Duplicate from DFKI-SLT/few-nerd

Co-authored-by: Satya <Satya10@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+language:
+- en
+license:
+- cc-by-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 100K<n<1M
+source_datasets:
+- extended|wikipedia
+task_categories:
+- token-classification
+task_ids:
+- named-entity-recognition
+paperswithcode_id: few-nerd
+pretty_name: Few-NERD
+tags:
+- structure-prediction
+dataset_info:
+- config_name: inter
+  features:
+  - name: id
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': art
+          '2': building
+          '3': event
+          '4': location
+          '5': organization
+          '6': other
+          '7': person
+          '8': product
+  - name: fine_ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': art-broadcastprogram
+          '2': art-film
+          '3': art-music
+          '4': art-other
+          '5': art-painting
+          '6': art-writtenart
+          '7': building-airport
+          '8': building-hospital
+          '9': building-hotel
+          '10': building-library
+          '11': building-other
+          '12': building-restaurant
+          '13': building-sportsfacility
+          '14': building-theater
+          '15': event-attack/battle/war/militaryconflict
+          '16': event-disaster
+          '17': event-election
+          '18': event-other
+          '19': event-protest
+          '20': event-sportsevent
+          '21': location-GPE
+          '22': location-bodiesofwater
+          '23': location-island
+          '24': location-mountain
+          '25': location-other
+          '26': location-park
+          '27': location-road/railway/highway/transit
+          '28': organization-company
+          '29': organization-education
+          '30': organization-government/governmentagency
+          '31': organization-media/newspaper
+          '32': organization-other
+          '33': organization-politicalparty
+          '34': organization-religion
+          '35': organization-showorganization
+          '36': organization-sportsleague
+          '37': organization-sportsteam
+          '38': other-astronomything
+          '39': other-award
+          '40': other-biologything
+          '41': other-chemicalthing
+          '42': other-currency
+          '43': other-disease
+          '44': other-educationaldegree
+          '45': other-god
+          '46': other-language
+          '47': other-law
+          '48': other-livingthing
+          '49': other-medical
+          '50': person-actor
+          '51': person-artist/author
+          '52': person-athlete
+          '53': person-director
+          '54': person-other
+          '55': person-politician
+          '56': person-scholar
+          '57': person-soldier
+          '58': product-airplane
+          '59': product-car
+          '60': product-food
+          '61': product-game
+          '62': product-other
+          '63': product-ship
+          '64': product-software
+          '65': product-train
+          '66': product-weapon
+  splits:
+  - name: train
+    num_bytes: 87456461
+    num_examples: 130112
+  - name: validation
+    num_bytes: 10813084
+    num_examples: 18817
+  - name: test
+    num_bytes: 7920453
+    num_examples: 14007
+  download_size: 19914244
+  dataset_size: 106189998
+- config_name: intra
+  features:
+  - name: id
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': art
+          '2': building
+          '3': event
+          '4': location
+          '5': organization
+          '6': other
+          '7': person
+          '8': product
+  - name: fine_ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': art-broadcastprogram
+          '2': art-film
+          '3': art-music
+          '4': art-other
+          '5': art-painting
+          '6': art-writtenart
+          '7': building-airport
+          '8': building-hospital
+          '9': building-hotel
+          '10': building-library
+          '11': building-other
+          '12': building-restaurant
+          '13': building-sportsfacility
+          '14': building-theater
+          '15': event-attack/battle/war/militaryconflict
+          '16': event-disaster
+          '17': event-election
+          '18': event-other
+          '19': event-protest
+          '20': event-sportsevent
+          '21': location-GPE
+          '22': location-bodiesofwater
+          '23': location-island
+          '24': location-mountain
+          '25': location-other
+          '26': location-park
+          '27': location-road/railway/highway/transit
+          '28': organization-company
+          '29': organization-education
+          '30': organization-government/governmentagency
+          '31': organization-media/newspaper
+          '32': organization-other
+          '33': organization-politicalparty
+          '34': organization-religion
+          '35': organization-showorganization
+          '36': organization-sportsleague
+          '37': organization-sportsteam
+          '38': other-astronomything
+          '39': other-award
+          '40': other-biologything
+          '41': other-chemicalthing
+          '42': other-currency
+          '43': other-disease
+          '44': other-educationaldegree
+          '45': other-god
+          '46': other-language
+          '47': other-law
+          '48': other-livingthing
+          '49': other-medical
+          '50': person-actor
+          '51': person-artist/author
+          '52': person-athlete
+          '53': person-director
+          '54': person-other
+          '55': person-politician
+          '56': person-scholar
+          '57': person-soldier
+          '58': product-airplane
+          '59': product-car
+          '60': product-food
+          '61': product-game
+          '62': product-other
+          '63': product-ship
+          '64': product-software
+          '65': product-train
+          '66': product-weapon
+  splits:
+  - name: train
+    num_bytes: 67631522
+    num_examples: 99519
+  - name: validation
+    num_bytes: 12759787
+    num_examples: 19358
+  - name: test
+    num_bytes: 25768577
+    num_examples: 44059
+  download_size: 19616006
+  dataset_size: 106159886
+- config_name: supervised
+  features:
+  - name: id
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': art
+          '2': building
+          '3': event
+          '4': location
+          '5': organization
+          '6': other
+          '7': person
+          '8': product
+  - name: fine_ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O
+          '1': art-broadcastprogram
+          '2': art-film
+          '3': art-music
+          '4': art-other
+          '5': art-painting
+          '6': art-writtenart
+          '7': building-airport
+          '8': building-hospital
+          '9': building-hotel
+          '10': building-library
+          '11': building-other
+          '12': building-restaurant
+          '13': building-sportsfacility
+          '14': building-theater
+          '15': event-attack/battle/war/militaryconflict
+          '16': event-disaster
+          '17': event-election
+          '18': event-other
+          '19': event-protest
+          '20': event-sportsevent
+          '21': location-GPE
+          '22': location-bodiesofwater
+          '23': location-island
+          '24': location-mountain
+          '25': location-other
+          '26': location-park
+          '27': location-road/railway/highway/transit
+          '28': organization-company
+          '29': organization-education
+          '30': organization-government/governmentagency
+          '31': organization-media/newspaper
+          '32': organization-other
+          '33': organization-politicalparty
+          '34': organization-religion
+          '35': organization-showorganization
+          '36': organization-sportsleague
+          '37': organization-sportsteam
+          '38': other-astronomything
+          '39': other-award
+          '40': other-biologything
+          '41': other-chemicalthing
+          '42': other-currency
+          '43': other-disease
+          '44': other-educationaldegree
+          '45': other-god
+          '46': other-language
+          '47': other-law
+          '48': other-livingthing
+          '49': other-medical
+          '50': person-actor
+          '51': person-artist/author
+          '52': person-athlete
+          '53': person-director
+          '54': person-other
+          '55': person-politician
+          '56': person-scholar
+          '57': person-soldier
+          '58': product-airplane
+          '59': product-car
+          '60': product-food
+          '61': product-game
+          '62': product-other
+          '63': product-ship
+          '64': product-software
+          '65': product-train
+          '66': product-weapon
+  splits:
+  - name: train
+    num_bytes: 81848645
+    num_examples: 131767
+  - name: validation
+    num_bytes: 11731110
+    num_examples: 18824
+  - name: test
+    num_bytes: 23345314
+    num_examples: 37648
+  download_size: 24121858
+  dataset_size: 116925069
+configs:
+- config_name: inter
+  data_files:
+  - split: train
+    path: inter/train-*
+  - split: validation
+    path: inter/validation-*
+  - split: test
+    path: inter/test-*
+- config_name: intra
+  data_files:
+  - split: train
+    path: intra/train-*
+  - split: validation
+    path: intra/validation-*
+  - split: test
+    path: intra/test-*
+- config_name: supervised
+  data_files:
+  - split: train
+    path: supervised/train-*
+  - split: validation
+    path: supervised/validation-*
+  - split: test
+    path: supervised/test-*
+---
+
+# Dataset Card for "Few-NERD"
+
+## Table of Contents
+- [Dataset Description](
+#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** [https://ningding97.github.io/fewnerd/](https://ningding97.github.io/fewnerd/)
+- **Repository:** [https://github.com/thunlp/Few-NERD](https://github.com/thunlp/Few-NERD)
+- **Paper:** [https://aclanthology.org/2021.acl-long.248/](https://aclanthology.org/2021.acl-long.248/)
+- **Point of Contact:** See [https://ningding97.github.io/fewnerd/](https://ningding97.github.io/fewnerd/) 
+
+### Dataset Summary
+
+This script is for loading the Few-NERD dataset from https://ningding97.github.io/fewnerd/. 
