README.md

---
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.


> [!NOTE]
> 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