and more.
## 📊 Data Structure
### Config: `all`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `problem` | `str` |
| `solution` | `str` |
| `answer` | `str` |
| `problem_type` | `str` |
| `question_type` | `str` |
| `source` | `str` |
| `uuid` | `str` |
| `is_reasoning_complete` | `list` |
| `generations` | `list` |
| `correctness_math_verify` | `list` |
| `correctness_llama` | `list` |
| `finish_reasons` | `NoneType` |
| `correctness_count` | `int` |
| `messages` | `list` |
### Config: `default`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `problem` | `str` |
| `solution` | `str` |
| `answer` | `str` |
| `problem_type` | `str` |
| `question_type` | `str` |
| `source` | `str` |
| `uuid` | `str` |
| `is_reasoning_complete` | `list` |
| `generations` | `list` |
| `correctness_math_verify` | `list` |
| `correctness_llama` | `NoneType` |
| `finish_reasons` | `NoneType` |
| `correctness_count` | `int` |
| `messages` | `list` |
### Config: `extended`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `problem` | `str` |
| `solution` | `str` |
| `answer` | `str` |
| `problem_type` | `str` |
| `question_type` | `str` |
| `source` | `str` |
| `uuid` | `str` |
| `is_reasoning_complete` | `list` |
| `generations` | `list` |
| `correctness_math_verify` | `list` |
| `correctness_llama` | `NoneType` |
| `finish_reasons` | `NoneType` |
| `correctness_count` | `int` |
| `messages` | `list` |
|
m-a-p/COIG-CQIA
|
m-a-p
|
task_categories:question-answering, task_categories:text-classification, task_categories:text-generation, language:zh, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2403.18058, arxiv:2304.07987, arxiv:2307.09705, region:us
|
community
|
# Dataset: `m-a-p/COIG-CQIA`
## 📝 Metadata
- **Author/Owner:** m-a-p
- **Downloads:** 4198
- **Likes:** 654
- **Tags:** task_categories:question-answering, task_categories:text-classification, task_categories:text-generation, language:zh, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2403.18058, arxiv:2304.07987, arxiv:2307.09705, region:us
- **License:** Not specified
## 📖 Description
```text
COIG-CQIA：Quality is All you need for Chinese Instruction Fine-tuning
Dataset Details
Dataset Description
欢迎来到COIG-CQIA，COIG-CQIA全称为Chinese Open Instruction Generalist - Quality is All You Need， 是一个开源的高质量指令微调数据集，旨在为中文NLP社区提供高质量且符合人类交互行为的指令微调数据。COIG-CQIA以中文互联网获取到的问答及文章作为原始数据，经过深度清洗、重构及人工审核构建而成。本项目受LIMA: Less Is More for Alignment等研究启发，使用少量高质量的数据即可让大语言模型学习到人类交互行为，因此在数据构建中我们十分注重数据的来源、质量与多样性，数据集详情请见数据介绍以及我们接下来的论文。
Welcome to the COIG-CQIA… See the full description on the dataset page: https://huggingface.co/datasets/m-a-p/COIG-CQIA....
```
## 📂 File System Sample
- `.gitattributes`
- `COIG-CQIA-full.jsonl`
- `README.md`
- `Yi_logo.svg`
- `chinese_traditional/chengyu.jsonl`
- `chinese_traditional/poem.jsonl`
- `chinese_traditional/trad-multi-choice-100-2.jsonl`
- `chinese_traditional/trad-multi-choice-100.jsonl`
- `chinese_traditional/trad-multi-choice-40.jsonl`
- `chinese_traditional/translate_classical_chinese.jsonl`
- `coig_pc/coig_pc_core_sample.jsonl`
- `douban/book_introduce.jsonl`
- `douban/book_reviews.jsonl`
- `douban/movie_anime_synopsis_more_prompt.jsonl`
- `douban/movie_documentary_synopsis_more_prompt.jsonl`
- ... and more.
## 📊 Data Structure
### Config: `chinese_traditional`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `instruction` | `str` |
| `input` | `str` |
| `output` | `str` |
| `task_type` | `dict` |
| `domain` | `list` |
| `metadata` | `str` |
| `answer_from` | `str` |
| `human_verified` | `bool` |
| `copyright` | `str` |
### Config: `coig_pc`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `instruction` | `str` |
| `input` | `str` |
| `output` | `str` |
| `task_type` | `dict` |
| `domain` | `list` |
| `metadata` | `str` |
| `answer_from` | `str` |
| `human_verified` | `bool` |
| `copyright` | `str` |
### Config: `exam`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `instruction` | `str` |
| `input` | `str` |
| `output` | `str` |
| `task_type` | `dict` |
| `domain` | `list` |
| `metadata` | `str` |
| `answer_from` | `str` |
| `human_verified` | `bool` |
| `copyright` | `str` |
|
HuggingFaceTB/cosmopedia
|
HuggingFaceTB
|
language:en, license:apache-2.0, size_categories:10M<n<100M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2309.05463, arxiv:2306.11644, region:us, synthetic
|
community
|
# Dataset: `HuggingFaceTB/cosmopedia`
## 📝 Metadata
- **Author/Owner:** HuggingFaceTB
- **Downloads:** 38381
- **Likes:** 642
- **Tags:** language:en, license:apache-2.0, size_categories:10M<n<100M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2309.05463, arxiv:2306.11644, region:us, synthetic
- **License:** Not specified
## 📖 Description
```text
Cosmopedia v0.1
Image generated by DALL-E, the prompt was generated by Mixtral-8x7B-Instruct-v0.1
Note: Cosmopedia v0.2 is available at smollm-corpus
User: What do you think "Cosmopedia" could mean? Hint: in our case it's not related to cosmology.
Mixtral-8x7B-Instruct-v0.1: A possible meaning for "Cosmopedia" could be an encyclopedia or collection of information about
different cultures, societies, and topics from around the world, emphasizing diversity and global… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceTB/cosmopedia....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/auto_math_text/train-00000-of-00018.parquet`
- `data/auto_math_text/train-00001-of-00018.parquet`
- `data/auto_math_text/train-00002-of-00018.parquet`
- `data/auto_math_text/train-00003-of-00018.parquet`
- `data/auto_math_text/train-00004-of-00018.parquet`
- `data/auto_math_text/train-00005-of-00018.parquet`
- `data/auto_math_text/train-00006-of-00018.parquet`
- `data/auto_math_text/train-00007-of-00018.parquet`
- `data/auto_math_text/train-00008-of-00018.parquet`
- `data/auto_math_text/train-00009-of-00018.parquet`
- `data/auto_math_text/train-00010-of-00018.parquet`
- `data/auto_math_text/train-00011-of-00018.parquet`
- `data/auto_math_text/train-00012-of-00018.parquet`
- ... and more.
## 📊 Data Structure
### Config: `auto_math_text`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `prompt` | `str` |
| `text_token_length` | `int` |
| `text` | `str` |
| `seed_data` | `str` |
| `format` | `str` |
| `audience` | `str` |
### Config: `khanacademy`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `prompt` | `str` |
| `text_token_length` | `int` |
| `text` | `str` |
| `seed_data` | `str` |
| `format` | `str` |
| `audience` | `str` |
### Config: `openstax`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text_token_length` | `int` |
| `prompt` | `str` |
| `text` | `str` |
| `seed_data` | `str` |
| `format` | `str` |
| `audience` | `str` |
|
proj-persona/PersonaHub
|
proj-persona
|
task_categories:text-generation, task_categories:text-classification, task_categories:token-classification, task_categories:fill-mask, task_categories:table-question-answering, language:en, language:zh, license:cc-by-nc-sa-4.0, size_categories:100K<n<1M, format:json, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2406.20094, region:us, synthetic, text, math, reasoning, instruction, tool, persona
|
community
|
# Dataset: `proj-persona/PersonaHub`
## 📝 Metadata
- **Author/Owner:** proj-persona
- **Downloads:** 12820
- **Likes:** 642
- **Tags:** task_categories:text-generation, task_categories:text-classification, task_categories:token-classification, task_categories:fill-mask, task_categories:table-question-answering, language:en, language:zh, license:cc-by-nc-sa-4.0, size_categories:100K<n<1M, format:json, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2406.20094, region:us, synthetic, text, math, reasoning, instruction, tool, persona
- **License:** Not specified
## 📖 Description
```text
Scaling Synthetic Data Creation with 1,000,000,000 Personas
This repo releases data introduced in our paper Scaling Synthetic Data Creation with 1,000,000,000 Personas:
We propose a novel persona-driven data synthesis methodology that leverages various perspectives within a large language model (LLM) to create diverse synthetic data. To fully exploit this methodology at scale, we introduce PERSONA HUB – a collection of 1 billion diverse personas automatically curated from web data.… See the full description on the dataset page: https://huggingface.co/datasets/proj-persona/PersonaHub....
```
## 📂 File System Sample
- `.gitattributes`
- `ElitePersonas/elite_personas.part1.jsonl`
- `ElitePersonas/elite_personas.part10.jsonl`
- `ElitePersonas/elite_personas.part11.jsonl`
- `ElitePersonas/elite_personas.part12.jsonl`
- `ElitePersonas/elite_personas.part13.jsonl`
- `ElitePersonas/elite_personas.part14.jsonl`
- `ElitePersonas/elite_personas.part15.jsonl`
- `ElitePersonas/elite_personas.part16.jsonl`
- `ElitePersonas/elite_personas.part17.jsonl`
- `ElitePersonas/elite_personas.part18.jsonl`
- `ElitePersonas/elite_personas.part19.jsonl`
- `ElitePersonas/elite_personas.part2.jsonl`
- `ElitePersonas/elite_personas.part3.jsonl`
- `ElitePersonas/elite_personas.part4.jsonl`
- ... and more.
## 📊 Data Structure
### Config: `math`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `input persona` | `str` |
| `synthesized text` | `str` |
| `description` | `str` |
### Config: `instruction`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `input persona` | `str` |
| `synthesized text` | `str` |
| `description` | `str` |
### Config: `reasoning`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `input persona` | `str` |
| `synthesized text` | `str` |
| `description` | `str` |
|
HuggingFaceFW/finepdfs
|
HuggingFaceFW
|
task_categories:text-generation, language:aai, language:aak, language:aau, language:aaz, language:aba, language:abi, language:abk, language:abn, language:abq, language:abs, language:abt, language:abx, language:aby, language:abz, language:aca, language:acd, language:ace, language:acf, language:ach, language:acm, language:acn, language:acr, language:acu, language:ada, language:ade, language:adh, language:adi, language:adj, language:adl, language:ady, language:adz, language:aeb, language:aer, language:aeu, language:aey, language:afr, language:agd, language:agg, language:agm, language:agn, language:agr, language:agt, language:agu, language:agw, language:agx, language:aha, language:ahk, language:aia, language:aii, language:aim, language:ain, language:ajg, language:aji, language:ajz, language:akb, language:ake, language:akh, language:akp, language:alj, language:aln, language:alp, language:alq, language:als, language:alt, language:aly, language:alz, language:ame, language:amf, language:amh, language:ami, language:amk, language:amm, language:amn, language:amp, language:amr, language:amu, language:amx, language:ang, language:anm, language:ann, language:anp, language:anv, language:any, language:aoi, language:aoj, language:aom, language:aoz, language:apb, language:apc, language:ape, language:apn, language:apr, language:apt, language:apu, language:apw, language:apy, language:apz, language:arb, language:are, language:arg, language:arl, language:arn, language:arp, language:arq, language:ars, language:ary, language:arz, language:asg, language:asm, language:aso, language:ast, language:ata, language:atb, language:atd, language:atg, language:ati, language:atj, language:atq, language:att, language:auc, language:aui, language:auy, language:ava, language:avk, language:avn, language:avt, language:avu, language:awa, language:awb, language:awx, language:ayo, language:ayp, language:ayr, language:azb, language:azg, language:azj, language:azz, language:bak, language:bam, language:ban, language:bao, language:bar, language:bas, language:bav, language:bba, language:bbb, language:bbc, language:bbj, language:bbk, language:bbo, language:bbr, language:bch, language:bci, language:bcl, language:bco, language:bcw, language:bdd, language:bdh, language:bdq, language:bea, language:bef, language:bel, language:bem, language:ben, language:beq, language:bew, language:bex, language:bfd, language:bfo, language:bgr, language:bgs, language:bgt, language:bgz, language:bhg, language:bhl, language:bho, language:bhp, language:bhw, language:bhz, language:bib, language:big, language:bim, language:bin, language:bis, language:biu, language:biv, language:bjn, language:bjp, language:bjr, language:bjv, language:bkd, language:bkl, language:bkq, language:bku, language:bkv, language:bla, language:blh, language:blk, language:blw, language:blz, language:bmh, language:bmk, language:bmq, language:bmr, language:bmu, language:bmv, language:bno, language:bnp, language:boa, language:bod, language:boj, language:bom, language:bon, language:bos, language:bov, language:box, language:bpr, language:bps, language:bpy, language:bqc, language:bqj, language:bqp, language:bre, language:brh, language:bru, language:brx, language:bsc, language:bsn, language:bsp, language:bsq, language:bss, language:btd, language:bth, language:bts, language:btt, language:btx, language:bud, language:bug, language:buk, language:bul, language:bum, language:bus, language:bvc, language:bvd, language:bvr, language:bvz, language:bwd, language:bwi, language:bwq, language:bwu, language:bxh, language:bxr, language:byr, language:byv, language:byx, language:bzd, language:bzh, language:bzi, language:bzj, language:caa, language:cab, language:cac, language:caf, language:cag, language:cak, language:cao, language:cap, language:caq, language:car, language:cas, language:cat, language:cav, language:cax, language:cbc