Datasets:
Update README.md
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README.md
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path: data/dev-*
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- split: test
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path: data/test-*
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---
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path: data/dev-*
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- split: test
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path: data/test-*
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language:
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- en
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tags:
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- sentence-transformers
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pretty_name: AskUbuntu
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---
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# Dataset Card for AskUbuntu
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The AskUbuntu dataset (Lei et al., 2016) is a collection of preprocessed questions taken from AskUbuntu.com 2014 corpus dump. It also comes with 400*20 mannual annotations, marking pairs of questions as "similar" or "non-similar".
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The dataset is sourced from the original [GitHub repository](https://github.com/taolei87/askubuntu).
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Note that for the `train` split, the "positive" is the list of similar questions according to AskUbuntu, and "negative" is a list of randomly selected questions. For `dev` and `test`, the "positive" are human-annotated and may be empty. Unlike the original dataset, the "positive" data is *not* a subset of the "negative" data, they're mutually exclusive.
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See also [sentence-transformers/askubuntu-questions](https://huggingface.co/datasets/sentence-transformers/askubuntu-questions) for all AskUbuntu questions in this dataset.
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## Dataset Details
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* Columns: "query", "positive", "negative"
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* Column types: `str`, `list[str]`, `list[str]`
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* Examples:
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```python
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{
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"query": "system running in low graphic mode ( ubuntu without monitor )",
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"positive": [
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"getting system to boot in headless mode set-up without display problems"
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],
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"negative": [
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"software center not progress showing mergelist error",
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"how to install google earth or draftsight for 64-bit os ?",
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"how to install a huawei ec-226 usb modem ?",
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...
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]
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}
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```
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* Collection strategy: Downloading the `train_random.txt`, `dev.text`, and `test.txt` files from the original source, and mapping the query IDs to the query texts.
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* Deduplicated: No
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