.

BiSECT.json

@@ -4,10 +4,10 @@
       "has-leaderboard": "no",
       "leaderboard-url": "N/A",
       "leaderboard-description": "N/A",
-      "website": "https://github.com/mounicam/BiSECT",
-      "data-url": "https://github.com/mounicam/BiSECT/tree/main/bisect",
-      "paper-url": "https://aclanthology.org/2021.emnlp-main.500/",
-      "paper-bibtext": "@inproceedings{kim-etal-2021-bisect,\n    title = \"{B}i{SECT}: Learning to Split and Rephrase Sentences with Bitexts\",\n    author = \"Kim, Joongwon  and\n      Maddela, Mounica  and\n      Kriz, Reno  and\n      Xu, Wei  and\n      Callison-Burch, Chris\",\n    booktitle = \"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing\",\n    month = nov,\n    year = \"2021\",\n    address = \"Online and Punta Cana, Dominican Republic\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.emnlp-main.500\",\n    pages = \"6193--6209\"\n}\n",
+      "website": "[Link](https://github.com/mounicam/BiSECT)",
+      "data-url": "[Link](https://github.com/mounicam/BiSECT/tree/main/bisect)",
+      "paper-url": "[Link](https://aclanthology.org/2021.emnlp-main.500/)",
+      "paper-bibtext": "```\n@inproceedings{kim-etal-2021-bisect,\n    title = \"{B}i{SECT}: Learning to Split and Rephrase Sentences with Bitexts\",\n    author = \"Kim, Joongwon  and\n      Maddela, Mounica  and\n      Kriz, Reno  and\n      Xu, Wei  and\n      Callison-Burch, Chris\",\n    booktitle = \"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing\",\n    month = nov,\n    year = \"2021\",\n    address = \"Online and Punta Cana, Dominican Republic\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.emnlp-main.500\",\n    pages = \"6193--6209\"\n}\n```",
       "contact-name": "Joongwon Kim, Mounica Maddela, Reno Kriz",
       "contact-email": "jkim0118@seas.upenn.edu, mmaddela3@gatech.edu, rkriz1@jh.edu"
     },
@@ -28,13 +28,16 @@
     },
     "credit": {},
     "structure": {
-      "data-fields": "gem_id - (string) a unique identifier for the instance\nsource_sentence - (string) sentence to be simplified\ntarget_sentence - (string) simplified text that was split and rephrased",
-      "structure-example": "{\n   \"gem_id\": \"bisect-train-0\",\n   \"source_sentence\": \"The report on the visit to Bhutan states that the small community has made the task of coordination less complex and success is manifested in the synchronized programming cycles which now apply to all but one of the agencies ( the World Health Organization ) .\",\n   \"target_sentence\": \"The report on the visit to Bhutan says that the small community has made the coordination work less complex . Success manifests itself in synchronized programming cycles that now apply to all but one organism ( the World Health Organization ) .\"\n}",
+      "data-fields": "- `gem_id` (string): a unique identifier for the instance\n- `source_sentence` (string): sentence to be simplified\n- `target_sentence` (string)\" simplified text that was split and rephrased",
+      "structure-example": "```\n{\n   \"gem_id\": \"bisect-train-0\",\n   \"source_sentence\": \"The report on the visit to Bhutan states that the small community has made the task of coordination less complex and success is manifested in the synchronized programming cycles which now apply to all but one of the agencies ( the World Health Organization ) .\",\n   \"target_sentence\": \"The report on the visit to Bhutan says that the small community has made the coordination work less complex . Success manifests itself in synchronized programming cycles that now apply to all but one organism ( the World Health Organization ) .\"\n}\n```",
       "structure-splits": "For the main English BiSECT dataset, the splits are as follows: 1. Train (n=928440) 2. Validation (n=9079) 3. Test (n=583) Additional challenge sets were derived from the data presented in the paper. Please refer to the challenge set sections. The train/validation/test splits for other languages are as follows: German (n=184638/n=864/n=735) Spanish (n=282944/n=3638/n=3081) French (n=491035/n=2400/n=1036)",
       "structure-description": "N/A",
       "structure-labels": "N/A",
       "structure-splits-criteria": "While all training data were derived from subsets of the OPUS corpora, different source subsets were used for training v.s., validation and testing. The training set comprised more web crawl data, whereas development and test sets comprised EMEA and EU texts. Details can be found in the BiSECT paper.",
       "structure-outlier": ""
+    },
+    "what": {
+      "dataset": "This dataset is composed of 1 million complex sentences with the task to split and simplify them while retaining the full meaning. Compared to other simplification corpora, BiSECT requires more significant edits. BiSECT offers splits in English, German, French, and Spanish."
     }
   },
   "context": {