, language:cbi, language:cbk, language:cbr, language:cbs, language:cbt, language:cbu, language:cbv, language:cce, language:cco, language:ccp, language:ceb, language:ceg, language:cek, language:ces, language:cfm, language:cgc, language:cgg, language:cha, language:chd, language:che, language:chf, language:chj, language:chk, language:cho, language:chq, language:chr, language:chu, language:chv, language:chw, language:chz, language:cjk, language:cjo, language:cjp, language:cjs, language:cjv, language:ckb, language:cko, language:ckt, language:cle, language:clu, language:cly, language:cme, language:cmn, language:cmo, language:cmr, language:cnh, language:cni, language:cnk, language:cnl, language:cnt, language:cnw, language:coe, language:cof, language:cok, language:con, language:cop, language:cor, language:cos, language:cot, language:cou, language:cpa, language:cpb, language:cpc, language:cpu, language:cpy, language:crh, language:crj, language:crk, language:crl, language:crm, language:crn, language:crs, language:crt, language:crx, language:csb, language:csk, language:cso, language:csw, language:csy, language:cta, language:ctd, language:cto, language:ctp, language:ctu, language:cub, language:cuc, language:cui, language:cuk, language:cul, language:cut, language:cux, language:cwe, language:cwt, language:cya, language:cym, language:czt, language:daa, language:dad, language:daf, language:dag, language:dah, language:dak, language:dan, language:dar, language:ddg, language:ddn, language:ded, language:des, language:deu, language:dga, language:dgc, language:dgi, language:dgr, language:dgz, language:dhg, language:dhm, language:dhv, language:did, language:dig, language:dik, language:diq, language:dis, language:diu, language:div, language:dje, language:djk, language:djr, language:dks, language:dln, language:dng, language:dnj, language:dnw, language:dob, language:doi, language:dop, language:dos, language:dow, language:drg, language:dru, language:dsb, language:dtb, language:dtp, language:dts, language:dty, language:dua, language:due, language:dug, language:duo, language:dur, language:dwr, language:dww, language:dyi, language:dyo, language:dyu, language:dzo, language:ebk, language:efi, language:eka, language:ekk, language:eko, language:ell, language:emi, language:eml, language:emp, language:enb, language:enl, language:enm, language:enq, language:enx, language:epo, language:eri, language:ese, language:esi, language:esk, language:ess, language:esu, language:eto, language:etr, language:etu, language:eus, language:eve, language:ewe, language:ewo, language:ext, language:eza, language:faa, language:fad, language:fai, language:fal, language:fan, language:fao, language:far, language:fas, language:fat, language:ffm, language:fij, language:fil, language:fin, language:fit, language:fkv, language:fmu, language:fon, language:for, language:fra, language:frd, language:fro, language:frp, language:frr, language:fry, language:fub, language:fud, language:fue, language:fuf, language:fuh, language:fuq, language:fur, language:fuv, language:gaa, language:gag, language:gah, language:gai, language:gam, language:gaw, language:gaz, language:gbi, language:gbo, language:gbr, language:gcf, language:gcr, language:gde, language:gdg, language:gdn, language:gdr, language:geb, language:gej, language:gfk, language:ghs, language:gid, language:gil, language:giz, language:gjn, language:gkn, language:gla, language:gle, language:glg, language:glk, language:glv, language:gmh, language:gmv, language:gna, language:gnb, language:gnd, language:gng, language:gnn, language:gnw, language:goa, language:gof, language:gog, language:goh, language:gom, language:gor, language:gos, language:got, language:gqr, language:grc, language:grt, language:gso, language:gsw, language:gub, language:guc, language:gud, language:gug, language:guh, language:gui, language:guj, language:guk, language:gul, language:gum, language:gun, language:guo, language:guq, language:gur, language:guu, language:guw, language:gux, language:guz, language:gvc, language:gvf, language:gvl, language:gvn, language:gwi, language:gwr, language:gya, language:gym, language:gyr, language:hac, language:hae, language:hag, language:hak, language:hat, language:hav, language:haw, language:hay, language:hbo, language:hch, language:heb, language:heg, language:heh, language:her, language:hif, language:hig, language:hil, language:hin, language:hix, language:hla, language:hmo, language:hmr, language:hne, language:hnj, language:hnn, language:hns, language:hop, language:hot, language:hra, language:hrv, language:hrx, language:hsb, language:hto, language:hub, language:hui, language:hun, language:hus, language:huu, language:huv, language:hvn, language:hwc, language:hye, language:hyw, language:ian, language:iba, language:ibg, language:ibo, language:icr, language:ido, language:idu, language:ifa, language:ifb, language:ife, language:ifk, language:ifu, language:ify, language:ige, language:ign, language:ike, language:ikk, language:ikt, language:ikw, language:ilb, language:ile, language:ilo, language:imo, language:ina, language:inb, language:ind, language:inh, language:ino, language:iou, language:ipi, language:iqw, language:iri, language:irk, language:iry, language:isd, language:ish, language:isl, language:iso, language:ita, language:itv, language:ium, language:ivb, language:ivv, language:iws, language:ixl, language:izr, language:izz, language:jaa, language:jac, language:jae, language:jam, language:jav, language:jbo, language:jbu, language:jic, language:jiv, language:jmc, language:jpn, language:jra, language:jun, language:jvn, language:kaa, language:kab, language:kac, language:kak, language:kal, language:kam, language:kan, language:kao, language:kaq, language:kas, language:kat, language:kaz, language:kbc, language:kbd, language:kbh, language:kbm, language:kbo, language:kbp, language:kbq, language:kbr, language:kby, language:kca, language:kcg, language:kck, language:kdc, language:kde, language:kdh, language:kdi, language:kdj, language:kdl, language:kdr, language:kea, language:kei, language:kek, language:ken, language:keo, language:ker, language:kew, language:kez, language:kff, language:kgf, language:kgk, language:kgp, language:kgr, language:kha, language:khk, language:khm, language:khs, language:khz, language:kia, language:kij, language:kik, language:kin, language:kir, language:kiu, language:kix, language:kjb, language:kje, language:kjh, language:kjs, language:kkc, language:kki, language:kkj, language:kkl, language:kle, language:klt, language:klv, language:kmb, language:kmg, language:kmh, language:kmk, language:kmm, language:kmo, language:kmr, language:kms, language:kmu, language:kmy, language:knc, language:kne, language:knf, language:kng, language:knj, language:knk, language:kno, language:knv, language:knx, language:kny, language:kog, language:koi, language:koo, language:kor, language:kos, language:kpe, language:kpf, language:kpg, language:kpj, language:kpq, language:kpr, language:kpv, language:kpw, language:kpx, language:kpz, language:kqc, language:kqe, language:kqf, language:kql, language:kqn, language:kqo, language:kqp, language:kqs, language:kqw, language:kqy, language:krc, language:kri, language:krj, language:krl, language:kru, language:krx, language:ksb, language:ksc, language:ksd, language:ksf, language:ksh, language:ksj, language:ksp, language:ksr, language:kss, language:ksw, language:ktb, language:ktj, language:ktm, language