+
+Few-NERD is a large-scale, fine-grained manually annotated named entity recognition dataset, which contains 8 coarse-grained types, 66 fine-grained types, 188,200 sentences, 491,711 entities, and 4,601,223 tokens. Three benchmark tasks are built, one is supervised (Few-NERD (SUP)) and the other two are few-shot (Few-NERD (INTRA) and Few-NERD (INTER)).
+
+NER tags use the `IO` tagging scheme. The original data uses a 2-column CoNLL-style format, with empty lines to separate sentences. DOCSTART information is not provided since the sentences are randomly ordered.
+
+For more details see https://ningding97.github.io/fewnerd/ and https://aclanthology.org/2021.acl-long.248/.
+
+### Supported Tasks and Leaderboards
+
+- **Tasks:** Named Entity Recognition, Few-shot NER
+- **Leaderboards:**
+  - https://ningding97.github.io/fewnerd/
+  - named-entity-recognition:https://paperswithcode.com/sota/named-entity-recognition-on-few-nerd-sup
+  - other-few-shot-ner:https://paperswithcode.com/sota/few-shot-ner-on-few-nerd-intra
+  - other-few-shot-ner:https://paperswithcode.com/sota/few-shot-ner-on-few-nerd-inter
+
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+- **Size of downloaded dataset files:** 
+  - `super`: 14.6 MB
+  - `intra`: 11.4 MB
+  - `inter`: 11.5 MB
+
+- **Size of the generated dataset:**
+  - `super`: 116.9 MB
+  - `intra`: 106.2 MB
+  - `inter`: 106.2 MB
+
+- **Total amount of disk used:** 366.8 MB
+
+
+An example of 'train' looks as follows.
+
+```json
+{
+    'id': '1', 
+    'tokens': ['It', 'starred', 'Hicks', "'s", 'wife', ',', 'Ellaline', 'Terriss', 'and', 'Edmund', 'Payne', '.'], 
+    'ner_tags': [0, 0, 7, 0, 0, 0, 7, 7, 0, 7, 7, 0], 
+    'fine_ner_tags': [0, 0, 51, 0, 0, 0, 50, 50, 0, 50, 50, 0]
+}
+```
+
+
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `id`: a `string` feature.
+- `tokens`: a `list` of `string` features.
+- `ner_tags`: a `list` of classification labels, with possible values including `O` (0), `art` (1), `building` (2), `event` (3), `location` (4), `organization` (5), `other`(6), `person` (7), `product` (8)
+- `fine_ner_tags`: a `list` of fine-grained  classification labels, with possible values including `O` (0), `art-broadcastprogram` (1), `art-film` (2), ...
+
+### Data Splits
+
+| Task      | Train  |  Dev  | Test |
+| -----     | ------ | ----- | ---- |
+| SUP       | 131767 | 18824 | 37648 |
+| INTRA     | 99519  | 19358 | 44059 |
+| INTER     | 130112 | 18817 | 14007 |
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the source language producers?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the annotators?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Personal and Sensitive Information
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Discussion of Biases
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Other Known Limitations
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Licensing Information
+
+[CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/)
+
+### Citation Information
+
+```
+@inproceedings{ding-etal-2021-nerd,
+    title = "Few-{NERD}: A Few-shot Named Entity Recognition Dataset",
+    author = "Ding, Ning  and
+      Xu, Guangwei  and
+      Chen, Yulin  and
+      Wang, Xiaobin  and
+      Han, Xu  and
+      Xie, Pengjun  and
+      Zheng, Haitao  and
+      Liu, Zhiyuan",
+    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
+    month = aug,
+    year = "2021",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.acl-long.248",
+    doi = "10.18653/v1/2021.acl-long.248",
+    pages = "3198--3213",
+}
+```
+
+
+### Contributions

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