thunlp/UltraChat resource
Large-scale, Informative, and Diverse Multi-round Chat Data (and Models) observed · 2026-08-28
Health v2 · maintenance only
30/100
- Activity 0
- Release rhythm 35
- Longevity 89
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1248
- days_rel: n/a
- days_push: 903
- n_releases_24m: 0
Adoption not part of the score
2890 stars · 144 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
UltraChat is a large-scale dataset of 1.57M informative, diverse multi-round dialogue instructions generated with LLMs, plus UltraLM, a series of chat models fine-tuned on it. It is primarily a research dataset for training open-source instruction-following chat models.
Use cases
- download multi-round chat instruction data for fine-tuning an LLM
- train an instruction-following chatbot with SFT
- find open dialogue datasets for supervised fine-tuning
- reproduce open-source chat models like UltraLM
- get instruction tuning data as an alternative to ShareGPT
When to choose
- you need large-scale multi-round instruction data for supervised fine-tuning
- you want a permissively licensed (MIT) chat dataset for LLM research
- you want a proven dataset behind top AlpacaEval open models
When to avoid
- you need preference/RLHF data rather than SFT dialogues (use UltraFeedback instead)
- you want a production chatbot application rather than training data
- you need human-written rather than model-generated dialogues
Facets
dataset · maturity maintenance
machine-learning llm-training data-generation large-language-models chatbots deep-learning machine-learning python instruction-tuning chat-data sft llama dialogue-dataset
1 source
- readme: https://github.com/thunlp/UltraChat · fetched 2026-08-28 · 6ac501028066
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| thunlp/UltraChat | main | 30 |
For agents
markdown · JSON · MCP: product_card(name="thunlp/UltraChat")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem