Datasets:
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K - 100K
License:
Update README.md
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README.md
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- monolingual
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task_ids:
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- extractive-qa
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paperswithcode_id: nlquad-a-non-factoid-long-question-answering
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dataset_info:
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features:
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- name: title
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## Dataset Description
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- **Repository: [
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- **Paper:[
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### Dataset Summary
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#### plain_text
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An example of 'train' looks as follows.
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```
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}
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```
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The data fields are the same among all splits.
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#### plain_text
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- `id`: a `string` feature.
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- `title`: a `string` feature.
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### Data Splits
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| name |train|test|validation|
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|----------|----:|----:|---------:|
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|plain_text|
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## Additional Information
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### Citation Information
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BibTeX
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@inproceedings{soleimani-etal-2021-nlquad,
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title = "{NLQ}u{AD}: A Non-Factoid Long Question Answering Data Set",
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author = "Soleimani, Amir and
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- monolingual
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task_ids:
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- extractive-qa
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dataset_info:
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features:
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- name: title
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## Dataset Description
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- **Repository: [https://github.com/ASoleimaniB/NLQuAD](https://github.com/ASoleimaniB/NLQuAD)**
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- **Paper:[https://aclanthology.org/2021.eacl-main.106/](https://aclanthology.org/2021.eacl-main.106/)**
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### Dataset Summary
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#### plain_text
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An example of 'train' looks as follows.
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```json
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{
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"title": "Khashoggi murder: Body 'dissolved in acid'",
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"date": "2 November 2018",
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"paragraphs":[
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{
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"context": "A top Turkish official, presidential adviser Yasin Aktay, has said ....",
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"qas":[
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{
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"question":"What was said in the crown prince's alleged phone call?",
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"id":"0_0",
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"answers":[
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{
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"text":"During the call with President Donald Trump\'s son-in-law Jared Kushner and national ....",
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"answer_start":1352,
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"answer_end": 2108,
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}
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]
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},
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{
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"question":'What has the investigation found so far?',
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"id":"0_1",
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"answers":[
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{
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"text":"There is still no consensus on how Khashoggi died. He entered ....",
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"answer_start":2109,
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"answer_end": 3128,
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}
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]
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},
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]
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}
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]
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}
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```
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The data fields are the same among all splits.
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#### plain_text
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- `title`: a `string` feature.
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- `date`: a `string` feature.
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- `paragraphs`: a list feature containing dictionaries:
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- `context`: a `string` feature.
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- `qas`: a list feature containing dictionaries:
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- `question`: a `string` feature.
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- `id`: a `string` feature.
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- `answers`: a list feature containing dictionaries:
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- `text`: a `string` feature.
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- `answer_start`: a `int32` feature.
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- `answer_end`: a `int32` feature
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-
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### Data Splits
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| name |train|test|validation|
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|----------|----:|----:|---------:|
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|plain_text|10259| 1280| 1280|
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## Additional Information
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### Citation Information
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BibTeX:
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```json
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@inproceedings{soleimani-etal-2021-nlquad,
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title = "{NLQ}u{AD}: A Non-Factoid Long Question Answering Data Set",
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author = "Soleimani, Amir and
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