# Dataset Card for Flan V2

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### Dataset Description

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- **Homepage:** [ https://ai.googleblog.com/2023/02/the-flan-collection-advancing-open.html]
- **Repository::** [ https://github.com/google-research/FLAN/tree/main/flan/v2]
- **Paper:** [https://arxiv.org/abs/2301.13688]

### Dataset Sources [optional]

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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

### Dataset Summary

This is a processed version of the Flan V2 dataset.

I'm not affiliated with the creators, I'm just releasing the files in an easier-to-access format after processing.

The authors of the Flan Collection recommend experimenting with different mixing ratio's of tasks to get optimal results downstream.

These are minor hits to the total size of the collection (orders of MB compared to GB) but once those are fixed I will upload a complete version.


### Dataset Structure


## Data Instances

Flan 2021 (flan), P3 (t0), Super-Natural Instructions (niv2), Chain-of-thought (cot), and Dialog (dialog)



## Data Fields

Instruction data comes in a few formats:
Few Shot (fs)
Zero Shot (zs)
Options Provided in context (i.e. multiple choice pick one) (opt)
No Options Provided (noopt)


Each combination of the above tasks + formats are saved as a JSONL with following schema {"input": ..., "target": ..., "task": ...}

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#### Data Splits

Everything is saved as a train split