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MLP-Lemma/Instruct-datasets

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Hugging Face2024-05-13 更新2024-06-12 收录
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--- dataset_info: - config_name: BigPatent features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 1601754641 num_examples: 50000 download_size: 641124435 dataset_size: 1601754641 - config_name: BookSum features: - name: output dtype: string - name: context dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 254212252 num_examples: 9600 - name: validation num_bytes: 34236979 num_examples: 1484 - name: test num_bytes: 37939574 num_examples: 1431 download_size: 168552307 dataset_size: 326388805 - config_name: BoolQ features: - name: instruction dtype: string - name: context dtype: string - name: output dtype: string splits: - name: train num_bytes: 7114238 num_examples: 9427 - name: validation num_bytes: 2442220 num_examples: 3270 - name: test num_bytes: 2427795 num_examples: 3245 download_size: 6580560 dataset_size: 11984253 - config_name: CNN-DM features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 444284494.2583582 num_examples: 100000 - name: validation num_bytes: 58380052 num_examples: 13368 - name: test num_bytes: 50480704 num_examples: 11490 download_size: 333656188 dataset_size: 553145250.2583582 - config_name: CosmosQA features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 18371124 num_examples: 25262 - name: test num_bytes: 5500433 num_examples: 6963 - name: validation num_bytes: 2357043 num_examples: 2985 download_size: 10385528 dataset_size: 26228600 - config_name: DROP features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 13787339.92248062 num_examples: 10000 - name: validation num_bytes: 11717286 num_examples: 9535 download_size: 7737038 dataset_size: 25504625.92248062 - config_name: GovReport features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 954459414 num_examples: 17517 - name: validation num_bytes: 55883493 num_examples: 973 - name: test num_bytes: 51654524 num_examples: 973 download_size: 506640732 dataset_size: 1061997431 - config_name: HotpotQA features: - name: instruction dtype: string - name: output dtype: string - name: context sequence: string splits: - name: train num_bytes: 535762851 num_examples: 90447 - name: validation num_bytes: 44301953 num_examples: 7405 download_size: 341058415 dataset_size: 580064804 - config_name: LongAlpaca features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 432722520 num_examples: 8937 download_size: 150560798 dataset_size: 432722520 - config_name: MultiNews features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 560992073 num_examples: 44972 download_size: 323577415 dataset_size: 560992073 - 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 download_size: 1073538 dataset_size: 20144535.745879676 - config_name: NarrativeQA features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 11205217155 num_examples: 32747 download_size: 219398608 dataset_size: 11205217155 - config_name: QMsum features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 64540456 num_examples: 1257 download_size: 4106286 dataset_size: 64540456 - config_name: Qasper features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 66059761 num_examples: 2567 download_size: 11200886 dataset_size: 66059761 - config_name: Quality features: - name: instruction dtype: string - name: output dtype: string - name: context dtype: string splits: - name: train num_bytes: 63062210 num_examples: 2523 download_size: 3354424 dataset_size: 63062210 - config_name: ReCoRD features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 130993405 num_examples: 100730 - name: validation num_bytes: 12866110 num_examples: 10000 - name: test num_bytes: 12754476 num_examples: 10000 download_size: 65519961 dataset_size: 156613991 - config_name: SQuAD features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 80852411 num_examples: 87599 - name: validation num_bytes: 10506372 num_examples: 10570 download_size: 16200360 dataset_size: 91358783 - config_name: TriviaQA features: - name: instruction dtype: string - name: context dtype: string - name: output dtype: string splits: - name: train num_bytes: 3299873628 num_examples: 61888 - name: validation num_bytes: 424762536 num_examples: 7993 - name: test num_bytes: 405293513 num_examples: 7701 download_size: 2414090463 dataset_size: 4129929677 - config_name: XSum features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 242713691.097552 num_examples: 100000 - name: validation num_bytes: 27183291 num_examples: 11332 - name: test num_bytes: 27646656 num_examples: 11334 download_size: 182239672 dataset_size: 297543638.097552 configs: - config_name: BigPatent data_files: - split: train path: BigPatent/train-* - config_name: BookSum data_files: - split: train path: BookSum/train-* - split: validation path: BookSum/validation-* - split: test path: BookSum/test-* - config_name: BoolQ data_files: - split: train path: BoolQ/train-* - split: validation path: BoolQ/validation-* - split: test path: BoolQ/test-* - config_name: CNN-DM data_files: - split: train path: CNN-DM/train-* - split: validation path: CNN-DM/validation-* - split: test path: CNN-DM/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: GovReport data_files: - split: train path: GovReport/train-* - split: validation path: GovReport/validation-* - split: test path: GovReport/test-* - 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-* - config_name: NarrativeQA data_files: - split: train path: NarrativeQA/train-* - config_name: QMsum data_files: - split: train path: QMsum/train-* - config_name: Qasper data_files: - split: train path: Qasper/train-* - config_name: Quality data_files: - split: train path: Quality/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: 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 configuration name, features (context, output, instruction), and the splits (train, validation, test) with corresponding number of bytes and examples. Additionally, the download size and dataset size are specified for each dataset. The data files for each dataset are also listed, specifying the split and path.
提供机构：
MLP-Lemma
原始信息汇总