:kto, language:ktu, language:ktz, language:kua, language:kub, language:kud, language:kue, language:kuj, language:kum, language:kup, language:kus, language:kvg, language:kvj, language:kvn, language:kwd, language:kwf, language:kwi, language:kwj, language:kwn, language:kwy, language:kxc, language:kxm, language:kxw, language:kyc, language:kyf, language:kyg, language:kyq, language:kyu, language:kyz, language:kze, language:kzf, language:kzj, language:lac, language:lad, language:lai, language:laj, language:lam, language:lao, language:lap, language:lat, language:lbb, language:lbe, language:lbj, language:lbk, language:lcm, language:lcp, language:ldi, language:ldn, language:lee, language:lef, language:leh, language:lem, language:leu, language:lew, language:lex, language:lez, language:lfn, language:lgg, language:lgl, language:lgm, language:lhi, language:lhu, language:lia, language:lid, language:lif, language:lij, language:lim, language:lin, language:lip, language:lis, language:lit, language:liv, language:ljp, language:lki, language:llb, language:lld, language:llg, language:lln, language:lmk, language:lmo, language:lmp, language:lnd, language:lob, language:loe, language:log, language:lok, language:lol, language:lom, language:loq, language:loz, language:lrc, language:lsi, language:lsm, language:ltg, language:ltz, language:lua, language:lub, language:luc, language:lud, language:lue, language:lug, language:lun, language:luo, language:lus, language:lvs, language:lwg, language:lwo, language:lww, language:lzh, language:maa, language:mad, language:maf, language:mag, language:mah, language:mai, language:maj, language:mak, language:mal, language:mam, language:maq, language:mar, language:mas, language:mau, language:mav, language:maw, language:maz, language:mbb, language:mbc, language:mbd, language:mbf, language:mbh, language:mbi, language:mbj, language:mbl, language:mbs, language:mbt, language:mca, language:mcb, language:mcd, language:mcf, language:mck, language:mcn, language:mco, language:mcp, language:mcq, language:mcu, language:mda, language:mdf, language:mdy, language:med, language:mee, language:mej, language:mek, language:men, language:meq, language:mer, language:met, language:meu, language:mev, language:mfe, language:mfg, language:mfh, language:mfi, language:mfk, language:mfq, language:mfy, language:mfz, language:mgc, language:mgh, language:mgo, language:mgr, language:mhi, language:mhl, language:mhr, language:mhw, language:mhx, language:mhy, language:mib, language:mic, language:mie, language:mif, language:mig, language:mih, language:mil, language:mim, language:min, language:mio, language:mip, 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language:zae, language:zai, language:zam, language:zao, language:zar, language:zas, language:zat, language:zav, language:zaw, language:zca, language:zdj, language:zea, language:zgh, language:zia, language:ziw, language:zne, language:zom, language:zos, language:zpa, language:zpc, language:zpg, language:zpi, language:zpj, language:zpl, language:zpm, language:zpo, language:zpq, language:zpt, language:zpu, language:zpv, language:zpz, language:zsm, language:zsr, language:ztq, language:zty, language:zul, language:zyb, language:zyp, license:odc-by, size_categories:100M<n<1B, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2506.18421, arxiv:2109.07445, region:us
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# Dataset: `HuggingFaceFW/finepdfs`
## 📝 Metadata
- **Author/Owner:** HuggingFaceFW
- **Downloads:** 47698
- **Likes:** 633
- **Tags:** task_categories:text-generation, language:aai, language:aak, language:aau, language:aaz, language:aba, language:abi, language:abk, language:abn, language:abq, language:abs, language:abt, language:abx, language:aby, language:abz, language:aca, language:acd, language:ace, language:acf, language:ach, language:acm, language:acn, language:acr, language:acu, language:ada, language:ade, language:adh, language:adi, language:adj, language:adl, language:ady, language:adz, language:aeb, language:aer, language:aeu, language:aey, language:afr, language:agd, language:agg, language:agm, language:agn, language:agr, language:agt, language:agu, language:agw, language:agx, language:aha, language:ahk, language:aia, language:aii, language:aim, language:ain, language:ajg, language:aji, language:ajz, language:akb, language:ake, language:akh, language:akp, language:alj, language:aln, language:alp, language:alq, language:als, language:alt, language:aly, language:alz, language:ame, language:amf, language:amh, language:ami, language:amk, language:amm, language:amn, language:amp, language:amr, language:amu, language:amx, language:ang, language:anm, language:ann, language:anp, language:anv, language:any, language:aoi, language:aoj, language:aom, language:aoz, language:apb, language:apc, language:ape, language:apn, language:apr, language:apt, language:apu, language:apw, language:apy, language:apz, language:arb, language:are, language:arg, language:arl, language:arn, language:arp, language:arq, language:ars, language:ary, language:arz, language:asg, language:asm, language:aso, language:ast, language:ata, language:atb, language:atd, language:atg, language:ati, language:atj, language:atq, language:att, language:auc, language:aui, language:auy, language:ava, language:avk, language:avn, language:avt, language:avu, language:awa, language:awb, language:awx, language:ayo, language:ayp, language:ayr, language:azb, language:azg, language:azj, language:azz, language:bak, language:bam, 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language:inb, language:ind, language:inh, language:ino, language:iou, language:ipi, language:iqw, language:iri, language:irk, language:iry, language:isd, language:ish, language:isl, language:iso, language:ita, language:itv, language:ium, language:ivb, language:ivv, language:iws, language:ixl, language:izr, language:izz, language:jaa, language:jac, language:jae, language:jam, language:jav, language:jbo, language:jbu, language:jic, language:jiv, language:jmc, language:jpn, language:jra, language:jun, language:jvn, language:kaa, language:kab, language:kac, language:kak, language:kal, language:kam, language:kan, language:kao, language:kaq, language:kas, language:kat, language:kaz, language:kbc, language:kbd, language:kbh, language:kbm, language:kbo, language:kbp, language:kbq, language:kbr, language:kby, language:kca, language:kcg, language:kck, language:kdc, language:kde, language:kdh, language:kdi, language:kdj, language:kdl, language:kdr, language:kea, language:kei, language:kek, language:ken, language:keo, language:ker, language:kew, language:kez, language:kff, language:kgf, language:kgk, language:kgp, language:kgr, language:kha, language:khk, language:khm, language:khs, language:khz, language:kia, language:kij, language:kik, language:kin, language:kir, language:kiu, language:kix, language:kjb, language:kje, language:kjh, language:kjs, language:kkc, language:kki, language:kkj, language:kkl, language:kle, language:klt, language:klv, language:kmb, language:kmg, language:kmh, language:kmk, language:kmm, language:kmo, language:kmr, language:kms, language:kmu, language:kmy, language:knc, language:kne, language:knf, language:kng, language:knj, language:knk, language:kno, language:knv, language:knx, language:kny, language:kog, language:koi, language:koo, language:kor, language:kos, language:kpe, language:kpf, language:kpg, language