Sebastian Gehrmann commited on
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1 Parent(s): 5648408
Files changed (3) hide show
  1. dataset_infos.json +1 -1
  2. wiki_cat_sum.json +10 -6
  3. wiki_cat_sum.py +13 -10
dataset_infos.json CHANGED
@@ -1 +1 @@
1
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wiki_cat_sum.json CHANGED
@@ -127,10 +127,10 @@
127
  "has-leaderboard": "no",
128
  "leaderboard-url": "N/A",
129
  "leaderboard-description": "N/A",
130
- "website": "https://github.com/lauhaide/WikiCatSum",
131
- "data-url": "https://datashare.ed.ac.uk/handle/10283/3368",
132
- "paper-url": "https://arxiv.org/abs/1906.04687",
133
- "paper-bibtext": "@inproceedings{perez-beltrachini-etal-2019-generating,\n title = \"Generating Summaries with Topic Templates and Structured Convolutional Decoders\",\n author = \"Perez-Beltrachini, Laura and\n Liu, Yang and\n Lapata, Mirella\",\n booktitle = \"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics\",\n month = jul,\n year = \"2019\",\n address = \"Florence, Italy\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/P19-1504\",\n doi = \"10.18653/v1/P19-1504\",\n}",
134
  "contact-name": "Laura Perez-Beltrachini",
135
  "contact-email": "lperez@ed.ac.uk"
136
  },
@@ -157,9 +157,13 @@
157
  "gem-added-by": "Ronald Cardenas (University of Edinburgh) Laura Perez-Beltrachini (University of Edinburgh) "
158
  },
159
  "structure": {
160
- "data-fields": "id: ID of the data example \ntitle: Is the Wikipedia article's title\nparagraphs: Is the ranked list of paragraphs from the set of crawled texts\nsummary: Is constituted by a list of sentences together with their corresponding topic label",
161
  "structure-splits": "Nb of instances in train/valid/test are 50,938/2,855/2,831",
162
- "structure-splits-criteria": "iid"
 
 
 
 
163
  }
164
  }
165
  }
127
  "has-leaderboard": "no",
128
  "leaderboard-url": "N/A",
129
  "leaderboard-description": "N/A",
130
+ "website": "[Github](https://github.com/lauhaide/WikiCatSum)",
131
+ "data-url": "[Website](https://datashare.ed.ac.uk/handle/10283/3368)",
132
+ "paper-url": "[Arxiv](https://arxiv.org/abs/1906.04687)",
133
+ "paper-bibtext": "```\n@inproceedings{perez-beltrachini-etal-2019-generating,\n title = \"Generating Summaries with Topic Templates and Structured Convolutional Decoders\",\n author = \"Perez-Beltrachini, Laura and\n Liu, Yang and\n Lapata, Mirella\",\n booktitle = \"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics\",\n month = jul,\n year = \"2019\",\n address = \"Florence, Italy\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/P19-1504\",\n doi = \"10.18653/v1/P19-1504\",\n}\n```",
134
  "contact-name": "Laura Perez-Beltrachini",
135
  "contact-email": "lperez@ed.ac.uk"
136
  },
157
  "gem-added-by": "Ronald Cardenas (University of Edinburgh) Laura Perez-Beltrachini (University of Edinburgh) "
158
  },
159
  "structure": {
160
+ "data-fields": "- `id`: ID of the data example \n- `title`: Is the Wikipedia article's title\n- `paragraphs`: Is the ranked list of paragraphs from the set of crawled texts\n- `summary`: Is constituted by a list of sentences together with their corresponding topic label",
161
  "structure-splits": "Nb of instances in train/valid/test are 50,938/2,855/2,831",
162
+ "structure-splits-criteria": "The data was split i.i.d., i.e. uniformly split into training, validation, and test datasets. ",
163
+ "structure-example": "This is a truncated example from the animal setting: \n\n```\n{'gem_id': 'animal-train-1',\n 'gem_parent_id': 'animal-train-1',\n 'id': '2652',\n 'paragraphs': [\"lytrosis (hulst) of louisiana vernon antoine brou jr. 2005. southern lepidopterists' news, 27: 7 ., ...\"],\n 'references': ['lytrosis unitaria , the common lytrosis moth, is a species of moth of the geometridae family. it is found in north america, including arkansas, georgia, iowa , massachusetts, and wisconsin. the wingspan is about 50 mm. the larvae feed on rosa, crataegus, amelanchier, acer, quercus and viburnum species.'],\n 'summary': {'text': ['lytrosis unitaria , the common lytrosis moth , is a species of moth of the geometridae family .',\n 'it is found in north america , including arkansas , georgia , iowa , massachusetts , new hampshire , new jersey , new york , north carolina , ohio , oklahoma , ontario , pennsylvania , south carolina , tennessee , texas , virginia , west virginia and wisconsin .',\n 'the wingspan is about 50 mm .',\n 'the larvae feed on rosa , crataegus , amelanchier , acer , quercus and viburnum species . '],\n 'topic': [29, 20, 9, 8]},\n 'target': 'lytrosis unitaria , the common lytrosis moth, is a species of moth of the geometridae family. it is found in north america, including arkansas, georgia, iowa , massachusetts, and wisconsin. the wingspan is about 50 mm. the larvae feed on rosa, crataegus, amelanchier, acer, quercus and viburnum species.',\n 'title': 'lytrosis unitaria'}\n```"
164
+ },
165
+ "what": {
166
+ "dataset": "WikiCatSum is an English summarization dataset in three domains: animals, companies, and film. It provides multiple paragraphs of text paired with a summary of the paragraphs."
167
  }
168
  }
169
  }
wiki_cat_sum.py CHANGED
@@ -141,7 +141,7 @@ def detokenize(text):
141
 
142
 
143
  class WikiCatSum(datasets.GeneratorBasedBuilder):
144
- """TODO: Short description of my dataset."""
145
 
146
  VERSION = datasets.Version("0.1.0")
147
 
@@ -269,15 +269,18 @@ class WikiCatSum(datasets.GeneratorBasedBuilder):
269
 
270
  # If summary is a list itself, we have multi-ref.
271
  if isinstance(data["summary"], list):
272
- detok_targets = [
273
- detokenize(" ".join(s["text"])) for s in data["summary"]
274
- ]
275
- data["target"] = detok_targets[0]
276
- data["references"] = detok_targets
277
- elif isinstance(data["summary"]["text"], list):
278
- detok_target = detokenize(" ".join(data["summary"]["text"]))
279
- data["target"] = detok_target
280
- data["references"] = [detok_target]
 
 
 
281
  # elif isinstance(data["summary"]["text"], str):
282
  # detok_target = detokenize(data["summary"]["text"])
283
  else:
141
 
142
 
143
  class WikiCatSum(datasets.GeneratorBasedBuilder):
144
+ """A summarization dataset with multiple domains."""
145
 
146
  VERSION = datasets.Version("0.1.0")
147
 
269
 
270
  # If summary is a list itself, we have multi-ref.
271
  if isinstance(data["summary"], list):
272
+ detok_targets = " ".join([
273
+ detokenize(s["text"]) for s in data["summary"]
274
+ ])
275
+
276
+ data["target"] = detok_targets
277
+ data["references"] = [detok_targets]
278
+ # elif isinstance(data["summary"]["text"], list):
279
+ # detok_target = detokenize(" ".join(data["summary"]["text"]))
280
+ # print("\n\n\n\n", detok_target)
281
+ # exit()
282
+ # data["target"] = detok_target
283
+ # data["references"] = [detok_target]
284
  # elif isinstance(data["summary"]["text"], str):
285
  # detok_target = detokenize(data["summary"]["text"])
286
  else: