| # Dataset Card for Flan V2 | |
| <!-- Provide a quick summary of the dataset. --> | |
| ### Dataset Description | |
| <!-- Provide a longer summary of what this dataset is. --> | |
| - **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] | |
| <!-- Provide the basic links for the dataset. --> | |
| - **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": ...} | |
| <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> | |
| #### Data Splits | |
| Everything is saved as a train split |