---
license: apache-2.0
task_categories:
- sentence-similarity
- feature-extraction
language:
- en
size_categories:
- 100K<n<1M
---
# Dataset Card for "cqadupstack"

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
- [Additional Information](#additional-information)
  - [Licensing Information](#licensing-information)

## Dataset Description

- **Homepage:** [http://nlp.cis.unimelb.edu.au/resources/cqadupstack/](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/)


### Dataset Summary
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/).


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.



## Dataset Structure

### Data Instances

An example of 'train' looks as follows.

```json
{
    "question": "Very often, when some unknown company is calling me, in couple of seconds I see its name and logo on standard ...",
    "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 ...",
    "title": "Why Dialer shows contact name and image, when contact is not in my address book?",
    "forum_tag": "android"
}
```

### Data Fields

The data fields are the same among all splits.

- `question`: a `string` feature.
- `answer`: a `string` feature.
- `title`: a `string` feature.
- `forum_tag`: a categorical `string` feature.


## Additional Information

### Licensing Information

This dataset is distributed under the Apache 2.0 licence.