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150a664
1 Parent(s): ba79068

Update files from the datasets library (from 1.4.0)

Browse files

Release notes: https://github.com/huggingface/datasets/releases/tag/1.4.0

Files changed (2) hide show
  1. README.md +21 -21
  2. squad.py +4 -2
README.md CHANGED
@@ -46,7 +46,7 @@ task_ids:
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  - [Citation Information](#citation-information)
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  - [Contributions](#contributions)
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- ## [Dataset Description](#dataset-description)
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  - **Homepage:** [https://rajpurkar.github.io/SQuAD-explorer/](https://rajpurkar.github.io/SQuAD-explorer/)
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  - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
@@ -56,23 +56,23 @@ task_ids:
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  - **Size of the generated dataset:** 85.75 MB
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  - **Total amount of disk used:** 119.27 MB
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- ### [Dataset Summary](#dataset-summary)
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  Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.
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- ### [Supported Tasks](#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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- ### [Languages](#languages)
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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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- ## [Dataset Structure](#dataset-structure)
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  We show detailed information for up to 5 configurations of the dataset.
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- ### [Data Instances](#data-instances)
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  #### plain_text
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@@ -94,7 +94,7 @@ An example of 'train' looks as follows.
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  }
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  ```
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- ### [Data Fields](#data-fields)
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  The data fields are the same among all splits.
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@@ -107,55 +107,55 @@ The data fields are the same among all splits.
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  - `text`: a `string` feature.
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  - `answer_start`: a `int32` feature.
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- ### [Data Splits Sample Size](#data-splits-sample-size)
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  | name |train|validation|
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  |----------|----:|---------:|
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  |plain_text|87599| 10570|
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- ## [Dataset Creation](#dataset-creation)
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118
- ### [Curation Rationale](#curation-rationale)
119
 
120
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- ### [Source Data](#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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126
- ### [Annotations](#annotations)
127
 
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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](#personal-and-sensitive-information)
131
 
132
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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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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  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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140
- ### [Discussion of Biases](#discussion-of-biases)
141
 
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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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- ### [Other Known Limitations](#other-known-limitations)
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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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- ## [Additional Information](#additional-information)
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- ### [Dataset Curators](#dataset-curators)
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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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- ### [Licensing Information](#licensing-information)
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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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- ### [Citation Information](#citation-information)
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  ```
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  @article{2016arXiv160605250R,
 
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  - [Citation Information](#citation-information)
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  - [Contributions](#contributions)
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+ ## Dataset Description
50
 
51
  - **Homepage:** [https://rajpurkar.github.io/SQuAD-explorer/](https://rajpurkar.github.io/SQuAD-explorer/)
52
  - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
56
  - **Size of the generated dataset:** 85.75 MB
57
  - **Total amount of disk used:** 119.27 MB
58
 
59
+ ### Dataset Summary
60
 
61
  Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.
62
 
63
+ ### Supported Tasks
64
 
65
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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67
+ ### Languages
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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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71
+ ## Dataset Structure
72
 
73
  We show detailed information for up to 5 configurations of the dataset.
74
 
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+ ### Data Instances
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77
  #### plain_text
78
 
 
94
  }
95
  ```
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+ ### Data Fields
98
 
99
  The data fields are the same among all splits.
100
 
 
107
  - `text`: a `string` feature.
108
  - `answer_start`: a `int32` feature.
109
 
110
+ ### Data Splits Sample Size
111
 
112
  | name |train|validation|
113
  |----------|----:|---------:|
114
  |plain_text|87599| 10570|
115
 
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+ ## Dataset Creation
117
 
118
+ ### Curation Rationale
119
 
120
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
121
 
122
+ ### Source Data
123
 
124
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
125
 
126
+ ### Annotations
127
 
128
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
129
 
130
+ ### Personal and Sensitive Information
131
 
132
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
133
 
134
+ ## Considerations for Using the Data
135
 
136
+ ### Social Impact of Dataset
137
 
138
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
139
 
140
+ ### Discussion of Biases
141
 
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  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
143
 
144
+ ### Other Known Limitations
145
 
146
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
147
 
148
+ ## Additional Information
149
 
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+ ### Dataset Curators
151
 
152
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
153
 
154
+ ### Licensing Information
155
 
156
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
157
 
158
+ ### Citation Information
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160
  ```
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  @article{2016arXiv160605250R,
squad.py CHANGED
@@ -19,11 +19,13 @@
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  from __future__ import absolute_import, division, print_function
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  import json
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- import logging
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  import datasets
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  _CITATION = """\
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  @article{2016arXiv160605250R,
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  author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
@@ -109,7 +111,7 @@ class Squad(datasets.GeneratorBasedBuilder):
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  def _generate_examples(self, filepath):
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  """This function returns the examples in the raw (text) form."""
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- logging.info("generating examples from = %s", filepath)
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  with open(filepath, encoding="utf-8") as f:
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  squad = json.load(f)
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  for article in squad["data"]:
 
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  from __future__ import absolute_import, division, print_function
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  import json
 
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  import datasets
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+ logger = datasets.logging.get_logger(__name__)
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+
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+
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  _CITATION = """\
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  @article{2016arXiv160605250R,
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  author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
 
111
 
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  def _generate_examples(self, filepath):
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  """This function returns the examples in the raw (text) form."""
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+ logger.info("generating examples from = %s", filepath)
115
  with open(filepath, encoding="utf-8") as f:
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  squad = json.load(f)
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  for article in squad["data"]: