Duplicate from clue/clue

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README.md

@@ -0,0 +1,876 @@
+---
+annotations_creators:
+- other
+language_creators:
+- other
+language:
+- zh
+license:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 100K<n<1M
+source_datasets:
+- original
+task_categories:
+- text-classification
+- multiple-choice
+task_ids:
+- topic-classification
+- semantic-similarity-scoring
+- natural-language-inference
+- multiple-choice-qa
+paperswithcode_id: clue
+pretty_name: 'CLUE: Chinese Language Understanding Evaluation benchmark'
+tags:
+- coreference-nli
+- qa-nli
+dataset_info:
+- config_name: afqmc
+  features:
+  - name: sentence1
+    dtype: string
+  - name: sentence2
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': '0'
+          '1': '1'
+  - name: idx
+    dtype: int32
+  splits:
+  - name: test
+    num_bytes: 378718
+    num_examples: 3861
+  - name: train
+    num_bytes: 3396503
+    num_examples: 34334
+  - name: validation
+    num_bytes: 426285
+    num_examples: 4316
+  download_size: 2337418
+  dataset_size: 4201506
+- config_name: c3
+  features:
+  - name: id
+    dtype: int32
+  - name: context
+    sequence: string
+  - name: question
+    dtype: string
+  - name: choice
+    sequence: string
+  - name: answer
+    dtype: string
+  splits:
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+    num_bytes: 1600142
+    num_examples: 1625
+  - name: train
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+    num_examples: 11869
+  - name: validation
+    num_bytes: 2990943
+    num_examples: 3816
+  download_size: 4718960
+  dataset_size: 14263824
+- config_name: chid
+  features:
+  - name: idx
+    dtype: int32
+  - name: candidates
+    sequence: string
+  - name: content
+    sequence: string
+  - name: answers
+    sequence:
+    - name: text
+      dtype: string
+    - name: candidate_id
+      dtype: int32
+  splits:
+  - name: test
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+    num_examples: 3447
+  - name: train
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+    num_examples: 84709
+  - name: validation
+    num_bytes: 10117761
+    num_examples: 3218
+  download_size: 198468807
+  dataset_size: 274076122
+- config_name: cluewsc2020
+  features:
+  - name: idx
+    dtype: int32
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': 'true'
+          '1': 'false'
+  - name: target
+    struct:
+    - name: span1_text
+      dtype: string
+    - name: span2_text
+      dtype: string
+    - name: span1_index
+      dtype: int32
+    - name: span2_index
+      dtype: int32
+  splits:
+  - name: test
+    num_bytes: 645637
+    num_examples: 2574
+  - name: train
+    num_bytes: 288816
+    num_examples: 1244
+  - name: validation
+    num_bytes: 72670
+    num_examples: 304
+  download_size: 380611
+  dataset_size: 1007123
+- config_name: cmnli
+  features:
+  - name: sentence1
+    dtype: string
+  - name: sentence2
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': neutral
+          '1': entailment
+          '2': contradiction
+  - name: idx
+    dtype: int32
+  splits:
+  - name: test
+    num_bytes: 2386821
+    num_examples: 13880
+  - name: train
+    num_bytes: 67684989
+    num_examples: 391783
+  - name: validation
+    num_bytes: 2051829
+    num_examples: 12241
+  download_size: 54234919
+  dataset_size: 72123639
+- config_name: cmrc2018
+  features:
+  - name: id
+    dtype: string
+  - name: context
+    dtype: string
+  - name: question
+    dtype: string
+  - name: answers
+    sequence:
+    - name: text
+      dtype: string
+    - name: answer_start
+      dtype: int32
+  splits:
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+  - name: train
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+  - name: validation
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+    num_examples: 3219
+  - name: trial
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+    num_examples: 1002
+  download_size: 5459001
+  dataset_size: 25410796
+- config_name: csl
+  features:
+  - name: idx
+    dtype: int32
+  - name: corpus_id
+    dtype: int32
+  - name: abst
