Referensi:
triviaqa_support_only
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/triviaqa_support_only')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 6586 |
'train' | 61844 |
'validation' | 5359 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}
demam
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/fever')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 10100 |
'train' | 104966 |
'validation' | 10444 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}
adayago2
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/aidayago2')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 4463 |
'train' | 18395 |
'validation' | 4784 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}
hilang
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/wned')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 3376 |
'validation' | 3396 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}
web
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/cweb')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 5543 |
'validation' | 5599 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}
trex
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/trex')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 5000 |
'train' | 2284168 |
'validation' | 5000 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}
terstruktur_zeroshot
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/structured_zeroshot')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 4966 |
'train' | 147909 |
'validation' | 3724 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}
nq
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/nq')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 1444 |
'train' | 87372 |
'validation' | 2837 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}
hotpotqa.dll
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/hotpotqa')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 5569 |
'train' | 88869 |
'validation' | 5600 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}
eli5
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/eli5')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 600 |
'train' | 272634 |
'validation' | 1507 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}
Wow
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:kilt_tasks/wow')
- Keterangan :
KILT tasks training and evaluation data.
- [FEVER](https://fever.ai) | Fact Checking | fever
- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 2944 |
'train' | 63734 |
'validation' | 3054 |
- Fitur :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"left_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"mention": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"right_context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partial_evidence": [
{
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
}
],
"obj_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"sub_surface": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"subj_aliases": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"template_questions": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"output": [
{
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meta": {
"score": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"provenance": [
{
"bleu_score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"meta": {
"fever_page_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"fever_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"annotation_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"yes_no_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_span": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
},
"section": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"wikipedia_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
]
}