Referencje:
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:youtube_caption_corrections')
- Opis :
Dataset built from pairs of YouTube captions where both 'auto-generated' and
'manually-corrected' captions are available for a single specified language.
This dataset labels two-way (e.g. ignoring single-sided insertions) same-length
token differences in the `diff_type` column. The `default_seq` is composed of
tokens from the 'auto-generated' captions. When a difference occurs between
the 'auto-generated' vs 'manually-corrected' captions types, the `correction_seq`
contains tokens from the 'manually-corrected' captions.
- Licencja : Licencja MIT
- Wersja : 0.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 10769 |
- Cechy :
{
"video_ids": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"default_seq": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"correction_seq": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"diff_type": {
"feature": {
"num_classes": 9,
"names": [
"NO_DIFF",
"CASE_DIFF",
"PUNCUATION_DIFF",
"CASE_AND_PUNCUATION_DIFF",
"STEM_BASED_DIFF",
"DIGIT_DIFF",
"INTRAWORD_PUNC_DIFF",
"UNKNOWN_TYPE_DIFF",
"RESERVED_DIFF"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}