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--- |
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license: apache-2.0 |
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language: |
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- en |
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task_categories: |
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- summarization |
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- text2text-generation |
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tags: |
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- summarization |
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- long-document |
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pretty_name: SQuALITY v1.3 |
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size_categories: |
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- n<1K |
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--- |
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# SQuALITY - v1.3 |
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> Original paper [here](https://arxiv.org/abs/2205.11465) |
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This is v1.3, the 'text' edition `.jsonl` files. See description from the [original repo](https://github.com/nyu-mll/SQuALITY): |
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> v1.3 fixes some bugs in v1.2. In v1.2, 10 out of 127 articles (each ~5k-word-long) are missing a few hundreds words each, so summaries may not be fully contained in the article. To fix this issue, we have updated the 10 articles. |
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## contents |
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> again, this is taken from the repo |
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Each data file ({train/dev/test}.jsonl) is formatted as a JSON lines file. Each row in the data file is a JSON dictionary with the following fields: |
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- metadata: the Gutenberg story ID, an internal UID, and the Project Gutenberg license |
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- document: the Gutenberg story |
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questions: a list of questions and accompanying responses |
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- question text |
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- question number: the order in which that question was answered by the writers |
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- responses: list of worker's response, where each response is a dictionary containing the (anonymized) worker ID, an internal UID, and their response to the question |
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### dataset contents |
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```python |
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DatasetDict({ |
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train: Dataset({ |
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features: ['metadata', 'document', 'questions'], |
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num_rows: 50 |
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}) |
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test: Dataset({ |
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features: ['metadata', 'document', 'questions'], |
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num_rows: 52 |
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}) |
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validation: Dataset({ |
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features: ['metadata', 'document', 'questions'], |
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num_rows: 25 |
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}) |
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}) |
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``` |
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