数据集概述

BigPatent

  • 特征:
    • context: string
    • output: string
    • instruction: string
  • 分割:
    • train: 50000 examples, 1601754641 bytes
  • 下载大小: 641124435 bytes
  • 数据集大小: 1601754641 bytes

BookSum

  • 特征:
    • output: string
    • context: string
    • instruction: string
  • 分割:
    • train: 9600 examples, 254212252 bytes
    • validation: 1484 examples, 34236979 bytes
    • test: 1431 examples, 37939574 bytes
  • 下载大小: 168552307 bytes
  • 数据集大小: 326388805 bytes

BoolQ

  • 特征:
    • instruction: string
    • context: string
    • output: string
  • 分割:
    • train: 9427 examples, 7114238 bytes
    • validation: 3270 examples, 2442220 bytes
    • test: 3245 examples, 2427795 bytes
  • 下载大小: 6580560 bytes
  • 数据集大小: 11984253 bytes

CNN-DM

  • 特征:
    • context: string
    • output: string
    • instruction: string
  • 分割:
    • train: 100000 examples, 444284494.2583582 bytes
    • validation: 13368 examples, 58380052 bytes
    • test: 11490 examples, 50480704 bytes
  • 下载大小: 333656188 bytes
  • 数据集大小: 553145250.2583582 bytes

CosmosQA

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 25262 examples, 18371124 bytes
    • validation: 2985 examples, 2357043 bytes
    • test: 6963 examples, 5500433 bytes
  • 下载大小: 10385528 bytes
  • 数据集大小: 26228600 bytes

DROP

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 10000 examples, 13787339.92248062 bytes
    • validation: 9535 examples, 11717286 bytes
  • 下载大小: 7737038 bytes
  • 数据集大小: 25504625.92248062 bytes

GovReport

  • 特征:
    • context: string
    • output: string
    • instruction: string
  • 分割:
    • train: 17517 examples, 954459414 bytes
    • validation: 973 examples, 55883493 bytes
    • test: 973 examples, 51654524 bytes
  • 下载大小: 506640732 bytes
  • 数据集大小: 1061997431 bytes

HotpotQA

  • 特征:
    • instruction: string
    • output: string
    • context: string
  • 分割:
    • train: 90447 examples, 535762851 bytes
    • validation: 7405 examples, 44301953 bytes
  • 下载大小: 341058415 bytes
  • 数据集大小: 580064804 bytes

LongAlpaca

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 8937 examples, 432722520 bytes
  • 下载大小: 150560798 bytes
  • 数据集大小: 432722520 bytes

MultiNews

  • 特征:
    • context: string
    • output: string
    • instruction: string
  • 分割:
    • train: 44972 examples, 560992073 bytes
  • 下载大小: 323577415 bytes
  • 数据集大小: 560992073 bytes

MultiRC

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 12025 examples, 20144535.745879676 bytes
  • 下载大小: 1073538 bytes
  • 数据集大小: 20144535.745879676 bytes

NarrativeQA

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 32747 examples, 11205217155 bytes
  • 下载大小: 219398608 bytes
  • 数据集大小: 11205217155 bytes

QMsum

  • 特征:
    • context: string
    • output: string
    • instruction: string
  • 分割:
    • train: 1257 examples, 64540456 bytes
  • 下载大小: 4106286 bytes
  • 数据集大小: 64540456 bytes

Qasper

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 2567 examples, 66059761 bytes
  • 下载大小: 11200886 bytes
  • 数据集大小: 66059761 bytes

Quality

  • 特征:
    • instruction: string
    • output: string
    • context: string
  • 分割:
    • train: 2523 examples, 63062210 bytes
  • 下载大小: 3354424 bytes
  • 数据集大小: 63062210 bytes

ReCoRD

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 100730 examples, 130993405 bytes
    • validation: 10000 examples, 12866110 bytes
    • test: 10000 examples, 12754476 bytes
  • 下载大小: 65519961 bytes
  • 数据集大小: 156613991 bytes

SQuAD

  • 特征:
    • context: string
    • instruction: string
    • output: string
  • 分割:
    • train: 87599 examples, 80852411 bytes
    • validation: 10570 examples, 10506372 bytes
  • 下载大小: 16200360 bytes
  • 数据集大小: 91358783 bytes

TriviaQA

  • 特征:
    • instruction: string
    • context: string
    • output: string
  • 分割:
    • train: 61888 examples, 3299873628 bytes
    • validation: 7993 examples, 424762536 bytes
    • test: 7701 examples, 405293513 bytes
  • 下载大小: 2414090463 bytes
  • 数据集大小: 4129929677 bytes

XSum

  • 特征:
    • context: string
    • output: string
    • instruction: string
  • 分割:
    • train: 100000 examples, 242713691.097552 bytes
    • validation: 11332 examples, 27183291 bytes
    • test: 11334 examples, 27646656 bytes
  • 下载大小: 182239672 bytes
  • 数据集大小: 297543638.097552 bytes
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