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
andtargets-3w
en-targets
: thetargets
column filtered with fasttext-langdetect foren
andscore
>= 0.65targets-3w
: thetargets
column filtered for 3 or more words