Sign inGet started
Dataset · Hugging Face

Orange/csqa-sparqltotext

Dataset Card for CSQA-SPARQLtoText Dataset Summary CSQA corpus (Complex Sequential Question-Answering, see https://amritasaha1812.github.io/CSQA/) is a large corpus for conversational knowledge-based question answering. The version here is augmented with various fields to make it easier to run specific tasks, especially SPARQL-to-text conversion. The original data has been post-processing as follows: Verbalization templates were applied on the answers and their… See the full description on the dataset page: https://huggingface.co/datasets/Orange/csqa-sparqltotext.

Author / organizationOrange
License (as declared)cc-by-sa-4.0
Downloads292 (as reported by Hugging Face)
Likes1
Created9 January 2024
Last updated at source11 January 2024
qaknowledge-graphsparqlmulti-hop
Embed this entry
<iframe src="https://silytics.si/embed/item/895dce85-4f2c-4d59-8c32-7409b1f7a6de" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

292 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: Dataset Card for CSQA-SPARQLtoText Dataset Summary CSQA corpus (Complex Sequential Question-Answering, see https://amritasaha1812.github.io/CSQA/) is a large corpus for conversational knowledge-based question answering. The version here is → Dataset Card for CSQA-SPARQLtoText Dataset Summary CSQA corpus (Complex Sequential Question-Answering, see https://amritasaha1812.github.io/CSQA/) is a large corpus for conversational knowledge-based question answering. The version here is

Changes detected by Silytics between refreshes of the source.

More from Orange

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.