Upload 3 files

squad/README.md

@@ -0,0 +1,255 @@
+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
+- found
+language:
+- en
+license: cc-by-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- extended|wikipedia
+task_categories:
+- question-answering
+task_ids:
+- extractive-qa
+paperswithcode_id: squad
+pretty_name: SQuAD
+dataset_info:
+  config_name: plain_text
+  features:
+  - name: id
+    dtype: string
+  - name: title
+    dtype: string
+  - name: context
+    dtype: string
+  - name: question
+    dtype: string
+  - name: answers
+    sequence:
+    - name: text
+      dtype: string
+    - name: answer_start
+      dtype: int32
+  splits:
+  - name: train
+    num_bytes: 79346108
+    num_examples: 87599
+  - name: validation
+    num_bytes: 10472984
+    num_examples: 10570
+  download_size: 16278203
+  dataset_size: 89819092
+configs:
+- config_name: plain_text
+  data_files:
+  - split: train
+    path: plain_text/train-*
+  - split: validation
+    path: plain_text/validation-*
+  default: true
+train-eval-index:
+- config: plain_text
+  task: question-answering
+  task_id: extractive_question_answering
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    question: question
+    context: context
+    answers:
+      text: text
+      answer_start: answer_start
+  metrics:
+  - type: squad
+    name: SQuAD
+---
+
+# Dataset Card for SQuAD
+
+## Table of Contents
+- [Dataset Card for "squad"](#dataset-card-for-squad)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+  - [Dataset Structure](#dataset-structure)
+    - [Data Instances](#data-instances)
+      - [plain_text](#plain_text)
+    - [Data Fields](#data-fields)
+      - [plain_text](#plain_text-1)
+    - [Data Splits](#data-splits)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+    - [Annotations](#annotations)
+      - [Annotation process](#annotation-process)
+      - [Who are the annotators?](#who-are-the-annotators)
+    - [Personal and Sensitive Information](#personal-and-sensitive-information)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+  - [Additional Information](#additional-information)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+    - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://rajpurkar.github.io/SQuAD-explorer/
+- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** https://arxiv.org/abs/1606.05250
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Dataset Summary
+
+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.
+
+SQuAD 1.1 contains 100,000+ question-answer pairs on 500+ articles.
+
+### Supported Tasks and Leaderboards
+
+Question Answering.
+
+### Languages
+
+English (`en`).
+
+## Dataset Structure
+
+### Data Instances
+
+#### plain_text
+
+- **Size of downloaded dataset files:** 35.14 MB
+- **Size of the generated dataset:** 89.92 MB
+- **Total amount of disk used:** 125.06 MB
+
+An example of 'train' looks as follows.
+```
+{
+    "answers": {
+        "answer_start": [1],
+        "text": ["This is a test text"]
+    },
+    "context": "This is a test context.",
+    "id": "1",
+    "question": "Is this a test?",
+    "title": "train test"
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### plain_text
+- `id`: a `string` feature.
+- `title`: a `string` feature.
+- `context`: a `string` feature.
+- `question`: a `string` feature.
+- `answers`: a dictionary feature containing:
+  - `text`: a `string` feature.
+  - `answer_start`: a `int32` feature.
+
+### Data Splits
+
+|   name   |train|validation|
+|----------|----:|---------:|
+|plain_text|87599|     10570|
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the source language producers?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the annotators?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Personal and Sensitive Information
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Discussion of Biases
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Other Known Limitations
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Licensing Information
+
+The dataset is distributed under the CC BY-SA 4.0 license.
+
+### Citation Information
+
+```
+@inproceedings{rajpurkar-etal-2016-squad,
+    title = "{SQ}u{AD}: 100,000+ Questions for Machine Comprehension of Text",
+    author = "Rajpurkar, Pranav  and
+      Zhang, Jian  and
+      Lopyrev, Konstantin  and
+      Liang, Percy",
+    editor = "Su, Jian  and
+      Duh, Kevin  and
+      Carreras, Xavier",
+    booktitle = "Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing",
+    month = nov,
+    year = "2016",
+    address = "Austin, Texas",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/D16-1264",
+    doi = "10.18653/v1/D16-1264",
+    pages = "2383--2392",
+    eprint={1606.05250},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL},
+}
+```
+
+
+### Contributions
+
+Thanks to [@lewtun](https://github.com/lewtun), [@albertvillanova](https://github.com/albertvillanova), [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf) for adding this dataset.

squad/plain_text/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea7f52bac024f6b1bdc7aaa2a4ee302cba8c2fdc8d4a235cf18a9a5196b6175b
+size 14458314

squad/plain_text/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c6646d36bd5a95061e076788cf3161d11f6f3e7d625dac7a83bbed0a49f69f7
+size 1819889