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MLP-Lemma/SFT-datasets

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Hugging Face2024-05-08 更新2024-06-12 收录
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资源简介:
--- dataset_info: - config_name: BoolQ features: - name: instruction dtype: string - name: context dtype: string - name: output dtype: string splits: - name: train num_bytes: 7096485 num_examples: 9427 - name: validation num_bytes: 2435718 num_examples: 3270 - name: test num_bytes: 2425153 num_examples: 3245 download_size: 6587773 dataset_size: 11957356 - config_name: CosmosQA features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 10684756 num_examples: 25262 - name: test num_bytes: 3150505 num_examples: 6963 - name: validation num_bytes: 1348959 num_examples: 2985 download_size: 6906818 dataset_size: 15184220 - config_name: DROP features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 100026971 num_examples: 77400 - name: validation num_bytes: 10893643 num_examples: 9535 download_size: 8091770 dataset_size: 110920614 - config_name: HotpotQA features: - name: instruction dtype: string - name: output dtype: string - name: context sequence: string splits: - name: train num_bytes: 534870557 num_examples: 90447 - name: validation num_bytes: 44228449 num_examples: 7405 download_size: 338345809 dataset_size: 579099006 - config_name: LongAlpaca features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 404591757.0886667 num_examples: 9956 download_size: 262150939 dataset_size: 404591757.0886667 - config_name: MultiNews features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 560860212 num_examples: 44972 download_size: 323585169 dataset_size: 560860212 - config_name: MultiRC features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 20144535.745879676 num_examples: 12025 - name: validation num_bytes: 3277067.0173267326 num_examples: 2075 - name: test num_bytes: 0.0 num_examples: 0 download_size: 1276036 dataset_size: 23421602.763206407 - config_name: NewsQA features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 220213756 num_examples: 71559 download_size: 23399407 dataset_size: 220213756 - config_name: QMSum features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 64407583 num_examples: 1257 download_size: 4090877 dataset_size: 64407583 - config_name: ReCoRD features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 130895292 num_examples: 100730 - name: validation num_bytes: 12856297 num_examples: 10000 - name: test num_bytes: 12744346 num_examples: 10000 download_size: 65507164 dataset_size: 156495935 - config_name: SQuAD features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 74256565 num_examples: 87599 - name: validation num_bytes: 9710151 num_examples: 10570 download_size: 15027476 dataset_size: 83966716 - config_name: TriviaQA features: - name: instruction dtype: string - name: context dtype: string - name: output dtype: string splits: - name: train num_bytes: 3294958826 num_examples: 61888 - name: validation num_bytes: 424127867 num_examples: 7993 - name: test num_bytes: 404679646 num_examples: 7701 download_size: 2398418943 dataset_size: 4123766339 - config_name: booksum features: - name: output dtype: string - name: context dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 254202726 num_examples: 9600 - name: validation num_bytes: 34235554 num_examples: 1484 - name: test num_bytes: 37938179 num_examples: 1431 download_size: 168553619 dataset_size: 326376459 - config_name: cnn features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 1274021763 num_examples: 287113 - name: validation num_bytes: 58305730 num_examples: 13368 - name: test num_bytes: 50418397 num_examples: 11490 download_size: 824633386 dataset_size: 1382745890 - config_name: qasper features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 26224641 num_examples: 1031 download_size: 7705854 dataset_size: 26224641 - config_name: xsum features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 494830320 num_examples: 204045 - name: validation num_bytes: 27159343 num_examples: 11332 - name: test num_bytes: 27624033 num_examples: 11334 download_size: 336535468 dataset_size: 549613696 configs: - config_name: BoolQ data_files: - split: train path: BoolQ/train-* - split: validation path: BoolQ/validation-* - split: test path: BoolQ/test-* - config_name: CosmosQA data_files: - split: train path: CosmosQA/train-* - split: test path: CosmosQA/test-* - split: validation path: CosmosQA/validation-* - config_name: DROP data_files: - split: train path: DROP/train-* - split: validation path: DROP/validation-* - config_name: HotpotQA data_files: - split: train path: HotpotQA/train-* - split: validation path: HotpotQA/validation-* - config_name: LongAlpaca data_files: - split: train path: LongAlpaca/train-* - config_name: MultiNews data_files: - split: train path: MultiNews/train-* - config_name: MultiRC data_files: - split: train path: MultiRC/train-* - split: validation path: MultiRC/validation-* - split: test path: MultiRC/test-* - config_name: NewsQA data_files: - split: train path: NewsQA/train-* - config_name: QMSum data_files: - split: train path: QMSum/train-* - config_name: ReCoRD data_files: - split: train path: ReCoRD/train-* - split: validation path: ReCoRD/validation-* - split: test path: ReCoRD/test-* - config_name: SQuAD data_files: - split: train path: SQuAD/train-* - split: validation path: SQuAD/validation-* - config_name: TriviaQA data_files: - split: train path: TriviaQA/train-* - split: validation path: TriviaQA/validation-* - split: test path: TriviaQA/test-* - config_name: booksum data_files: - split: train path: booksum/train-* - split: validation path: booksum/validation-* - split: test path: booksum/test-* - config_name: cnn data_files: - split: train path: cnn/train-* - split: validation path: cnn/validation-* - split: test path: cnn/test-* - config_name: qasper data_files: - split: train path: qasper/train-* - config_name: xsum data_files: - split: train path: xsum/train-* - split: validation path: xsum/validation-* - split: test path: xsum/test-* ---

