| --- |
| license: mit |
| task_categories: |
| - text-generation |
| tags: |
| - instruction-tuning |
| - sft |
| - synthetic |
| --- |
| |
| # Day 3 instruction blend |
|
|
| A normalized multi-source instruction dataset built for the Day 3 |
| 'instruction tuning at scale' exercise of a post-training curriculum. |
| Every row is in the OpenAI-messages format with a `source` column for |
| per-source ablations. Built by `day03_instruct/build_blend.py`; |
| converters live in `common/format_convert.py`. |
|
|
| - Blend size: 24000 rows (200 held out as `test`) |
| - Sampling seed: 42 |
| - Length cap: 8000 total content characters per conversation |
|
|
| ## Sources |
|
|
| | source | dataset | original format | weight | rows kept | |
| |---|---|---|---|---| |
| | alpaca | [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) | alpaca | 1.0 | 8000 | |
| | slimorca | [Open-Orca/SlimOrca](https://huggingface.co/datasets/Open-Orca/SlimOrca) | sharegpt | 1.0 | 8000 | |
| | ultrachat | [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) | messages | 1.0 | 8000 | |
|
|
| ## Filtering |
|
|
| Rows were rejected for structural problems (wrong role order, missing or |
| non-final assistant turn, empty content, unknown speakers) or for exceeding |
| the length cap. Per-source rejection counts: |
|
|
| ```json |
| { |
| "alpaca": {}, |
| "slimorca": { |
| "length: over 8000 chars": 96 |
| }, |
| "ultrachat": { |
| "length: over 8000 chars": 1902 |
| } |
| } |
| ``` |
|
|
| ## Licensing and provenance |
|
|
| - **alpaca** (yahma/alpaca-cleaned): CC BY 4.0; responses originally distilled from OpenAI models |
| - **slimorca** (Open-Orca/SlimOrca): MIT; GPT-4-generated responses (note OpenAI-terms provenance caveat) |
| - **ultrachat** (HuggingFaceH4/ultrachat_200k): MIT |
| |
| Portions of this data were generated by large language models; check the |
| upstream dataset cards and the relevant providers' terms before commercial use. |
| |
