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Griffin_datasets_joint_v65

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
number: int64
tail of airbnb-Population:airbnb-Population-country_destination:airbnb-Country: list<item: int64>
  child 0, item: int64
tail of airbnb-Population:airbnb-Population-country_destination:airbnb-Country___TIMESTAMP: list<item: int64>
  child 0, item: int64
-- schema metadata --
huggingface: '{"info": {"features": {"number": {"dtype": "int64", "_type"' + 333
to
{'number': Value('int64'), 'tail of airbnb-User:airbnb-User-age_bucket:airbnb-Age_bucket': List(Value('int64')), 'tail of airbnb-User:airbnb-User-age_bucket:airbnb-Age_bucket___TIMESTAMP': List(Value('int64')), 'tail of airbnb-Population:airbnb-Population-age_bucket:airbnb-Age_bucket': List(Value('int64')), 'tail of airbnb-Population:airbnb-Population-age_bucket:airbnb-Age_bucket___TIMESTAMP': List(Value('int64'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1905, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 76, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 59, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              number: int64
              tail of airbnb-Population:airbnb-Population-country_destination:airbnb-Country: list<item: int64>
                child 0, item: int64
              tail of airbnb-Population:airbnb-Population-country_destination:airbnb-Country___TIMESTAMP: list<item: int64>
                child 0, item: int64
              -- schema metadata --
              huggingface: '{"info": {"features": {"number": {"dtype": "int64", "_type"' + 333
              to
              {'number': Value('int64'), 'tail of airbnb-User:airbnb-User-age_bucket:airbnb-Age_bucket': List(Value('int64')), 'tail of airbnb-User:airbnb-User-age_bucket:airbnb-Age_bucket___TIMESTAMP': List(Value('int64')), 'tail of airbnb-Population:airbnb-Population-age_bucket:airbnb-Age_bucket': List(Value('int64')), 'tail of airbnb-Population:airbnb-Population-age_bucket:airbnb-Age_bucket___TIMESTAMP': List(Value('int64'))}
              because column names don't match

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Griffin: Joint RDB Dataset (v65)

This repository contains the main experiment data used for the Griffin model. The paper is at Link.

The data is not in a standard format (like CSV or Parquet). Instead, it's provided as a collection of processed files and directories that are loaded using the custom scripts from our main code repository.

For detailed information on the data processing, model architecture, and loading logic, please refer to our main GitHub repository: https://github.com/yanxwb/Griffin

How to Use

The primary way to use this data is to first download it and then use it with the code from the GitHub repository mentioned above.

Here are some examples to download the entire dataset folder.

Using Python

You can use the huggingface_hub library to download the entire repository to a local directory.

from huggingface_hub import snapshot_download

# This will download the whole repository to your Hugging Face cache
# and return the path to it.
repo_id = "yamboo/Griffin_datasets_joint_v65"
local_dir_path = snapshot_download(
    repo_id=repo_id,
    repo_type="dataset",
    # You can specify a local folder if you don't want to use the cache
    # local_dir="path/to/my/local/folder",
)

print(f"Dataset downloaded to: {local_dir_path}")
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Models trained or fine-tuned on yamboo/Griffin_datasets_joint_v65