Create README.md

README.md

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+# 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