Ross ROSS = Recommend OSS · open-source software intelligence for agents

thunlp/UltraChat resource

Large-scale, Informative, and Diverse Multi-round Chat Data (and Models) observed · 2026-08-28

github.com/thunlp/UltraChat · Python · MIT (permissive) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
thunlp/UltraChatmain30

For agents

markdown · JSON · MCP: product_card(name="thunlp/UltraChat")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem