LongICLBench / README.md
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metadata
license: mit
dataset_info:
  features:
    - name: 1 Round Prompt
      dtype: string
    - name: 2 Round Prompt
      dtype: string
    - name: 3 Round Prompt
      dtype: string
    - name: 4 Round Prompt
      dtype: string
    - name: 5 Round Prompt
      dtype: string
    - name: label
      dtype: string
  splits:
    - name: GoEmotion
      num_bytes: 22269392
      num_examples: 500
    - name: BANKING77
      num_bytes: 63903578
      num_examples: 500
    - name: FewNERD
      num_bytes: 117612568
      num_examples: 500
    - name: TacRED
      num_bytes: 35790846
      num_examples: 500
    - name: Discovery
      num_bytes: 353082806
      num_examples: 500
    - name: DialogRE
      num_bytes: 35512103
      num_examples: 118
  download_size: 281420232
  dataset_size: 628171293
configs:
  - config_name: default
    data_files:
      - split: GoEmotion
        path: data/GoEmotion-*
      - split: BANKING77
        path: data/BANKING77-*
      - split: FewNERD
        path: data/FewNERD-*
      - split: TacRED
        path: data/TacRED-*
      - split: Discovery
        path: data/Discovery-*
      - split: DialogRE
        path: data/DialogRE-*

This is the benchmark we adopt in Long-context LLMs Struggle with Long In-context Learning. Check out our leaderboard at https://huggingface.co/spaces/TIGER-Lab/LongICL-Leaderboard.