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': '0'
+          '1': '1'
+  - name: keyword
+    sequence: string
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+    num_examples: 3000
+  - name: train
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+    num_examples: 20000
+  - name: validation
+    num_bytes: 2464563
+    num_examples: 3000
+  download_size: 3936111
+  dataset_size: 21407181
+- config_name: diagnostics
+  features:
+  - name: sentence1
+    dtype: string
+  - name: sentence2
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': neutral
+          '1': entailment
+          '2': contradiction
+  - name: idx
+    dtype: int32
+  splits:
+  - name: test
+    num_bytes: 42392
+    num_examples: 514
+  download_size: 23000
+  dataset_size: 42392
+- config_name: drcd
+  features:
+  - name: id
+    dtype: string
+  - name: context
+    dtype: string
+  - name: question
+    dtype: string
+  - name: answers
+    sequence:
+    - name: text
+      dtype: string
+    - name: answer_start
+      dtype: int32
+  splits:
+  - name: test
+    num_bytes: 4982378
+    num_examples: 3493
+  - name: train
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+    num_examples: 26936
+  - name: validation
+    num_bytes: 5222729
+    num_examples: 3524
+  download_size: 11188875
+  dataset_size: 47648493
+- config_name: iflytek
+  features:
+  - name: sentence
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': '0'
+          '1': '1'
+          '2': '2'
+          '3': '3'
+          '4': '4'
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+          '6': '6'
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+          '45': '45'
+          '46': '46'
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+          '49': '49'
+          '50': '50'
+          '51': '51'
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+          '118': '118'
+  - name: idx
+    dtype: int32
+  splits:
+  - name: test
+    num_bytes: 2105684
+    num_examples: 2600
+  - name: train
+    num_bytes: 10028605
+    num_examples: 12133
+  - name: validation
+    num_bytes: 2157119
+    num_examples: 2599
+  download_size: 9777855
+  dataset_size: 14291408
+- config_name: ocnli
+  features:
+  - name: sentence1
+    dtype: string
+  - name: sentence2
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': neutral
+          '1': entailment
+          '2': contradiction
+  - name: idx
+    dtype: int32
+  splits:
+  - name: test
+    num_bytes: 376058
+    num_examples: 3000
+  - name: train
+    num_bytes: 6187142
+    num_examples: 50437
+  - name: validation
+    num_bytes: 366227
+    num_examples: 2950
+  download_size: 3000218
+  dataset_size: 6929427
+- config_name: tnews
+  features:
+  - name: sentence
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': '100'
+          '1': '101'
+          '2': '102'
+          '3': '103'
+          '4': '104'
+          '5': '106'
+          '6': '107'
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+          '9': '110'
+          '10': '112'
+          '11': '113'
+          '12': '114'
+          '13': '115'
+          '14': '116'
+  - name: idx
+    dtype: int32
+  splits:
+  - name: test
+    num_bytes: 810970
+    num_examples: 10000
+  - name: train
+    num_bytes: 4245677
+    num_examples: 53360
+  - name: validation
+    num_bytes: 797922
+    num_examples: 10000
+  download_size: 4697843
+  dataset_size: 5854569
+configs:
+- config_name: afqmc
+  data_files:
+  - split: test
+    path: afqmc/test-*
+  - split: train
+    path: afqmc/train-*
+  - split: validation
+    path: afqmc/validation-*
+- config_name: c3
+  data_files:
+  - split: test
+    path: c3/test-*
+  - split: train
+    path: c3/train-*
+  - split: validation
+    path: c3/validation-*
+- config_name: chid
+  data_files:
+  - split: test
+    path: chid/test-*
+  - split: train
+    path: chid/train-*
+  - split: validation
+    path: chid/validation-*
+- config_name: cluewsc2020
+  data_files:
+  - split: test
+    path: cluewsc2020/test-*
+  - split: train
+    path: cluewsc2020/train-*
+  - split: validation
+    path: cluewsc2020/validation-*
+- config_name: cmnli
