Update README.md

README.md

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-Edit this `README.md` markdown file to author your organization card 🔥
+## tasksource: 500+ dataset harmonization preprocessings with structured annotations for frictionless extreme multi-task learning and evaluation
+
+Huggingface Datasets is a great library, but it lacks standardization, and datasets require preprocessing work to be used interchangeably.
+`tasksource` automates this and facilitates reproducible multi-task learning scaling.
+
+Each dataset is standardized to either `MultipleChoice`, `Classification`, or `TokenClassification` dataset with identical fields. We do not support generation tasks as they are addressed by [promptsource](https://github.com/bigscience-workshop/promptsource). All implemented preprocessings are in [tasks.py](https://github.com/sileod/tasksource/blob/main/src/tasksource/tasks.py) or [tasks.md](https://github.com/sileod/tasksource/blob/main/tasks.md). A preprocessing is a function that accepts a dataset and returns the standardized dataset. Preprocessing code is concise and human-readable.
+
+### Installation and usage:
+`pip install tasksource`
+```python
+from tasksource import list_tasks, load_task
+df = list_tasks()
+
+for id in df[df.task_type=="MultipleChoice"].id:
+    dataset = load_task(id)
+    # all yielded datasets can be used interchangeably
+```
+
+See supported 500+ tasks in [tasks.md](https://github.com/sileod/tasksource/blob/main/tasks.md) (+200 MultipleChoice tasks, +200 Classification tasks) and feel free to request a new task. Datasets are downloaded to `$HF_DATASETS_CACHE` (as any huggingface dataset), so be sure to have >100GB of space there.
+
+### Pretrained model:
+
+Text encoder pretrained on tasksource reached state-of-the-art results: [🤗/deberta-v3-base-tasksource-nli](https://hf.co/sileod/deberta-v3-base-tasksource-nli)
+
+ ### Contact and citation
+I can help you integrate tasksource in your experiments. `damien.sileo@inria.fr`
+
+More details on this [article:](https://arxiv.org/abs/2301.05948) 
+```bib
+@article{sileo2023tasksource,
+  title={tasksource: Structured Dataset Preprocessing Annotations for Frictionless Extreme Multi-Task Learning and Evaluation},
+  author={Sileo, Damien},
+  url= {https://arxiv.org/abs/2301.05948},
+  journal={arXiv preprint arXiv:2301.05948},
+  year={2023}
+}
+```
+