Data Card.

OrangeSum.json

@@ -14,7 +14,7 @@
       "additional-splits-capacicites": "N/A"
     },
     "starting": {
-      "research-pointers": "Papers about abstractive summarization using seq2seq models:\nhttps://aclanthology.org/K16-1028/\nhttps://aclanthology.org/P17-1099/\nhttps://aclanthology.org/2020.acl-main.703\nhttps://aclanthology.org/2021.emnlp-main.740/\n\nPapers about (pretrained) Transformers:\nhttps://papers.nips.cc/paper/2017/hash/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html\nhttps://aclanthology.org/N19-1423/\nhttps://aclanthology.org/2020.acl-main.703",
+      "research-pointers": "Papers about abstractive summarization using seq2seq models:\n\n- [Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond](https://aclanthology.org/K16-1028/)\n- [Get To The Point: Summarization with Pointer-Generator Networks](https://aclanthology.org/P17-1099/)\n- [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://aclanthology.org/2020.acl-main.703)\n- [BARThez: a Skilled Pretrained French Sequence-to-Sequence Model](https://aclanthology.org/2021.emnlp-main.740/)\n\nPapers about (pretrained) Transformers:\n\n- [Attention is All you Need](https://papers.nips.cc/paper/2017/hash/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html)\n- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://aclanthology.org/N19-1423/)",
       "technical-terms": "No unique technical words in this data card."
     }
   },
@@ -79,7 +79,11 @@
     "languages": {
       "is-multilingual": "no",
       "license": "other: Other license",
-      "task-other": "N/A"
+      "task": "Summarization",
+      "task-other": "N/A",
+      "language-names": [
+        "French"
+      ]
     },
     "credit": {},
     "structure": {}

README.md

@@ -15,7 +15,7 @@ size_categories:
 source_datasets:
 - original
 task_categories:
-- unknown
+- summarization
 task_ids:
 - unknown
 ---
@@ -102,6 +102,13 @@ no
 <!-- scope: telescope -->
 no
 
+#### Covered Languages
+
+<!-- quick -->
+<!-- info: What languages/dialects are covered in the dataset? -->
+<!-- scope: telescope -->
+`French`
+
 #### License
 
 <!-- quick -->
@@ -109,6 +116,12 @@ no
 <!-- scope: telescope -->
 other: Other license
 
+#### Primary Task
+
+<!-- info: What primary task does the dataset support? -->
+<!-- scope: telescope -->
+Summarization
+
 
 ### Credit
 
@@ -152,15 +165,16 @@ no
 <!-- info: Getting started with in-depth research on the task. Add relevant pointers to resources that researchers can consult when they want to get started digging deeper into the task. -->
 <!-- scope: microscope -->
 Papers about abstractive summarization using seq2seq models:
-https://aclanthology.org/K16-1028/
-https://aclanthology.org/P17-1099/
-https://aclanthology.org/2020.acl-main.703
-https://aclanthology.org/2021.emnlp-main.740/
+
+- [Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond](https://aclanthology.org/K16-1028/)
+- [Get To The Point: Summarization with Pointer-Generator Networks](https://aclanthology.org/P17-1099/)
+- [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://aclanthology.org/2020.acl-main.703)
+- [BARThez: a Skilled Pretrained French Sequence-to-Sequence Model](https://aclanthology.org/2021.emnlp-main.740/)
 
 Papers about (pretrained) Transformers:
-https://papers.nips.cc/paper/2017/hash/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html
-https://aclanthology.org/N19-1423/
-https://aclanthology.org/2020.acl-main.703
+
+- [Attention is All you Need](https://papers.nips.cc/paper/2017/hash/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html)
+- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://aclanthology.org/N19-1423/)
 
 #### Technical Terms