Referensi:
PencarianQA
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:multi_re_qa/SearchQA')
- Keterangan :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 3163801 |
'validation' | 454836 |
- Fitur :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
TriviaQA
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:multi_re_qa/TriviaQA')
- Keterangan :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 1893674 |
'validation' | 238339 |
- Fitur :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
HotpotQA
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:multi_re_qa/HotpotQA')
- Keterangan :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 508879 |
'validation' | 52191 |
- Fitur :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
Pasukan
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:multi_re_qa/SQuAD')
- Keterangan :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 95659 |
'validation' | 10642 |
- Fitur :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
Pertanyaan Alami
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:multi_re_qa/NaturalQuestions')
- Keterangan :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 448355 |
'validation' | 22118 |
- Fitur :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
BioASQ
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:multi_re_qa/BioASQ')
- Keterangan :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'test' | 14158 |
- Fitur :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
Ekstraksi Relasi
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:multi_re_qa/RelationExtraction')
- Keterangan :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'test' | 3301 |
- Fitur :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
Buku TeksQA
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:multi_re_qa/TextbookQA')
- Keterangan :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'test' | 71147 |
- Fitur :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
DuoRC
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:multi_re_qa/DuoRC')
- Keterangan :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'test' | 5525 |
- Fitur :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}