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README.md
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---
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license: apache-2.0
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task_categories:
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- sentence-similarity
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- feature-extraction
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language:
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- en
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size_categories:
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- 100K<n<1M
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---
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# Dataset Card for "cqadupstack"
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Additional Information](#additional-information)
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- [Licensing Information](#licensing-information)
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## Dataset Description
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- **Homepage:** [http://nlp.cis.unimelb.edu.au/resources/cqadupstack/](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/)
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### Dataset Summary
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This is a preprocessed version of cqadupstack, to make it easily consumable via huggingface. The original dataset can be found [here](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/).
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CQADupStack is a benchmark dataset for community question-answering (cQA) research. It contains threads from twelve StackExchange1 subforums, annotated with duplicate question information and comes with pre-defined training, development, and test splits, both for retrieval and classification experiments.
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## Dataset Structure
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### Data Instances
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An example of 'train' looks as follows.
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```json
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{
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"question": "Very often, when some unknown company is calling me, in couple of seconds I see its name and logo on standard ...",
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"answer": "You didn't explicitely mention it, but from the context I assume you're using a device with Android 4.4 (Kitkat). With that ...",
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"title": "Why Dialer shows contact name and image, when contact is not in my address book?",
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"forum_tag": "android"
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}
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```
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### Data Fields
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The data fields are the same among all splits.
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- `question`: a `string` feature.
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- `answer`: a `string` feature.
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- `title`: a `string` feature.
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- `forum_tag`: a categorical `string` feature.
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## Additional Information
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### Licensing Information
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This dataset is distributed under the Apache 2.0 licence.
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