google-research/FLAN resource
None observed · 2026-08-28
Health v2 · maintenance only
73/100
- Activity 90
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1838
- days_rel: n/a
- days_push: 62
- n_releases_24m: 0
Adoption not part of the score
1567 stars · 160 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Google Research's repository for generating the FLAN instruction tuning dataset collections, including the original Flan 2021 and the expanded Flan Collection used to train Flan-T5 and Flan-PaLM. It provides Python/SeqIO code to produce instruction tuning mixtures from many NLP tasks.
Use cases
- generate instruction tuning data for fine-tuning LLMs
- reproduce the Flan 2021 SeqIO mixtures
- build the Flan Collection for training models like Flan-T5
- research zero-shot generalization of finetuned language models
- mix diverse NLP task datasets for prompt-based training
When to choose
- you need the canonical FLAN instruction tuning datasets for LLM training
- you use SeqIO/T5X and want reproducible Flan mixtures
- you are researching instruction tuning or zero-shot prompting
When to avoid
- you want a ready-to-download dataset rather than generation code
- you need a general-purpose ML framework unrelated to instruction tuning
- you want inference or serving tools for Flan models
Facets
dataset · maturity stable
machine-learning llm-training data-generation etl large-language-models machine-learning artificial-intelligence python instruction-tuning flan seqio dataset-generation research google-research zero-shot-learning natural-language-processing
1 source
- readme: https://github.com/google-research/FLAN · fetched 2026-08-28 · 38a12f7b3378
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google-research/FLAN | main | 73 |
For agents
markdown · JSON · MCP: product_card(name="google-research/FLAN")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem