Referências:
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:asnq')
- Descrição :
ASNQ is a dataset for answer sentence selection derived from
Google's Natural Questions (NQ) dataset (Kwiatkowski et al. 2019).
Each example contains a question, candidate sentence, label indicating whether or not
the sentence answers the question, and two additional features --
sentence_in_long_answer and short_answer_in_sentence indicating whether ot not the
candidate sentence is contained in the long_answer and if the short_answer is in the candidate sentence.
For more details please see
https://arxiv.org/pdf/1911.04118.pdf
and
https://research.google/pubs/pub47761/
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'train' | 20377568 |
'validation' | 930062 |
- Características :
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"neg",
"pos"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"sentence_in_long_answer": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"short_answer_in_sentence": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}