+  data_files:
+  - split: test
+    path: cmnli/test-*
+  - split: train
+    path: cmnli/train-*
+  - split: validation
+    path: cmnli/validation-*
+- config_name: cmrc2018
+  data_files:
+  - split: test
+    path: cmrc2018/test-*
+  - split: train
+    path: cmrc2018/train-*
+  - split: validation
+    path: cmrc2018/validation-*
+  - split: trial
+    path: cmrc2018/trial-*
+- config_name: csl
+  data_files:
+  - split: test
+    path: csl/test-*
+  - split: train
+    path: csl/train-*
+  - split: validation
+    path: csl/validation-*
+- config_name: diagnostics
+  data_files:
+  - split: test
+    path: diagnostics/test-*
+- config_name: drcd
+  data_files:
+  - split: test
+    path: drcd/test-*
+  - split: train
+    path: drcd/train-*
+  - split: validation
+    path: drcd/validation-*
+- config_name: iflytek
+  data_files:
+  - split: test
+    path: iflytek/test-*
+  - split: train
+    path: iflytek/train-*
+  - split: validation
+    path: iflytek/validation-*
+- config_name: ocnli
+  data_files:
+  - split: test
+    path: ocnli/test-*
+  - split: train
+    path: ocnli/train-*
+  - split: validation
+    path: ocnli/validation-*
+- config_name: tnews
+  data_files:
+  - split: test
+    path: tnews/test-*
+  - split: train
+    path: tnews/train-*
+  - split: validation
+    path: tnews/validation-*
+---
+
+# Dataset Card for "clue"
+
+## 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)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [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://www.cluebenchmarks.com
+- **Repository:** https://github.com/CLUEbenchmark/CLUE
+- **Paper:** [CLUE: A Chinese Language Understanding Evaluation Benchmark](https://aclanthology.org/2020.coling-main.419/)
+- **Paper:** https://arxiv.org/abs/2004.05986
+- **Point of Contact:** [Zhenzhong Lan](mailto:lanzhenzhong@westlake.edu.cn)
+- **Size of downloaded dataset files:** 198.68 MB
+- **Size of the generated dataset:** 486.34 MB
+- **Total amount of disk used:** 685.02 MB
+
+### Dataset Summary
+
+CLUE, A Chinese Language Understanding Evaluation Benchmark
+(https://www.cluebenchmarks.com/) is a collection of resources for training,
+evaluating, and analyzing Chinese language understanding systems.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Languages
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Dataset Structure
+
+### Data Instances
+
+#### afqmc
+
+- **Size of downloaded dataset files:** 1.20 MB
+- **Size of the generated dataset:** 4.20 MB
+- **Total amount of disk used:** 5.40 MB
+
+An example of 'validation' looks as follows.
+```
+{
+    "idx": 0,
+    "label": 0,
+    "sentence1": "双十一花呗提额在哪",
+    "sentence2": "里可以提花呗额度"
+}
+```
+
+#### c3
+
+- **Size of downloaded dataset files:** 3.20 MB
+- **Size of the generated dataset:** 15.69 MB
+- **Total amount of disk used:** 18.90 MB
+
+An example of 'train' looks as follows.
+```
+This example was too long and was cropped:
+
+{
+    "answer": "比人的灵敏",
+    "choice": ["没有人的灵敏", "和人的差不多", "和人的一样好", "比人的灵敏"],
+    "context": "[\"许多动物的某些器官感觉特别灵敏，它们能比人类提前知道一些灾害事件的发生，例如，海洋中的水母能预报风暴，老鼠能事先躲避矿井崩塌或有害气体，等等。地震往往能使一些动物的某些感觉器官受到刺激而发生异常反应。如一个地区的重力发生变异，某些动物可能通过它们的平衡...",
+    "id": 1,
+    "question": "动物的器官感觉与人的相比有什么不同?"
+}
+```
+
+#### chid
+
+- **Size of downloaded dataset files:** 139.20 MB
+- **Size of the generated dataset:** 274.08 MB
+- **Total amount of disk used:** 413.28 MB
+
+An example of 'train' looks as follows.
+```
+This example was too long and was cropped:
+
+{
+    "answers": {
+        "candidate_id": [3, 5, 6, 1, 7, 4, 0],
+        "text": ["碌碌无为", "无所作为", "苦口婆心", "得过且过", "未雨绸缪", "软硬兼施", "传宗接代"]
+    },
+    "candidates": "[\"传宗接代\", \"得过且过\", \"咄咄逼人\", \"碌碌无为\", \"软硬兼施\", \"无所作为\", \"苦口婆心\", \"未雨绸缪\", \"和衷共济\", \"人老珠黄\"]...",
+    "content": "[\"谈到巴萨目前的成就，瓜迪奥拉用了“坚持”两个字来形容。自从上世纪90年代克鲁伊夫带队以来，巴萨就坚持每年都有拉玛西亚球员进入一队的传统。即便是范加尔时代，巴萨强力推出的“巴萨五鹰”德拉·佩纳、哈维、莫雷罗、罗杰·加西亚和贝拉乌桑几乎#idiom0000...",
+    "idx": 0
+}
+```
+
+#### cluewsc2020
+
+- **Size of downloaded dataset files:** 0.28 MB
+- **Size of the generated dataset:** 1.03 MB
+- **Total amount of disk used:** 1.29 MB
+
+An example of 'train' looks as follows.
