Adds dataset card
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README.md
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---
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license: apache-2.0
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---
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---
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configs:
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- config_name: main
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data_files:
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- split: train
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path: train.jsonl
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- split: test
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path: test.jsonl
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- split: validation
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path: val.jsonl
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license: apache-2.0
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task_categories:
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- retrieval
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language:
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- en
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source_datasets:
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- original
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pretty_name: QUEST
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annotations_creators:
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- wikipedia-sourced
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size_categories:
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- 1K<n<10K
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---
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# Dataset Card for QUEST
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## Dataset Description
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- **Repository: https://github.com/google-research/language/tree/master/language/quest**
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- **Paper: https://arxiv.org/abs/2305.11694**
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- **Point of Contact: [email protected]**
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### Dataset Summary
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We provide here the data accompanying the paper: [QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations
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](https://arxiv.org/abs/2305.11694).
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## Dataset Structure
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### Data Instances
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QUEST contains 6307 training queries, 323 examples for development, and 1727 examples for testing.
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### Data Fields
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Each examples file contains newline-separated json dictionaries with the following fields:
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* `query` - Paraphrased query written by annotators.
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* `docs` - List of relevant document titles.
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* `original_query` - The original query which was paraphrased. Atomic queries are
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enclosed by `<mark></mark>`. Augmented queries do not have this field populated.
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* `scores` - This field is not populated and only used when producing predictions to enable sharing the same data structure.
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* `metadata` - A dictionary with the following fields:
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* `template` - The template used to create the query.
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* `domain` - The domain to which the query belongs.
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* `fluency` - List of fluency ratings for the query.
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* `meaning` - List of ratings for whether the paraphrased query meaning is the
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same as the original query.
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* `naturalness` - List of naturalness ratings for the query.
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* `relevance_ratings` - Dictionary mapping document titles to relevance ratings
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for the document.
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* `evidence_ratings` - Dictionary mapping document titles to evidence ratings
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for the document.
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* `attributions` - Dictionary mapping a document title to its attributions
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attributions are a list of dictionaries mapping a query substring to a
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document substring.
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The document corpus is at https://storage.googleapis.com/gresearch/quest/documents.jsonl. Note that this file is quite large
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(899MB). The format is newline separated json dicts containing `title` and
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`text`.
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### Citation Information
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```
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@inproceedings{malaviya23expertqa,
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title = {QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations},
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author = {Chaitanya Malaviya and Peter Shaw and Ming-Wei Chang and Kenton Lee and Kristina Toutanova},
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booktitle = {ACL},
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year = {2023},
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url = "https://arxiv.org/abs/2305.11694"
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}
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```
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