:kpj, language:kpq, language:kpr, language:kpv, language:kpw, language:kpx, language:kpz, language:kqc, language:kqe, language:kqf, language:kql, language:kqn, language:kqo, language:kqp, language:kqs, language:kqw, language:kqy, language:krc, language:kri, language:krj, language:krl, language:kru, language:krx, language:ksb, language:ksc, language:ksd, language:ksf, language:ksh, language:ksj, language:ksp, language:ksr, language:kss, language:ksw, language:ktb, language:ktj, language:ktm, language:kto, language:ktu, language:ktz, language:kua, language:kub, language:kud, language:kue, language:kuj, language:kum, language:kup, language:kus, language:kvg, language:kvj, language:kvn, language:kwd, language:kwf, language:kwi, language:kwj, language:kwn, language:kwy, language:kxc, language:kxm, language:kxw, language:kyc, language:kyf, language:kyg, language:kyq, language:kyu, language:kyz, language:kze, language:kzf, language:kzj, language:lac, language:lad, language:lai, language:laj, language:lam, language:lao, language:lap, language:lat, language:lbb, language:lbe, language:lbj, language:lbk, language:lcm, language:lcp, language:ldi, language:ldn, language:lee, language:lef, language:leh, language:lem, language:leu, language:lew, language:lex, language:lez, language:lfn, language:lgg, language:lgl, language:lgm, language:lhi, language:lhu, language:lia, language:lid, language:lif, language:lij, language:lim, language:lin, language:lip, language:lis, language:lit, language:liv, language:ljp, language:lki, language:llb, language:lld, language:llg, language:lln, language:lmk, language:lmo, language:lmp, language:lnd, language:lob, language:loe, language:log, language:lok, language:lol, language:lom, language:loq, language:loz, language:lrc, language:lsi, language:lsm, language:ltg, language:ltz, language:lua, language:lub, language:luc, language:lud, language:lue, language:lug, language:lun, language:luo, language:lus, language:lvs, language:lwg, language:lwo, language:lww, language:lzh, language:maa, language:mad, language:maf, language:mag, language:mah, language:mai, language:maj, language:mak, language:mal, language:mam, language:maq, language:mar, language:mas, language:mau, language:mav, language:maw, language:maz, language:mbb, language:mbc, language:mbd, language:mbf, language:mbh, language:mbi, language:mbj, language:mbl, language:mbs, language:mbt, language:mca, language:mcb, language:mcd, language:mcf, language:mck, language:mcn, language:mco, language:mcp, language:mcq, language:mcu, language:mda, language:mdf, language:mdy, language:med, language:mee, language:mej, language:mek, language:men, language:meq, language:mer, language:met, language:meu, language:mev, language:mfe, language:mfg, language:mfh, language:mfi, language:mfk, language:mfq, language:mfy, language:mfz, language:mgc, language:mgh, language:mgo, language:mgr, language:mhi, language:mhl, language:mhr, language:mhw, language:mhx, language:mhy, language:mib, language:mic, language:mie, language:mif, language:mig, language:mih, language:mil, language:mim, language:min, language:mio, language:mip, language:miq, language:mir, language:mit, language:miy, language:miz, language:mjc, language:mjw, language:mkd, language:mkl, language:mkn, language:mks, language:mkz, language:mlh, language:mlp, language:mlt, language:mlu, language:mmn, language:mmo, language:mmx, language:mna, language:mnb, language:mnf, language:mni, language:mnk, language:mns, language:mnw, language:mnx, language:mny, language:moa, language:moc, language:mog, language:moh, language:mop, language:mor, language:mos, language:mox, language:mpg, language:mph, language:mpm, language:mpp, language:mps, language:mpt, language:mpx, language:mqb, language:mqj, language:mqy, language:mrg, language:mri, language:mrj, language:mrq, language:mrv, language:mrw, language:msb, language:msc, language:mse, language:msk, language:msy, language:mta, language:mtg, language:mti, language:mto, language:mtp, language:mua, language:mug, language:muh, language:mui, language:mup, language:mur, language:mus, language:mux, language:muy, language:mva, language:mvn, language:mvp, language:mwc, language:mwf, language:mwl, language:mwm, language:mwn, language:mwp, language:mwq, language:mwv, language:mww, language:mxb, language:mxp, language:mxq, language:mxt, language:mxv, language:mya, language:myb, language:myk, language:myu, language:myv, language:myw, language:myx, language:myy, language:mza, language:mzh, language:mzk, language:mzl, language:mzm, language:mzn, language:mzw, language:mzz, language:nab, language:naf, language:nah, language:nak, language:nap, language:naq, language:nas, language:nav, language:naw, language:nba, language:nbc, language:nbe, language:nbl, language:nbq, language:nbu, language:nca, language:nch, language:ncj, language:ncl, language:ncq, language:nct, language:ncu, language:ncx, language:ndc, language:nde, language:ndh, language:ndi, language:ndj, language:ndo, language:nds, language:ndz, language:neb, language:new, language:nfa, language:nfr, language:ngb, language:ngc, language:ngl, language:ngp, language:ngu, language:nhd, language:nhe, language:nhg, language:nhi, language:nhk, language:nho, language:nhr, language:nhu, language:nhw, language:nhx, language:nhy, language:nia, language:nif, language:nii, language:nij, language:nim, language:nin, language:nio, language:niu, language:niy, language:njb, language:njm, language:njn, language:njo, language:njz, language:nkf, language:nko, language:nld, language:nlg, language:nma, language:nmf, language:nmh, language:nmo, language:nmw, language:nmz, language:nnb, language:nng, language:nnh, language:nnl, language:nno, language:nnp, language:nnq, language:nnw, language:noa, language:nob, language:nod, language:nog, language:non, language:nop, language:not, language:nou, language:nov, language:nph, language:npi, language:npl, language:npo, language:npy, language:nqo, language:nre, language:nrf, language:nri, language:nrm, language:nsa, language:nse, language:nsm, language:nsn, language:nso, language:nss, language:nst, language:nsu, language:ntp, language:ntr, language:ntu, language:nuj, language:nus, language:nuy, language:nvm, language:nwb, language:nwi, language:nwx, language:nxd, language:nya, language:nyf, language:nyk, language:nyn, language:nyo, language:nyu, language:nyy, language:nza, language:nzi, language:nzm, language:obo, language:oci, language:ogo, language:ojb, language:oke, language:oku, language:okv, language:old, language:olo, language:omb, language:omw, language:ong, language:ons, language:ood, language:opm, language:orv, language:ory, language:oss, language:ota, language:otd, language:ote, language:otm, language:otn, language:oto, language:otq, language:ots, language:otw, language:oym, language:ozm, language:pab, language:pad, language:pag, language:pah, language:pam, language:pan, language:pao, language:pap, language:pau, language:pbb, language:pbc, language:pbi, language:pbt, language:pcd, language:pck, language:pcm, language:pdc, language:pdt, language:pem, language:pfe, language:pfl, language:phm, language:pib, language:pio, language:pir, language:pis, language:pjt, language:pkb, language:plg, language:pls, language:plt, language:plu, language:plw, language:pma, language:pmf, language:pmq, language:pms, language:pmx, language:pnb, language:pne, language:pnt, language:pny, language:poe, language:poh, language:poi, language:pol, language:pon, language:por, language:pos, language:pot, language:pov, language:poy, language:ppk, language:ppo, language:pps, language:prf, language:prg, language:pri, language:prq, language:pse, language:pss, language:ptp, language:ptu, language:pui, language:pwg, language:pwn, language:pww, language:pxm, language:qub, language:quc, language:quf, language:qug, language:quh, language:qul, language:qup, language:qus, language:quw, language:quy, language:quz, language:qva, language:qvc, language:qve, language:qvh, language:qvi, language:qvm, language:qvn, language:qvo, language:qvs, language:qvw, language:qvz, language:qwh, language:qxh, language:qxl, language:qxn, language:qxo, language:qxr, language:rad, language:rai, language:rap, language:rar, language:rav, language:raw, language:rcf, language:rej, language:rel, language:rgu, language:rhg, language:ria, language:rim, language:rjs, language:rkb, language:rmc, language:rme, language:rml, language:rmn, language:rmo, language:rmq, language:rmy, language:rnd, language:rng, language:rnl, language:roh, language:ron, language:roo, language:rop, language:row, language:rro, language:rtm, language:rub, language:rue, language:ruf, language:rug, language:run, language:rup, language:rus, language:rwo, language:sab, language:sag, language:sah, language:san, language:sas, language:sat, language:sba, language:sbd, language:sbe, language:sbl, language:sbs, language:sby, language:sck, language:scn, language:sco, language:sda, language:sdc, language:sdh, language:sdo, language:sdq, language:seh, language:ses, language:sey, language:sfw, language:sgb, language:sgc, language:sgh, language:sgs, language:sgw, language:sgz, language:shi, language:shk, language:shn, language:shp, language:shu, language:sid, language:sig, language:sil, language:sim, language:sin, language:sja, language:sjo, language:sju, language:skg, language:skr, language:sld, language:slk, language:sll, language:slv, language:sma, language:sme, language:smj, language:smk, language:sml, language:smn, language:smo, language:sms, language:smt, language:sna, language:snc, language:snd, language:snf, language:snn, language:snp, language:snw, language:sny, language:soe, language:som, language:sop, language:soq, language:sot, language:soy, language:spa, language:spl, language:spm, language:spp, language:sps, language:spy, language:srd, language:sri, language:srm, language:srn, language:srp, language:srq, language:srr, language:ssd, language:ssg, language:ssw, language:ssx, language:stn, language:stp, language:stq, language:sua, language:suc, language:sue, language:suk, language:sun, language:sur, language:sus, language:suz, language:swb, language:swc, language:swe, language:swg, language:swh, language:swk, language:swp, language:sxb, language:sxn, language:syb, language:syc, language:syl, language:szl, language:szy, language:tab, language:tac, language:tah, language:taj, language:tam, language:tap, language:taq, language:tar, language:tat, language:tav, language:taw, language:tay, language:tbc, language:tbg, language:tbk, language:tbl, language:tbo, language:tbw, language:tby, language:tbz, language:tca, language:tcc, language:tcf, language:tcs, language:tcy, language:tcz, language:ted, language:tee, language:tel, language:tem, language:teo, language:ter, language:tet, language:tew, language:tfr, language:tgk, language:tgo, language:tgp, language:tha, language:thk, language:thl, language:tif, language:tig, language:tih, language:tik, language:tim, language:tir, language:tiv, language:tiy, language:tke, language:tkl, language:tkr, language:tku, language:tlb, language:tlf, language:tlh, language:tlj, language:tll, language:tly, language:tmc, language:tmd, language:tna, language:tnc, language:tnk, language:tnn, language:tnp, language:tnr, language:tob, language:toc, language:tod, language:tog, language:toh, language:toi, language:toj, language:tok, language:ton, language:too, language:top, language:tos, language:tpa, language:tpi, language:tpm, language:tpp, language:tpt, language:tpw, language:tpz, language:tqo, language:trc, language:trn, language:tro, language:trp, language:trq, language:trs, language:trv, language:tsc, language:tsg, language:tsn, language:tso, language:tsw, language:tsz, language:ttc, language:tte, language:ttj, language:ttq, language:tuc, language:tue, language:tuf, language:tui, language:tuk, language:tul, language:tum, language:tuo, language:tur, language:tuv, language:tvk, language:tvl, language:twi, language:twu, language:twx, language:txq, language:txu, language:tyv, language:tzh, language:tzj, language:tzl, language:tzm, language:tzo, language:ubr, language:ubu, language:udm, language:udu, language:uig, language:ukr, language:umb, language:upv, language:ura, language:urb, language:urd, language:urh, language:uri, language:urk, language:urt, language:urw, language:ury, language:usa, language:usp, language:uth, language:uvh, language:uvl, language:uzn, language:uzs, language:vag, language:vap, language:var, language:vec, language:ven, language:vep, language:vid, language:vie, language:viv, language:vls, language:vmk, language:vmw, language:vmy, language:vol, language:vot, language:vro, language:vun, language:vut, language:waj, language:wal, language:wap, language:war, language:wat, language:way, language:wba, language:wbm, language:wbp, language:wed, language:wer, language:wes, language:wew, language:whg, language:whk, language:wib, language:wim, language:wiu, language:wln, language:wls, language:wlv, language:wlx, language:wmt, language:wmw, language:wnc, language:wnu, language:wob, language:wol, language:wos, language:wrk, language:wrs, language:wsg, language:wsk, language:wuu, language:wuv, language:wwa, language:xal, language:xav, language:xbi, language:xbr, language:xed, language:xho, language:xla, language:xmf, language:xmm, language:xmv, language:xnn, language:xog, language:xon, language:xrb, language:xsb, language:xsi, language:xsm, language:xsr, language:xsu, language:xtd, language:xtm, language:xtn, language:xuo, language:yaa, language:yad, language:yal, language:yam, language:yan, language:yao, language:yap, language:yaq, language:yat, language:yaz, language:ybb, language:yby, language:ycn, language:ydd, language:yim, language:yka, language:yle, language:yli, language:yml, language:yom, language:yon, language:yor, language:yrb, language:yre, language:yrk, language:yrl, language:yss, language:yua, language:yue, language:yuj, language:yup, language:yut, language:yuw, language:yuz, language:yva, language:zaa, language:zab, language:zac, language:zad, language:zae, language:zai, language:zam, language:zao, language:zar, language:zas, language:zat, language:zav, language:zaw, language:zca, language:zdj, language:zea, language:zgh, language:zia, language:ziw, language:zne, language:zom, language:zos, language:zpa, language:zpc, language:zpg, language:zpi, language:zpj, language:zpl, language:zpm, language:zpo, language:zpq, language:zpt, language:zpu, language:zpv, language:zpz, language:zsm, language:zsr, language:ztq, language:zty, language:zul, language:zyb, language:zyp, license:odc-by, size_categories:100M<n<1B, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2506.18421, arxiv:2109.07445, region:us
- **License:** Not specified
## 📖 Description
```text
Liberating 3T of the finest tokens from PDFs
What is this?
As we run out of web pages to process, the natural question has always been: what to do next? Only a few knew about a data source that everyone avoided for ages, due to its incredible extraction cost and complexity: PDFs.
📄 FinePDFs is exactly that. It is the largest publicly available corpus sourced exclusively from PDFs, containing about 3 trillion tokens across 475 million documents in 1733 languages.
Compared to HTML… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFW/finepdfs....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/aai_Latn/train/000_00000.parquet`
- `data/aak_Latn/train/000_00000.parquet`
- `data/aau_Latn/train/000_00000.parquet`
- `data/aaz_Latn/train/000_00000.parquet`
- `data/aba_Latn/train/000_00000.parquet`
- `data/abk_Cyrl/test/000_00000.parquet`
- `data/abk_Cyrl/train/000_00000.parquet`
- `data/abq_Cyrl/train/000_00000.parquet`
- `data/abs_Latn/test/000_00000.parquet`
- `data/abs_Latn/train/000_00000.parquet`
- `data/acm_Arab/test/000_00000.parquet`
- `data/acm_Arab/train/000_00000.parquet`
- `data/acr_Latn/train/000_00000.parquet`
- ... and more.
## 📊 Data Structure
### Config: `aai_Latn`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `offset` | `int` |
| `token_count` | `int` |
| `language` | `str` |
| `page_average_lid` | `str` |
| `page_average_lid_score` | `float` |
| `full_doc_lid` | `str` |
| `full_doc_lid_score` | `float` |
| `per_page_languages` | `list` |
| `is_truncated` | `bool` |
| `extractor` | `str` |
| `page_ends` | `list` |
### Config: `aak_Latn`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `offset` | `int` |
| `token_count` | `int` |
| `language` | `str` |
| `page_average_lid` | `str` |
| `page_average_lid_score` | `float` |
| `full_doc_lid` | `str` |
| `full_doc_lid_score` | `float` |
| `per_page_languages` | `list` |
| `is_truncated` | `bool` |
| `extractor` | `str` |
| `page_ends` | `list` |
### Config: `aau_Latn`
#### Split: `train`
| Column Name | Data Type |
|---|---|
| `text` | `str` |
| `id` | `str` |
| `dump` | `str` |
| `url` | `str` |
| `date` | `str` |
| `file_path` | `str` |
| `offset` | `int` |
| `token_count` | `int` |
| `language` | `str` |
| `page_average_lid` | `str` |
| `page_average_lid_score` | `float` |
| `full_doc_lid` | `str` |
| `full_doc_lid_score` | `float` |
| `per_page_languages` | `list` |
| `is_truncated` | `bool` |
| `extractor` | `str` |
| `page_ends` | `list` |
|
legacy-datasets/wikipedia
|
legacy-datasets
|
task_categories:text-generation, task_categories:fill-mask, task_ids:language-modeling, task_ids:masked-language-modeling, annotations_creators:no-annotation, language_creators:crowdsourced, multilinguality:multilingual, source_datasets:original, language:aa, language:ab, language:ace, language:af, language:ak, language:als, language:am, language:an, language:ang, language:ar, language:arc, language:arz, language:as, language:ast, language:atj, language:av, language:ay, language:az, language:azb, language:ba, language:bar, language:bcl, language:be, language:bg, language:bh, language:bi, language:bjn, language:bm, language:bn, language:bo, language:bpy, language:br, language:bs, language:bug, language:bxr, language:ca, language:cbk, language:cdo, language:ce, language:ceb, language:ch, language:cho, language:chr, language:chy, language:ckb, language:co, language:cr, language:crh, language:cs, language:csb, language:cu, language:cv, language:cy, language:da, language:de, language:din, language:diq, language:dsb, language:dty, language:dv, language:dz, language:ee, language:el, language:eml, language:en, language:eo, language:es, language:et, language:eu, language:ext, language:fa, language:ff, language:fi, language:fj, language:fo, language:fr, language:frp, language:frr, language:fur, language:fy, language:ga, language:gag, language:gan, language:gd, language:gl, language:glk, language:gn, language:gom, language:gor, language:got, language:gu, language:gv, language:ha, language:hak, language:haw, language:he, language:hi, language:hif, language:ho, language:hr, language:hsb, language:ht, language:hu, language:hy, language:ia, language:id, language:ie, language:ig, language:ii, language:ik, language:ilo, language:inh, language:io, language:is, language:it, language:iu, language:ja, language:jam, language:jbo, language:jv, language:ka, language:kaa, language:kab, language:kbd, language:kbp, language:kg, language:ki, language:kj, language:kk, language:kl, language:km, language:kn, language:ko, language:koi, language:krc, language:ks, language:ksh, language:ku, language:kv, language:kw, language:ky, language:la, language:lad, language:lb, language:lbe, language:lez, language:lfn, language:lg, language:li, language:lij, language:lmo, language:ln, language:lo, language:lrc, language:lt, language:ltg, language:lv, language:lzh, language:mai, language:mdf, language:mg, language:mh, language:mhr, language:mi, language:min, language:mk, language:ml, language:mn, language:mr, language:mrj, language:ms, language:mt, language:mus, language:mwl, language:my, language:myv, language:mzn, language:na, language:nah, language:nan, language:nap, language:nds, language:ne, language:new, language:ng, language:nl, language:nn, language:no, language:nov, language:nrf, language:nso, language:nv, language:ny, language:oc, language:olo, language:om, language:or, language:os, language:pa, language:pag, language:pam, language:pap, language:pcd, language:pdc, language:pfl, language:pi, language:pih, language:pl, language:pms, language:pnb, language:pnt, language:ps, language:pt, language:qu, language:rm, language:rmy, language:rn, language:ro, language:ru, language:rue, language:rup, language:rw, language:sa, language:sah, language:sat, language:sc, language:scn, language:sco, language:sd, language:se, language:sg, language:sgs, language:sh, language:si, language:sk, language:sl, language:sm, language:sn, language:so, language:sq, language:sr, language:srn, language:ss, language:st, language:stq, language:su, language:sv, language:sw, language:szl, language:ta, language:tcy, language:tdt, language:te, language:tg, language:th, language:ti, language:tk, language:tl, language:tn, language:to, language:tpi, language:tr, language:ts, language:tt, language:tum, language:tw, language:ty, language:tyv, language:udm, language:ug, language:uk, language:ur, language:uz, language:ve, language:vec, language:vep, language:vi, language:vls, language:vo, language:vro, language:wa, language:war, language:wo, language:wuu, language:xal, language:xh, language:xmf, language:yi, language:yo, language:yue, language:za, language:zea, language:zh, language:zu, license:cc-by-sa-3.0, license:gfdl, size_categories:n<1K, region:us
