Create README.md

README.md

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+---
+language: 
+  - Arabic
+  - Bengali
+  - English
+  - Finnish
+  - Indonesian
+  - Finnish
+  - Korean
+  - Russian
+  - Swahili
+  - Telugu
+  - Thai
+  - Japanese
+    
+license: "Apache License 2.0"
+---
+
+# Dataset Summary
+Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages. It is designed for monolingual retrieval, specifically to evaluate ranking with learned dense representations.
+
+This dataset stores documents of Mr. TyDi. To access the queries and judgments, please refer to [castorini/mr-tydi](https://huggingface.co/datasets/castorini/mr-tydi).
+
+# Dataset Structure
+The only configuration here is the `language`. As all three folds (train, dev and test) share the same corpus, there is only one fold 'train' under each language, unlike [castorini/mr-tydi](https://huggingface.co/datasets/castorini/mr-tydi).
+
+An example of document data entry looks as follows:
+```
+{
+  'docid': '25#0', 
+  'title': 'Autism', 
+  'text': 'Autism is a developmental disorder characterized by difficulties with social interaction and communication, ...'
+}
+```
+
+# Load Dataset
+An example to load the dataset:
+```
+language = 'english'
+dataset = load_dataset('castorini/mr-tydi-corpus', language, 'train')
+```
+
+# Citation Information
+```
+@article{mrtydi,
+      title={{Mr. TyDi}: A Multi-lingual Benchmark for Dense Retrieval}, 
+      author={Xinyu Zhang and Xueguang Ma and Peng Shi and Jimmy Lin},
+      year={2021},
+      journal={arXiv:2108.08787},
+}
+```