Sign inGet started
Dataset · Hugging Face

shareAI/ShareGPT-Chinese-English-90k

ShareGPT-Chinese-English-90k Bilingual Human-Machine QA Dataset A high-quality Chinese-English parallel bilingual human-machine QA dataset, covering user questions in real and complex scenarios. It is used for training high-quality dialogue models (more robust in instruction distribution than those datasets generated by repeatedly calling API interfaces to simulate machine-generated Q&A, like Moss) Features: Provides fully semantically equivalent Chinese-English parallel… See the full description on the dataset page: https://huggingface.co/datasets/shareAI/ShareGPT-Chinese-English-90k.

Author / organizationshareAI
License (as declared)apache-2.0
Downloads1.4K (as reported by Hugging Face)
Likes293
Created15 April 2023
Last updated at source29 December 2025
code
Embed this entry
<iframe src="https://silytics.si/embed/item/6be79af8-89ad-45bc-b045-80f9b5b84ae5" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 4 days

1,428 now (+79 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Recent changes

  • 17 Oct 2026 Description: ShareGPT-Chinese-English-90k Bilingual Human-Machine QA Dataset A high-quality Chinese-English parallel bilingual human-machine QA dataset, covering user questions in real and complex scenarios. It is used for training high-quality dialogue → ShareGPT-Chinese-English-90k Bilingual Human-Machine QA Dataset A high-quality Chinese-English parallel bilingual human-machine QA dataset, covering user questions in real and complex scenarios. It is used for training high-quality dialogue

Changes detected by Silytics between refreshes of the source.

More from shareAI

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.