The provided README content lists multiple datasets, each with specific configurations, features, and splits. Each dataset includes details such as the number of bytes, number of examples, and paths for different splits (train, validation, test). The features typically include instruction, context, and output, all of which are of string data type. The datasets vary in size and number of examples, indicating diversity in their applications and purposes.
提供机构:
MLP-Lemma
原始信息汇总

数据集概述

1. BoolQ

  • 特征:
    • instruction: string
    • context: string
    • output: string
  • 分割:
    • train: 9427 examples, 7096485 bytes
    • validation: 3270 examples, 2435718 bytes
    • test: 3245 examples, 2425153 bytes
  • 下载大小: 6587773 bytes
  • 数据集大小: 11957356 bytes

2. CosmosQA

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 25262 examples, 10684756 bytes
    • test: 6963 examples, 3150505 bytes
    • validation: 2985 examples, 1348959 bytes
  • 下载大小: 6906818 bytes
  • 数据集大小: 15184220 bytes

3. DROP

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 77400 examples, 100026971 bytes
    • validation: 9535 examples, 10893643 bytes
  • 下载大小: 8091770 bytes
  • 数据集大小: 110920614 bytes

4. HotpotQA

  • 特征:
    • instruction: string
    • output: string
    • context: string
  • 分割:
    • train: 90447 examples, 534870557 bytes
    • validation: 7405 examples, 44228449 bytes
  • 下载大小: 338345809 bytes
  • 数据集大小: 579099006 bytes

5. LongAlpaca

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 9956 examples, 404591757.0886667 bytes
  • 下载大小: 262150939 bytes
  • 数据集大小: 404591757.0886667 bytes

6. MultiNews

  • 特征:
    • context: string
    • output: string
    • instruction: string
  • 分割:
    • train: 44972 examples, 560860212 bytes
  • 下载大小: 323585169 bytes
  • 数据集大小: 560860212 bytes

7. MultiRC

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 12025 examples, 20144535.745879676 bytes
    • validation: 2075 examples, 3277067.0173267326 bytes
    • test: 0 examples, 0 bytes
  • 下载大小: 1276036 bytes
  • 数据集大小: 23421602.763206407 bytes

8. NewsQA

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 71559 examples, 220213756 bytes
  • 下载大小: 23399407 bytes
  • 数据集大小: 220213756 bytes

9. QMSum

  • 特征:
    • context: string
    • output: string
    • instruction: string
  • 分割:
    • train: 1257 examples, 64407583 bytes
  • 下载大小: 4090877 bytes
  • 数据集大小: 64407583 bytes

10. ReCoRD

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 100730 examples, 130895292 bytes
    • validation: 10000 examples, 12856297 bytes
    • test: 10000 examples, 12744346 bytes
  • 下载大小: 65507164 bytes
  • 数据集大小: 156495935 bytes

11. SQuAD

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 87599 examples, 74256565 bytes
    • validation: 10570 examples, 9710151 bytes
  • 下载大小: 15027476 bytes
  • 数据集大小: 83966716 bytes

12. TriviaQA

  • 特征:
    • instruction: string
    • context: string
    • output: string
  • 分割:
    • train: 61888 examples, 3294958826 bytes
    • validation: 7993 examples, 424127867 bytes
    • test: 7701 examples, 404679646 bytes
  • 下载大小: 2398418943 bytes
  • 数据集大小: 4123766339 bytes

13. booksum

  • 特征:
    • output: string
    • context: string
    • instruction: string
  • 分割:
    • train: 9600 examples, 254202726 bytes
    • validation: 1484 examples, 34235554 bytes
    • test: 1431 examples, 37938179 bytes
  • 下载大小: 168553619 bytes
  • 数据集大小: 326376459 bytes

14. cnn

  • 特征:
    • context: string
    • output: string
    • instruction: string
  • 分割:
    • train: 287113 examples, 1274021763 bytes
    • validation: 13368 examples, 58305730 bytes
    • test: 11490 examples, 50418397 bytes
  • 下载大小: 824633386 bytes
  • 数据集大小: 1382745890 bytes

15. qasper

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 1031 examples, 26224641 bytes
  • 下载大小: 7705854 bytes
  • 数据集大小: 26224641 bytes

16. xsum

  • 特征:
    • context: string
    • output: string
    • instruction: string
  • 分割:
    • train: 204045 examples, 494830320 bytes
    • validation: 11332 examples, 27159343 bytes
    • test: 11334 examples, 27624033 bytes
  • 下载大小: 336535468 bytes
  • 数据集大小: 549613696 bytes
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