gururise/AlpacaDataCleaned resource
Alpaca dataset from Stanford, cleaned and curated observed · 2026-08-28
Health v2 · maintenance only
62/100
- Activity 71
- Release rhythm 35
- Longevity 90
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: 1261
- days_rel: n/a
- days_push: 179
- n_releases_24m: 0
Adoption not part of the score
1606 stars · 158 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A cleaned and curated version of the Stanford Alpaca instruction-tuning dataset used to train the Alpaca LLM. It fixes quality issues in the GPT-3-generated original data and provides benchmark comparisons showing improved fine-tuning results.
Use cases
- fine-tune a llama model with cleaner instruction data
- get a better alpaca dataset than the original stanford one
- improve lora fine-tuning loss curves
- download cleaned instruction tuning data for 7b models
- compare fine-tuning datasets by benchmark results
- train an alpaca-style chatbot on curated data
When to choose
- you are fine-tuning LLaMA-family models with LoRA and want higher-quality instruction data
- you saw poor results or loss curves with the original Alpaca dataset
- you want benchmarked evidence that a dataset improves model performance
When to avoid
- you need a large-scale modern instruction dataset rather than a cleaned 2023-era one
- you are not doing LLM fine-tuning
- you need multilingual instruction data
Facets
dataset · maturity maintenance
machine-learning data-science etl large-language-models machine-learning python alpaca llm-training-data instruction-tuning data-cleaning lora fine-tuning natural-language-processing
1 source
- readme: https://github.com/gururise/AlpacaDataCleaned · fetched 2026-08-28 · 7142eb60353c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| gururise/AlpacaDataCleaned | main | 62 |
For agents
markdown · JSON · MCP: product_card(name="gururise/AlpacaDataCleaned")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem