Update README.md (#1)

- Update README.md (315f267bc74ca5aa1541e825a7bc702bb08e5293)
- Update README.md (e4e6c9e18ffca692f97aecf75faf3a8b92ef865f)

README.md

@@ -1,3 +1,213 @@
 ---
+language:
+- af
+- ar
+- az
+- bg
+- bn
+- de
+- el
+- en
+- es
+- et
+- eu
+- fa
+- fi
+- fr
+- gu
+- he
+- hi
+- ht
+- hu
+- id
+- it
+- ja
+- jv
+- ka
+- kk
+- ko
+- lt
+- ml
+- mr
+- ms
+- my
+- nl
+- pa
+- pl
+- pt
+- qu
+- ro
+- ru
+- sw
+- ta
+- te
+- th
+- tl
+- tr
+- uk
+- ur
+- vi
+- wo
+- yo
+- zh
 license: apache-2.0
+pretty_name: Mewsli-X
+task_categories:
+- text-retrieval
+task_ids:
+- entity-linking-retrieval
+configs:
+- config_name: wikipedia_pairs
+  data_files:
+  - split: train
+    path: wikipedia_pairs/train.jsonl.tar.gz
+  - split: validation
+    path: wikipedia_pairs/dev.jsonl.tar.gz
+- config_name: ar
+  data_files:
+  - split: validation
+    path: wikinews_mentions/ar/dev.jsonl
+  - split: test
+    path: wikinews_mentions/ar/test.jsonl
+- config_name: de
+  data_files:
+  - split: validation
+    path: wikinews_mentions/de/dev.jsonl
+  - split: test
+    path: wikinews_mentions/de/test.jsonl
+- config_name: en
+  data_files:
+  - split: validation
+    path: wikinews_mentions/en/dev.jsonl
+  - split: test
+    path: wikinews_mentions/en/test.jsonl
+- config_name: es
+  data_files:
+  - split: validation
+    path: wikinews_mentions/es/dev.jsonl
+  - split: test
+    path: wikinews_mentions/es/test.jsonl
+- config_name: fa
+  data_files:
+  - split: validation
+    path: wikinews_mentions/fa/dev.jsonl
+  - split: test
+    path: wikinews_mentions/fa/test.jsonl
+- config_name: ja
+  data_files:
+  - split: validation
+    path: wikinews_mentions/ja/dev.jsonl
+  - split: test
+    path: wikinews_mentions/ja/test.jsonl
+- config_name: pl
+  data_files:
+  - split: validation
+    path: wikinews_mentions/pl/dev.jsonl
+  - split: test
+    path: wikinews_mentions/pl/test.jsonl
+- config_name: ro
+  data_files:
+  - split: validation
+    path: wikinews_mentions/ro/dev.jsonl
+  - split: test
+    path: wikinews_mentions/ro/test.jsonl
+- config_name: ta
+  data_files:
+  - split: validation
+    path: wikinews_mentions/ta/dev.jsonl
+  - split: test
+    path: wikinews_mentions/ta/test.jsonl
+- config_name: tr
+  data_files:
+  - split: validation
+    path: wikinews_mentions/tr/dev.jsonl
+  - split: test
+    path: wikinews_mentions/tr/test.jsonl
+- config_name: uk
+  data_files:
+  - split: validation
+    path: wikinews_mentions/uk/dev.jsonl
+  - split: test
+    path: wikinews_mentions/uk/test.jsonl
+- config_name: candidate_entities
+  data_files:
+  - split: test
+    path: candidate_entities.jsonl.tar.gz
+size_categories:
+- 100K<n<1M
 ---
+
+I generated the dataset following [mewsli-x.md#getting-started](https://github.com/google-research/google-research/blob/master/dense_representations_for_entity_retrieval/mel/mewsli-x.md#getting-started)
+and converted into different parts (see [`process.py`](process.py)):
+ - ar/de/en/es/fa/ja/pl/ro/ta/tr/uk wikinews_mentions dev and test (from `wikinews_mentions-dev/test.jsonl`)
+ - candidate entities of 50 languages (from `candidate_set_entities.jsonl`)
+ - English wikipedia_pairs to fine-tune models (from `wikipedia_pairs-dev/train.jsonl`)
+
+Raw data files are in [`raw.tar.gz`](raw.tar.gz), which contains:
+```
+[...] 535M Feb 24 22:06 candidate_set_entities.jsonl
+[...] 9.8M Feb 24 22:06 wikinews_mentions-dev.jsonl
+[...]  35M Feb 24 22:06 wikinews_mentions-test.jsonl
+[...]  24M Feb 24 22:06 wikipedia_pairs-dev.jsonl
+[...] 283M Feb 24 22:06 wikipedia_pairs-train.jsonl
+```
+
+**Below is from the original [readme](https://github.com/google-research/google-research/blob/master/dense_representations_for_entity_retrieval/mel/mewsli-x.md)**
+
+# Mewsli-X
+
+Mewsli-X is a multilingual dataset of entity mentions appearing in
+[WikiNews](https://www.wikinews.org/) and
+[Wikipedia](https://www.wikipedia.org/) articles, that have been automatically
+linked to [WikiData](https://www.wikidata.org/) entries.
+
+The primary use case is to evaluate transfer-learning in the zero-shot
+cross-lingual setting of the
+[XTREME-R benchmark suite](https://sites.research.google/xtremer):
+
+1.  Fine-tune a pretrained model on English Wikipedia examples;
+2.  Evaluate on WikiNews in other languages &mdash; **given an *entity mention*
+    in a WikiNews article, retrieve the correct *entity* from the predefined
+    candidate set by means of its textual description.**
+
+Mewsli-X constitutes a *doubly zero-shot* task by construction: at test time, a
+model has to contend with different languages and a different set of entities
+from those observed during fine-tuning.
+
+👉 For data examples and other editions of Mewsli, see [README.md](https://github.com/google-research/google-research/blob/master/dense_representations_for_entity_retrieval/mel/README.md).
+
+👉 Consider submitting to the
+**[XTREME-R leaderboard](https://sites.research.google/xtremer)**. The XTREME-R
+[repository](https://github.com/google-research/xtreme) includes code for
+getting started with training and evaluating a baseline model in PyTorch.
+
+👉 Please cite this paper if you use the data/code in your work: *[XTREME-R:
+Towards More Challenging and Nuanced Multilingual Evaluation (Ruder et al.,
+2021)](https://aclanthology.org/2021.emnlp-main.802.pdf)*.
+
+> _**NOTE:** New evaluation results on Mewsli-X are **not** directly comparable to those reported in the paper because the dataset required further updates, as detailed [below](#updated-dataset). This does not affect the overall findings of the paper._
+
+```
+@inproceedings{ruder-etal-2021-xtreme,
+    title = "{XTREME}-{R}: Towards More Challenging and Nuanced Multilingual Evaluation",
+    author = "Ruder, Sebastian  and
+      Constant, Noah  and
+      Botha, Jan  and
+      Siddhant, Aditya  and
+      Firat, Orhan  and
+      Fu, Jinlan  and
+      Liu, Pengfei  and
+      Hu, Junjie  and
+      Garrette, Dan  and
+      Neubig, Graham  and
+      Johnson, Melvin",
+    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
+    month = nov,
+    year = "2021",
+    address = "Online and Punta Cana, Dominican Republic",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.emnlp-main.802",
+    doi = "10.18653/v1/2021.emnlp-main.802",
+    pages = "10215--10245",
+}
+```