Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's text-davinci-003 engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better.
Dataset Card
Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's text-davinci-003 engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better. The authors built on the data generation pipeline from Self-Instruct framework and made the following modifications: - The text-davinci-003 engine to generate the instruction data instead of davinci. - A new prompt was written that explicitly gave the requirement of instruction generation to text-davinci-003. - Much more aggressive batch decoding was used, i.e., generating 20 instructions at once, which significantly reduced the cost of data…
Excerpt from the card by Tatsu Lab, licensed cc-by-nc-4.0.
Structure
default 52,002 rows
| Split | Rows | Size |
|---|---|---|
| train | 52,002 | 44.1 MB |
Details
- Repository
- tatsu-lab/alpaca
- Publisher
- Tatsu Lab
- Task category
- Text generation
- Tags
- instruction-finetuning
- Size category
- Not stated by the source
- Languages
- en
- Revision
- dce01c9b08f87459cf36a430d809084718273017
- Last updated
- 2023-05-22
Files
3 files, 24.3 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| data/train-00000-of-00001-a09b74b3ef9c3b56.parquet | Data | 24.2 MB | 06391b656a06 |
| README.md | Documentation | 7.5 KB | — |
| .gitattributes | Repository | 2.3 KB | — |
License and Download
- License
- cc-by-nc-4.0
- Access
- No access gate
Released by Tatsu Lab through its official repository on Hugging Face. Read the license.