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Update files from the datasets library (from 1.7.0)

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

Files changed (2) hide show
  1. README.md +17 -4
  2. indic_glue.py +1 -1
README.md CHANGED
@@ -1,4 +1,5 @@
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  ---
 
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  ---
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  # Dataset Card for "indic_glue"
@@ -6,12 +7,12 @@
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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)
@@ -59,7 +60,7 @@ between a model's score on this task and its score on the unconverted original t
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  call converted dataset WNLI (Winograd NLI). This dataset is translated and publicly released for 3
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  Indian languages by AI4Bharat.
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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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@@ -191,7 +192,7 @@ The data fields are the same among all splits.
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  - `question`: a `string` feature.
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  - `label`: a `int32` feature.
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- ### Data Splits Sample Size
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  #### actsa-sc.te
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@@ -231,10 +232,22 @@ 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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  ---
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+ paperswithcode_id: null
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  ---
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  # Dataset Card for "indic_glue"
 
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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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  call converted dataset WNLI (Winograd NLI). This dataset is translated and publicly released for 3
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  Indian languages by AI4Bharat.
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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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  - `question`: a `string` feature.
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  - `label`: a `int32` feature.
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+ ### Data Splits
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  #### actsa-sc.te
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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
indic_glue.py CHANGED
@@ -59,7 +59,7 @@ _DESCRIPTIONS = {
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  "sna": textwrap.dedent(
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  """
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  This dataset is a collection of Bengali News articles. The dataset is used for classifying articles into
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- 5 different classes namely international, state, kolkata, entertainment and sports.
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  """
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  ),
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  "csqa": textwrap.dedent(
 
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  "sna": textwrap.dedent(
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  """
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  This dataset is a collection of Bengali News articles. The dataset is used for classifying articles into
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+ 6 different classes namely national, international, state, kolkata, entertainment and sports.
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  """
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  ),
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  "csqa": textwrap.dedent(