Update README.md

README.md

@@ -26,7 +26,34 @@ dataset_info:
     num_examples: 9400
   download_size: 104413879
   dataset_size: 188946124.0
+license: other
+task_categories:
+- zero-shot-classification
+- text-classification
+task_ids:
+- natural-language-inference
 ---
-# Dataset Card for "multilingual-zero-shot-label-nli"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+[mtasksource](https://github.com/sileod/tasksource) classification tasks recasted as natural language inference. 
+This dataset is intended to improve label understanding in [zero-shot classification HF pipelines](https://huggingface.co/docs/transformers/main/main_classes/pipelines#transformers.ZeroShotClassificationPipeline
+).
+
+Inputs that are text pairs are separated by a newline (\n).
+```python
+from transformers import pipeline
+classifier = pipeline(model="sileod/mdeberta-v3-base-tasksource-nli")
+classifier(
+    "I have a problem with my iphone that needs to be resolved asap!!",
+    candidate_labels=["urgent", "not urgent", "phone", "tablet", "computer"],
+)
+```
+[mdeberta-v3-base-tasksource-nli](https://huggingface.co/sileod/mdeberta-v3-base-tasksource-nli) will include `label-nli` in its training mix (a relatively small portion, to keep the model general, but note that nli models work for label-like zero shot classification without specific supervision (https://aclanthology.org/D19-1404.pdf).
+
+
+```
+@article{sileo2023tasksource,
+  title={tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and Evaluation},
+  author={Sileo, Damien},
+  year={2023}
+}
+```