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eesuhn
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crossner-science

Tasks:
Token Classification
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Sub-tasks:
named-entity-recognition
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English
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  dataset_info:
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  features:
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  - name: tokens
@@ -7,60 +27,110 @@ dataset_info:
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  sequence:
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  class_label:
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  names:
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- '0': O
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- '1': B-scientist
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- '2': I-scientist
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- '3': B-person
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- '4': I-person
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- '5': B-university
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- '6': I-university
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- '7': B-organisation
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- '8': I-organisation
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- '9': B-country
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- '10': I-country
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- '11': B-location
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- '12': I-location
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- '13': B-discipline
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- '14': I-discipline
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- '15': B-enzyme
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- '16': I-enzyme
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- '17': B-protein
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- '18': I-protein
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- '19': B-chemicalelement
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- '20': I-chemicalelement
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- '21': B-chemicalcompound
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- '22': I-chemicalcompound
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- '23': B-astronomicalobject
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- '24': I-astronomicalobject
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- '25': B-academicjournal
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- '26': I-academicjournal
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- '27': B-event
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- '28': I-event
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- '29': B-theory
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- '30': I-theory
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- '31': B-award
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- '32': I-award
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- '33': B-misc
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- '34': I-misc
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  splits:
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  - name: train
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- num_bytes: 120638
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  num_examples: 200
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  - name: validation
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- num_bytes: 273078
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  num_examples: 450
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  - name: test
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- num_bytes: 330490
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  num_examples: 543
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- download_size: 202426
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- dataset_size: 724206
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - found
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+ language:
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+ - en
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+ license:
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+ - other
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - token-classification
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+ task_ids:
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+ - named-entity-recognition
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+ paperswithcode_id: crossner
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+ pretty_name: CrossNER-SCIENCE
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  dataset_info:
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  features:
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  - name: tokens
 
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  sequence:
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  class_label:
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  names:
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+ "0": O
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+ "1": B-scientist
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+ "2": I-scientist
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+ "3": B-person
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+ "4": I-person
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+ "5": B-university
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+ "6": I-university
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+ "7": B-organisation
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+ "8": I-organisation
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+ "9": B-country
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+ "10": I-country
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+ "11": B-location
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+ "12": I-location
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+ "13": B-discipline
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+ "14": I-discipline
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+ "15": B-enzyme
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+ "16": I-enzyme
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+ "17": B-protein
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+ "18": I-protein
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+ "19": B-chemicalelement
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+ "20": I-chemicalelement
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+ "21": B-chemicalcompound
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+ "22": I-chemicalcompound
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+ "23": B-astronomicalobject
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+ "24": I-astronomicalobject
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+ "25": B-academicjournal
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+ "26": I-academicjournal
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+ "27": B-event
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+ "28": I-event
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+ "29": B-theory
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+ "30": I-theory
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+ "31": B-award
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+ "32": I-award
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+ "33": B-misc
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+ "34": I-misc
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  splits:
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  - name: train
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+ num_bytes: 20000
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  num_examples: 200
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  - name: validation
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+ num_bytes: 45000
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  num_examples: 450
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  - name: test
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+ num_bytes: 54300
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  num_examples: 543
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # CrossNER SCIENCE Dataset
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+
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+ An NER dataset for cross-domain evaluation, [read more](https://arxiv.org/abs/2012.04373).
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+ This split contains labeled data from the SCIENCE domain.
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+
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+ ## Features
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+
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+ - **tokens**: A list of words in the sentence
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+ - **ner_tags**: A list of NER labels (as integers) corresponding to each token
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+
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+ ## Label Mapping
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+
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+ The dataset uses the following 35 labels:
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+
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+ | Index | Label |
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+ |-------|-------|
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+ | 0 | O |
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+ | 1 | B-scientist |
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+ | 2 | I-scientist |
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+ | 3 | B-person |
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+ | 4 | I-person |
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+ | 5 | B-university |
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+ | 6 | I-university |
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+ | 7 | B-organisation |
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+ | 8 | I-organisation |
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+ | 9 | B-country |
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+ | 10 | I-country |
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+ | 11 | B-location |
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+ | 12 | I-location |
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+ | 13 | B-discipline |
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+ | 14 | I-discipline |
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+ | 15 | B-enzyme |
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+ | 16 | I-enzyme |
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+ | 17 | B-protein |
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+ | 18 | I-protein |
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+ | 19 | B-chemicalelement |
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+ | 20 | I-chemicalelement |
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+ | 21 | B-chemicalcompound |
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+ | 22 | I-chemicalcompound |
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+ | 23 | B-astronomicalobject |
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+ | 24 | I-astronomicalobject |
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+ | 25 | B-academicjournal |
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+ | 26 | I-academicjournal |
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+ | 27 | B-event |
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+ | 28 | I-event |
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+ | 29 | B-theory |
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+ | 30 | I-theory |
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+ | 31 | B-award |
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+ | 32 | I-award |
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+ | 33 | B-misc |
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+ | 34 | I-misc |
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("eesuhn/crossner-science")
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+ ```
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+