Datasets:

Modalities:
Text
Formats:
parquet
Languages:
English
Libraries:
Datasets
Dask
License:
flan-v2-hf / README.md
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metadata
license: odc-by
size_categories:
  - 100M<n<1B
task_categories:
  - text2text-generation
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
  - config_name: en-targets
    data_files:
      - split: train
        path: en-targets/train-*
  - config_name: targets-3w
    data_files:
      - split: train
        path: targets-3w/train-*
dataset_info:
  - config_name: default
    features:
      - name: inputs
        dtype: string
      - name: targets
        dtype: string
      - name: task
        dtype: string
    splits:
      - name: train
        num_bytes: 427709950401
        num_examples: 395854147
    download_size: 254164161252
    dataset_size: 427709950401
  - config_name: en-targets
    features:
      - name: inputs
        dtype: string
      - name: targets
        dtype: string
      - name: task
        dtype: string
    splits:
      - name: train
        num_bytes: 205684772659.05002
        num_examples: 190365387
    download_size: 144460916320
    dataset_size: 205684772659.05002
  - config_name: targets-3w
    features:
      - name: inputs
        dtype: string
      - name: targets
        dtype: string
      - name: task
        dtype: string
    splits:
      - name: train
        num_bytes: 250981260504.2578
        num_examples: 232288196
    download_size: 162299989257
    dataset_size: 250981260504.2578
language:
  - en

flan-v2: hf datasets format

https://hf.co/datasets/philschmid/flanv2 directly loaded into hf datasets parquet files for easier streaming, etc.

There are two other configs besides the default, en-targets and targets-3w

  • en-targets: the targets column filtered with fasttext-langdetect for en and score >= 0.65
  • targets-3w: the targets column filtered for 3 or more words