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community
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# Dataset: `legacy-datasets/wikipedia`
## 📝 Metadata
- **Author/Owner:** legacy-datasets
- **Downloads:** 25757
- **Likes:** 604
- **Tags:** task_categories:text-generation, task_categories:fill-mask, task_ids:language-modeling, task_ids:masked-language-modeling, annotations_creators:no-annotation, language_creators:crowdsourced, multilinguality:multilingual, source_datasets:original, language:aa, language:ab, language:ace, language:af, language:ak, language:als, language:am, language:an, language:ang, language:ar, language:arc, language:arz, language:as, language:ast, language:atj, language:av, language:ay, language:az, language:azb, language:ba, language:bar, language:bcl, language:be, language:bg, language:bh, language:bi, language:bjn, language:bm, language:bn, language:bo, language:bpy, language:br, language:bs, language:bug, language:bxr, language:ca, language:cbk, language:cdo, language:ce, language:ceb, language:ch, language:cho, language:chr, language:chy, language:ckb, language:co, language:cr, language:crh, language:cs, language:csb, language:cu, language:cv, language:cy, language:da, language:de, language:din, language:diq, language:dsb, language:dty, language:dv, language:dz, language:ee, language:el, language:eml, language:en, language:eo, language:es, language:et, language:eu, language:ext, language:fa, language:ff, language:fi, language:fj, language:fo, language:fr, language:frp, language:frr, language:fur, language:fy, language:ga, language:gag, language:gan, language:gd, language:gl, language:glk, language:gn, language:gom, language:gor, language:got, language:gu, language:gv, language:ha, language:hak, language:haw, language:he, language:hi, language:hif, language:ho, language:hr, language:hsb, language:ht, language:hu, language:hy, language:ia, language:id, language:ie, language:ig, language:ii, language:ik, language:ilo, language:inh, language:io, language:is, language:it, language:iu, language:ja, language:jam, language:jbo, language:jv, language:ka, language:kaa, language:kab, language:kbd, language:kbp, language:kg, language:ki, language:kj, language:kk, language:kl, language:km, language:kn, language:ko, language:koi, language:krc, language:ks, language:ksh, language:ku, language:kv, language:kw, language:ky, language:la, language:lad, language:lb, language:lbe, language:lez, language:lfn, language:lg, language:li, language:lij, language:lmo, language:ln, language:lo, language:lrc, language:lt, language:ltg, language:lv, language:lzh, language:mai, language:mdf, language:mg, language:mh, language:mhr, language:mi, language:min, language:mk, language:ml, language:mn, language:mr, language:mrj, language:ms, language:mt, language:mus, language:mwl, language:my, language:myv, language:mzn, language:na, language:nah, language:nan, language:nap, language:nds, language:ne, language:new, language:ng, language:nl, language:nn, language:no, language:nov, language:nrf, language:nso, language:nv, language:ny, language:oc, language:olo, language:om, language:or, language:os, language:pa, language:pag, language:pam, language:pap, language:pcd, language:pdc, language:pfl, language:pi, language:pih, language:pl, language:pms, language:pnb, language:pnt, language:ps, language:pt, language:qu, language:rm, language:rmy, language:rn, language:ro, language:ru, language:rue, language:rup, language:rw, language:sa, language:sah, language:sat, language:sc, language:scn, language:sco, language:sd, language:se, language:sg, language:sgs, language:sh, language:si, language:sk, language:sl, language:sm, language:sn, language:so, language:sq, language:sr, language:srn, language:ss, language:st, language:stq, language:su, language:sv, language:sw, language:szl, language:ta, language:tcy, language:tdt, language:te, language:tg, language:th, language:ti, language:tk, language:tl, language:tn, language:to, language:tpi, language:tr, language:ts, language:tt, language:tum, language:tw, language:ty, language:tyv, language:udm, language:ug, language:uk, language:ur, language:uz, language:ve, language:vec, language:vep, language:vi, language:vls, language:vo, language:vro, language:wa, language:war, language:wo, language:wuu, language:xal, language:xh, language:xmf, language:yi, language:yo, language:yue, language:za, language:zea, language:zh, language:zu, license:cc-by-sa-3.0, license:gfdl, size_categories:n<1K, region:us
- **License:** Not specified
## 📖 Description
```text
Wikipedia dataset containing cleaned articles of all languages.
The datasets are built from the Wikipedia dump
(https://dumps.wikimedia.org/) with one split per language. Each example
contains the content of one full Wikipedia article with cleaning to strip
markdown and unwanted sections (references, etc.)....
```
## 📂 File System Sample
- `.gitattributes`
- `README.md`
- `data/20220301.de/train-00000-of-00018.parquet`
- `data/20220301.de/train-00001-of-00018.parquet`
- `data/20220301.de/train-00002-of-00018.parquet`
- `data/20220301.de/train-00003-of-00018.parquet`
- `data/20220301.de/train-00004-of-00018.parquet`
- `data/20220301.de/train-00005-of-00018.parquet`
- `data/20220301.de/train-00006-of-00018.parquet`
- `data/20220301.de/train-00007-of-00018.parquet`
- `data/20220301.de/train-00008-of-00018.parquet`
- `data/20220301.de/train-00009-of-00018.parquet`
- `data/20220301.de/train-00010-of-00018.parquet`
- `data/20220301.de/train-00011-of-00018.parquet`
- `data/20220301.de/train-00012-of-00018.parquet`
- ... and more.
## 📊 Data Structure
**Graceful Failure:**
```
Could not inspect the dataset's structure.
This is common for complex datasets that require executing remote code, which is disabled for stability.
Details: Dataset scripts are no longer supported, but found wikipedia.py
```
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