|
--- |
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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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- text-retrieval |
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language: |
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- en |
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source_datasets: |
|
- original |
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pretty_name: QUEST |
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annotations_creators: |
|
- wikipedia-sourced |
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size_categories: |
|
- 1K<n<10K |
|
--- |
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|
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# Dataset Card for QUEST |
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|
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## Dataset Description |
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|
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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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|
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### Dataset Summary |
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|
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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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|
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## Dataset Structure |
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|
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### Data Instances |
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|
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QUEST contains 6307 training queries, 323 examples for development, and 1727 examples for testing. |
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|
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### Data Fields |
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|
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Each examples file contains newline-separated json dictionaries with the following fields: |
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|
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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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|
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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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|
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### Citation Information |
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|
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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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|
