Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
extended|wikipedia
Tags:
structure-prediction
License:
urbija commited on
Commit
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1 Parent(s): bb2457a

updated model card

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- This script is for loading the Few-NERD dataset from https://ningding97.github.io/fewnerd/
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ languages:
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+ - en
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+ licenses:
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+ - cc-by-sa-4.0
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+ multilinguality:
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+ - monolingual
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+ paperswithcode_id: few-nerd
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+ pretty_name: Few-NERD
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+ size_categories:
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+ - 100K<n<1M
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+ source_datasets:
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+ - extended|wikipedia
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+ task_categories:
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+ - structure-prediction
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+ task_ids:
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+ - named-entity-recognition
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+ ---
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+
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+ # Dataset Card for "Few-NERD"
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [https://ningding97.github.io/fewnerd/](https://ningding97.github.io/fewnerd/)
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+ - **Repository:** [https://github.com/thunlp/Few-NERD](https://github.com/thunlp/Few-NERD)
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+ - **Paper:** [https://aclanthology.org/2021.acl-long.248/](https://aclanthology.org/2021.acl-long.248/)
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+ - **Point of Contact:** See [https://ningding97.github.io/fewnerd/](https://ningding97.github.io/fewnerd/)
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+
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+ ### Dataset Summary
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+
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+ This script is for loading the Few-NERD dataset from https://ningding97.github.io/fewnerd/.
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+
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+ 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)).
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+
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+ 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.
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+
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+ For more details see https://ningding97.github.io/fewnerd/ and https://aclanthology.org/2021.acl-long.248/.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ - **Tasks:** Named Entity Recognition, Few-shot NER
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+ - **Leaderboards:**
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+ - https://ningding97.github.io/fewnerd/
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+ - named-entity-recognition:https://paperswithcode.com/sota/named-entity-recognition-on-few-nerd-sup
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+ - other-few-shot-ner:https://paperswithcode.com/sota/few-shot-ner-on-few-nerd-intra
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+ - other-few-shot-ner:https://paperswithcode.com/sota/few-shot-ner-on-few-nerd-inter
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+
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+
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+ ### Languages
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+
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+ English
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ - **Size of downloaded dataset files:**
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+ - `super`: 14.6 MB
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+ - `intra`: 11.4 MB
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+ - `inter`: 11.5 MB
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+
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+ - **Size of the generated dataset:**
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+ - `super`: 116.9 MB
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+ - `intra`: 106.2 MB
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+ - `inter`: 106.2 MB
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+
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+ - **Total amount of disk used:** 366.8 MB
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+
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+
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+ An example of 'train' looks as follows.
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+
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+ ```json
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+ {
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+ 'id': '1',
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+ 'tokens': ['It', 'starred', 'Hicks', "'s", 'wife', ',', 'Ellaline', 'Terriss', 'and', 'Edmund', 'Payne', '.'],
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+ 'ner_tags': [0, 0, 7, 0, 0, 0, 7, 7, 0, 7, 7, 0],
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+ 'fine_ner_tags': [0, 0, 51, 0, 0, 0, 50, 50, 0, 50, 50, 0]
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+ }
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+ ```
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+
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+
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+
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+ ### Data Fields
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+
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+ The data fields are the same among all splits.
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+
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+ - `id`: a `string` feature.
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+ - `tokens`: a `list` of `string` features.
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+ - `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)
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+ - `fine_ner_tags`: a `list` of fine-grained classification labels, with possible values including `O` (0), `art-broadcastprogram` (1), `art-film` (2), ...
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+
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+ ### Data Splits
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+
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+ | Task | Train | Dev | Test |
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+ | ----- | ------ | ----- | ---- |
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+ | SUP | 131767 | 18824 | 37648 |
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+ | INTRA | 99519 | 19358 | 44059 |
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+ | INTER | 130112 | 18817 | 14007 |
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+
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+ ### Licensing Information
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+
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+ [CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/)
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+
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+ ### Citation Information
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+
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+ ```
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+ @inproceedings{ding-etal-2021-nerd,
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+ title = "Few-{NERD}: A Few-shot Named Entity Recognition Dataset",
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+ author = "Ding, Ning and
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+ Xu, Guangwei and
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+ Chen, Yulin and
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+ Wang, Xiaobin and
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+ Han, Xu and
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+ Xie, Pengjun and
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+ Zheng, Haitao and
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+ Liu, Zhiyuan",
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+ 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)",
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+ month = aug,
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+ year = "2021",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2021.acl-long.248",
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+ doi = "10.18653/v1/2021.acl-long.248",
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+ pages = "3198--3213",
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+ }
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+ ```
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+
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+
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+ ### Contributions