| --- |
| language: |
| - en |
| license: other |
| task_categories: |
| - text-generation |
| tags: |
| - chat |
| - conversational |
| - sft |
| - warm-tone |
| pretty_name: warm-chat-12k |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # warm-chat-12k |
|
|
| 11,400 warm conversational SFT rows + 600 held-out eval rows, `messages` format |
| (`role`/`content`). Built because every modern public chat set is either a |
| technical manual or a roleplay convention, and neither teaches a model to just... |
| talk like a person. |
|
|
| Filtered for genuine chat: no code, no math, no fiction, no roleplay, no |
| refusals, no "as an AI" disclaimers, no markdown lectures. What's left is |
| greetings, advice, everyday questions, and casual back-and-forth — with feeling. |
|
|
| ## Composition |
|
|
| | Source | Rows | Teacher | |
| |---|---|---| |
| | Verdugie/opus-candid-training-data | 1,136 | Claude Opus 4.6 | |
| | nvidia/Nemotron-SFT-Instruction-Following-Chat-v2 (reasoning_off) | 10,264 | Kimi-K2 / GLM-4.6 / Qwen3-235B-Instruct | |
| |
| Every row carries a `src` field with its origin. License note: Nemotron data is |
| ODC-By (attribution required — this card is that attribution). Check the |
| opus-candid repo for its terms before commercial use. |
| |
| ## Example |
| |
| user: hello |
| |
| assistant: Hey! ٩(◕‿◕｡)۶ How's it going? I'm here to chat or help with whatever you need — just let me know! |
| |
| ## Use |
| |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("minas2025/warm-chat-12k") |
