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mariosasko/glue

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Hugging Face2023-06-08 更新2024-03-04 收录
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https://hf-mirror.com/datasets/mariosasko/glue
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资源简介:
GLUE(通用语言理解评估基准)是一个用于训练、评估和分析自然语言理解系统的资源集合。它包含多个任务,如文本分类、自然语言推理和语义相似性评分。数据集为单语(英语),并遵循CC-BY-4.0许可。每个任务都有详细的配置,包括数据字段、分割和示例。

GLUE (General Language Understanding Evaluation benchmark) is a collection of resources for training, evaluating, and analyzing natural language understanding systems. It comprises multiple tasks such as text classification, natural language inference, and semantic similarity scoring. The dataset is monolingual (English) and licensed under CC-BY-4.0. Each task has detailed configurations covering data fields, data splits, and sample instances.
提供机构:
mariosasko
原始信息汇总

数据集概述

名称: GLUE (General Language Understanding Evaluation benchmark)

语言: 英语 (en)

许可证: CC-BY-4.0

多语言性: 单语种

大小类别: 10K<n<100K

源数据集: 原始

任务类别: 文本分类

任务ID:

  • acceptability-classification
  • natural-language-inference
  • semantic-similarity-scoring
  • sentiment-classification
  • text-scoring

配置:

  • ax
  • cola
  • mnli
  • mnli_matched
  • mnli_mismatched
  • mrpc
  • qnli
  • qqp
  • rte
  • sst2
  • stsb
  • wnli

数据集结构

数据实例

  • ax:

    • 特征: premise, hypothesis, label, idx
    • 示例: {"premise": "The cat sat on the mat.", "hypothesis": "The cat did not sit on the mat.", "label": -1, "idx": 0}
  • cola:

    • 特征: sentence, label, idx
    • 示例: {"sentence": "Our friends wont buy this analysis, let alone the next one we propose.", "label": 1, "id": 0}
  • mnli:

    • 特征: premise, hypothesis, label, idx
    • 示例: {"premise": "Conceptually cream skimming has two basic dimensions - product and geography.", "hypothesis": "Product and geography are what make cream skimming work.", "label": 1, "idx": 0}
  • mnli_matched:

    • 特征: premise, hypothesis, label, idx
    • 示例: {"premise": "Hierbas, ans seco, ans dulce, and frigola are just a few names worth keeping a look-out for.", "hypothesis": "Hierbas is a name worth looking out for.", "label": -1, "idx": 0}
  • mnli_mismatched:

    • 特征: premise, hypothesis, label, idx
    • 示例: {"premise": "What have you decided, what are you going to do?", "hypothesis": "So whats your decision?"}

数据字段

  • ax:

    • premise: 字符串
    • hypothesis: 字符串
    • label: 类别标签
    • idx: int32
  • cola:

    • sentence: 字符串
    • label: 类别标签
    • idx: int32
  • mnli:

    • premise: 字符串
    • hypothesis: 字符串
    • label: 类别标签
    • idx: int32
  • mnli_matched:

    • premise: 字符串
    • hypothesis: 字符串
    • label: 类别标签
    • idx: int32
  • mnli_mismatched:

    • premise: 字符串
    • hypothesis: 字符串
    • label: 类别标签
    • idx: int32

数据分割

  • ax:

    • 测试: 1104个示例
  • cola:

    • 测试: 1063个示例
    • 训练: 8551个示例
    • 验证: 1043个示例
  • mnli:

    • 测试_匹配: 9796个示例
    • 测试_不匹配: 9847个示例
    • 训练: 392702个示例
    • 验证_匹配: 9815个示例
    • 验证_不匹配: 9832个示例
  • mnli_matched:

    • 测试: 9796个示例
    • 验证: 9815个示例
  • mnli_mismatched:

    • 测试: 9847个示例
    • 验证: 9832个示例
搜集汇总
数据集介绍
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以上内容由遇见数据集搜集并总结生成
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