sentence-transformers/askubuntu
Dataset Card for AskUbuntu 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". The dataset is sourced from the original GitHub repository. 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… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/askubuntu.
Dataset Card for AskUbuntu
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". The dataset is sourced from the original GitHub repository.
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.
See also sentence-transformers/askubuntu-questions for all AskUbuntu questions in this dataset.
Dataset Details
- Columns: "query", "positive", "negative"
- Column types:
str,list[str],list[str] - Examples:
{
"query": "system running in low graphic mode ( ubuntu without monitor )",
"positive": [
"getting system to boot in headless mode set-up without display problems"
],
"negative": [
"software center not progress showing mergelist error",
"how to install google earth or draftsight for 64-bit os ?",
"how to install a huawei ec-226 usb modem ?",
...
]
}- Collection strategy: Downloading the
train_random.txt,dev.text, andtest.txtfiles from the original source, and mapping the query IDs to the query texts. - Deduplicated: No