+```
+{
+    "idx": 0,
+    "label": 1,
+    "target": {
+        "span1_index": 3,
+        "span1_text": "伤口",
+        "span2_index": 27,
+        "span2_text": "它们"
+    },
+    "text": "裂开的伤口涂满尘土，里面有碎石子和木头刺，我小心翼翼把它们剔除出去。"
+}
+```
+
+#### cmnli
+
+- **Size of downloaded dataset files:** 31.40 MB
+- **Size of the generated dataset:** 72.12 MB
+- **Total amount of disk used:** 103.53 MB
+
+An example of 'train' looks as follows.
+```
+{
+    "idx": 0,
+    "label": 0,
+    "sentence1": "从概念上讲，奶油略读有两个基本维度-产品和地理。",
+    "sentence2": "产品和地理位置是使奶油撇油起作用的原因。"
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### afqmc
+- `sentence1`: a `string` feature.
+- `sentence2`: a `string` feature.
+- `label`: a classification label, with possible values including `0` (0), `1` (1).
+- `idx`: a `int32` feature.
+
+#### c3
+- `id`: a `int32` feature.
+- `context`: a `list` of `string` features.
+- `question`: a `string` feature.
+- `choice`: a `list` of `string` features.
+- `answer`: a `string` feature.
+
+#### chid
+- `idx`: a `int32` feature.
+- `candidates`: a `list` of `string` features.
+- `content`: a `list` of `string` features.
+- `answers`: a dictionary feature containing:
+  - `text`: a `string` feature.
+  - `candidate_id`: a `int32` feature.
+
+#### cluewsc2020
+- `idx`: a `int32` feature.
+- `text`: a `string` feature.
+- `label`: a classification label, with possible values including `true` (0), `false` (1).
+- `span1_text`: a `string` feature.
+- `span2_text`: a `string` feature.
+- `span1_index`: a `int32` feature.
+- `span2_index`: a `int32` feature.
+
+#### cmnli
+- `sentence1`: a `string` feature.
+- `sentence2`: a `string` feature.
+- `label`: a classification label, with possible values including `neutral` (0), `entailment` (1), `contradiction` (2).
+- `idx`: a `int32` feature.
+
+### Data Splits
+
+|   name    |train |validation|test |
+|-----------|-----:|---------:|----:|
+|afqmc      | 34334|      4316| 3861|
+|c3         | 11869|      3816| 3892|
+|chid       | 84709|      3218| 3231|
+|cluewsc2020|  1244|       304|  290|
+|cmnli      |391783|     12241|13880|
+
+## 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
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Citation Information
+
+```
+@inproceedings{xu-etal-2020-clue,
+    title = "{CLUE}: A {C}hinese Language Understanding Evaluation Benchmark",
+    author = "Xu, Liang  and
+      Hu, Hai  and
+      Zhang, Xuanwei  and
+      Li, Lu  and
+      Cao, Chenjie  and
+      Li, Yudong  and
+      Xu, Yechen  and
+      Sun, Kai  and
+      Yu, Dian  and
+      Yu, Cong  and
+      Tian, Yin  and
+      Dong, Qianqian  and
+      Liu, Weitang  and
+      Shi, Bo  and
+      Cui, Yiming  and
+      Li, Junyi  and
+      Zeng, Jun  and
+      Wang, Rongzhao  and
+      Xie, Weijian  and
+      Li, Yanting  and
+      Patterson, Yina  and
+      Tian, Zuoyu  and
+      Zhang, Yiwen  and
+      Zhou, He  and
+      Liu, Shaoweihua  and
+      Zhao, Zhe  and
+      Zhao, Qipeng  and
+      Yue, Cong  and
+      Zhang, Xinrui  and
+      Yang, Zhengliang  and
+      Richardson, Kyle  and
+      Lan, Zhenzhong",
+    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
+    month = dec,
+    year = "2020",
+    address = "Barcelona, Spain (Online)",
+    publisher = "International Committee on Computational Linguistics",
+    url = "https://aclanthology.org/2020.coling-main.419",
+    doi = "10.18653/v1/2020.coling-main.419",
+    pages = "4762--4772",
+}
+```
+
+
+### Contributions
+
+Thanks to [@thomwolf](https://github.com/thomwolf), [@JetRunner](https://github.com/JetRunner) for adding this dataset.

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