Datasets:

Languages: English
Multilinguality: monolingual
Size Categories: 100K<n<1M
Language Creators: found
Annotations Creators: found
Source Datasets: original
License:
system HF staff commited on
Commit
29eb392
1 Parent(s): fea786a

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
@@ -17,6 +17,7 @@ task_categories:
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  - text-classification
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  task_ids:
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  - topic-classification
 
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  ---
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  # Dataset Card for "ag_news"
@@ -24,12 +25,12 @@ task_ids:
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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)
@@ -72,7 +73,7 @@ classification benchmark in the following paper: Xiang Zhang, Junbo Zhao, Yann
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  LeCun. Character-level Convolutional Networks for Text Classification. Advances
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  in Neural Information Processing Systems 28 (NIPS 2015).
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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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@@ -108,7 +109,7 @@ The data fields are the same among all splits.
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  - `text`: a `string` feature.
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  - `label`: a classification label, with possible values including `World` (0), `Sports` (1), `Business` (2), `Sci/Tech` (3).
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- ### Data Splits Sample Size
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  | name |train |test|
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  |-------|-----:|---:|
@@ -122,10 +123,22 @@ The data fields are the same among all splits.
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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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  - text-classification
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  task_ids:
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  - topic-classification
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+ paperswithcode_id: ag-news
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  ---
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  # Dataset Card for "ag_news"
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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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  LeCun. Character-level Convolutional Networks for Text Classification. Advances
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  in Neural Information Processing Systems 28 (NIPS 2015).
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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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  - `text`: a `string` feature.
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  - `label`: a classification label, with possible values including `World` (0), `Sports` (1), `Business` (2), `Sci/Tech` (3).
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+ ### Data Splits
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  | name |train |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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+
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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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  ### 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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+
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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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  ### Personal and Sensitive Information