Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
crowdsourced
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
License:
system HF staff commited on
Commit
ac52381
1 Parent(s): ff893c6

Update files from the datasets library (from 1.7.0)

Browse files

Release notes: https://github.com/huggingface/datasets/releases/tag/1.7.0

Files changed (1) hide show
  1. README.md +17 -4
README.md CHANGED
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  # Dataset Card for "docred"
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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](#supported-tasks)
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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 Sample Size](#data-splits-sample-size)
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  - [Dataset Creation](#dataset-creation)
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  - [Curation Rationale](#curation-rationale)
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  - [Source Data](#source-data)
@@ -44,7 +45,7 @@ Multiple entities in a document generally exhibit complex inter-sentence relatio
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  - DocRED requires reading multiple sentences in a document to extract entities and infer their relations by synthesizing all information of the document.
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  - Along with the human-annotated data, we also offer large-scale distantly supervised data, which enables DocRED to be adopted for both supervised and weakly supervised scenarios.
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- ### Supported Tasks
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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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  - `relation_text`: a `string` feature.
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  - `evidence`: a `list` of `int32` features.
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- ### Data Splits Sample Size
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  | name |train_annotated|train_distant|validation|test|
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  |-------|--------------:|------------:|---------:|---:|
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  ### Source Data
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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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  ### Annotations
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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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  ### Personal and Sensitive Information
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+ paperswithcode_id: docred
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  ---
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  # Dataset Card for "docred"
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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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  - DocRED requires reading multiple sentences in a document to extract entities and infer their relations by synthesizing all information of the document.
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  - Along with the human-annotated data, we also offer large-scale distantly supervised data, which enables DocRED to be adopted for both supervised and weakly supervised scenarios.
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+ ### Supported Tasks and Leaderboards
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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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  - `relation_text`: a `string` feature.
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  - `evidence`: a `list` of `int32` features.
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+ ### Data Splits
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  | name |train_annotated|train_distant|validation|test|
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  |-------|--------------:|------------:|---------:|---:|
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  ### Source Data
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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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+ #### Who are the source language producers?
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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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  ### Annotations
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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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+ #### Who are the annotators?
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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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  ### Personal and Sensitive Information