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Add dataset card

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  ---
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- dataset_info:
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- features:
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- - name: messages
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- list:
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- - name: role
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- dtype: string
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- - name: content
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- dtype: string
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- - name: source
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 56959628
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- num_examples: 23800
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- - name: test
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- num_bytes: 510700
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- num_examples: 200
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- download_size: 57225198
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- dataset_size: 57470328
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: test
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- path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: mit
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - instruction-tuning
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+ - sft
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+ - synthetic
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Day 3 instruction blend
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+
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+ A normalized multi-source instruction dataset built for the Day 3
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+ 'instruction tuning at scale' exercise of a post-training curriculum.
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+ Every row is in the OpenAI-messages format with a `source` column for
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+ per-source ablations. Built by `day03_instruct/build_blend.py`;
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+ converters live in `common/format_convert.py`.
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+
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+ - Blend size: 24000 rows (200 held out as `test`)
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+ - Sampling seed: 42
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+ - Length cap: 8000 total content characters per conversation
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+
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+ ## Sources
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+
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+ | source | dataset | original format | weight | rows kept |
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+ |---|---|---|---|---|
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+ | alpaca | [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) | alpaca | 1.0 | 8000 |
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+ | slimorca | [Open-Orca/SlimOrca](https://huggingface.co/datasets/Open-Orca/SlimOrca) | sharegpt | 1.0 | 8000 |
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+ | ultrachat | [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) | messages | 1.0 | 8000 |
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+
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+ ## Filtering
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+
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+ Rows were rejected for structural problems (wrong role order, missing or
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+ non-final assistant turn, empty content, unknown speakers) or for exceeding
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+ the length cap. Per-source rejection counts:
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+
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+ ```json
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+ {
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+ "alpaca": {},
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+ "slimorca": {
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+ "length: over 8000 chars": 96
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+ },
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+ "ultrachat": {
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+ "length: over 8000 chars": 1902
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+ }
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+ }
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+ ```
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+
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+ ## Licensing and provenance
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+
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+ - **alpaca** (yahma/alpaca-cleaned): CC BY 4.0; responses originally distilled from OpenAI models
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+ - **slimorca** (Open-Orca/SlimOrca): MIT; GPT-4-generated responses (note OpenAI-terms provenance caveat)
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+ - **ultrachat** (HuggingFaceH4/ultrachat_200k): MIT
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+
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+ Portions of this data were generated by large language models; check the
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+ upstream dataset cards and the relevant providers' terms before commercial use.