Finetuning Dataset: Claude Opus 4.6/4.7 - 8.7k Chats

Posted by AldebaranBefore@reddit | LocalLLaMA | View on Reddit | 7 comments

A synthetic fine-tuning dataset created from Claude 4.6/4.7. 8,706 total examples all with reasoning. I haven't reviewed the data but there was some basic cleaning applied. Refusals and safety should be repressed. I ended up with extra usage on a plan before it expired.

| Split | File | Examples | Contents |
|-------|------|---------:|----------|
| **Full** | `full_train.jsonl` | 8,706 | All examples across all 28 categories. |
| **Instruct** | `instruct_train.jsonl` | 7,217 | All 24 instructional categories — coding, math, sciences, humanities, arts, finance, medicine, law, business, linguistics, creative writing, general. |
| **Roleplay** | `roleplay_train.jsonl` | 1,489 | The four creative categories — `roleplay_hero`, `roleplay_villain`, `roleplay_crossover`, `narrative_prose`. |
| **Code** | `code_train.jsonl` | 1,840 | `coding` + `math` only. For coding/math-focused fine-tunes. |

https://huggingface.co/datasets/angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k

## Overall

| Metric | Value |
|---|---:|
| Examples | 8,706 |
| Tokens (estimated) | 17,013,533 |
| Avg tokens / example | 1,954 |
| Multi-turn | 3,454 (39.7%) |
| Single-turn | 5,252 (60.3%) |

## Category Counts

| Category | Examples | Tokens | Multi-turn % |
|----------|---------:|-------:|-------------:|
| coding | 1,628 | 2,545,221 | 30.4% |
| humanities | 862 | 1,849,708 | 32.5% |
| science | 737 | 1,681,346 | 37.4% |
| roleplay_hero | 419 | 640,084 | 63.5% |
| roleplay_villain | 378 | 635,984 | 60.8% |
| narrative_prose | 377 | 710,807 | 43.0% |
| roleplay_crossover | 315 | 581,188 | 56.8% |
| creative_writing | 281 | 532,504 | 30.6% |
| medicine | 280 | 519,662 | 22.1% |
| biology | 277 | 541,013 | 21.3% |
| general | 276 | 284,696 | 37.0% |
| arts | 245 | 576,170 | 41.2% |
| chemistry | 221 | 508,546 | 52.9% |
| physics | 220 | 512,196 | 56.8% |
| math | 212 | 394,907 | 54.2% |
| geography | 155 | 358,321 | 42.6% |
| history | 155 | 348,822 | 41.3% |
| economics | 155 | 380,372 | 42.6% |
| political_science | 154 | 374,901 | 38.3% |
| sociology | 154 | 378,261 | 42.2% |
| business | 152 | 315,065 | 38.2% |
| earth_science | 152 | 358,209 | 41.4% |
| finance | 151 | 328,607 | 38.4% |
| philosophy | 150 | 335,514 | 41.3% |
| linguistics | 150 | 306,889 | 39.3% |
| literature | 150 | 299,606 | 38.7% |
| psychology | 150 | 339,565 | 39.3% |
| law | 150 | 375,360 | 41.3% |

## By Model

| Model | Count | Share | Tokens |
|---|---:|---:|---:|
| claude-opus-4-6 | 4,675 | 53.7% | 6,304,169 |
| claude-opus-4-7 | 4,031 | 46.3% | 10,709,363 |