Update Model Card with missing metadata

README.md

@@ -1,3 +1,48 @@
+---
+license: cc-by-4.0
+language:
+- en
+pretty_name: KP20K (Keyphrase Benchmark Dataset)
+size_categories:
+- 10M<n<100M
+task_categories:
+- summarization
+- sentence-similarity
+modality:
+- text
+dataset_creator: Meng et al.
+source: https://github.com/memray/seq2seq-keyphrase
+citation: |
+  @InProceedings{meng-EtAl:2017:Long,
+    author    = {Meng, Rui  and  Zhao, Sanqiang  and  Han, Shuguang  and  He, Daqing  and Brusilovsky, Peter  and Chi, Yu},
+    title     = {Deep Keyphrase Generation},
+    booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
+    month     = {July},
+    year      = {2017},
+    address   = {Vancouver, Canada},
+    publisher = {Association for Computational Linguistics},
+    pages     = {582--592},
+    url       = {http://aclweb.org/anthology/P17-1054}
+  }
+configs:
+- config_name: raw
+  data_files:
+  - split: train
+    path:
+    - train.jsonl
+  - split: validation
+    path:
+    - valid.jsonl
+  - split: test
+    path:
+    - test.jsonl
+tags:
+- huggingscience
+- science
+- keyphrase-extraction
+- keyphrase-generation
+---
+
 A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of English scientific papers. For more details about the dataset please refer the original paper - [http://memray.me/uploads/acl17-keyphrase-generation.pdf](http://memray.me/uploads/acl17-keyphrase-generation.pdf).
 
 Data source - [https://github.com/memray/seq2seq-keyphrase](https://github.com/memray/seq2seq-keyphrase)
@@ -171,4 +216,4 @@ Please cite the works below if you use this dataset in your work.
 
 
 ## Contributions
-Thanks to [@debanjanbhucs](https://github.com/debanjanbhucs), [@dibyaaaaax](https://github.com/dibyaaaaax), [@UmaGunturi](https://github.com/UmaGunturi) and [@ad6398](https://github.com/ad6398) for adding this dataset
+Thanks to [@debanjanbhucs](https://github.com/debanjanbhucs), [@dibyaaaaax](https://github.com/dibyaaaaax), [@UmaGunturi](https://github.com/UmaGunturi) and [@ad6398](https://github.com/ad6398) for adding this dataset