albertvillanova HF staff commited on
Commit
12a7f2a
1 Parent(s): e06d807

Support streaming (#2)

Browse files

- Host data file (8943dd1aa089650d3cd55d39b609840337d83cd5)
- Update loading script with local data file (083b1176f2258d5b9e0340c6ff445d15e7491cba)

Files changed (2) hide show
  1. data.zip +3 -0
  2. hate_speech18.py +10 -24
data.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:405c9bf2a8fb08ba7d26d34e7aa32d53830da0eec1e6a9c82b2aa7f19b11104a
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+ size 3185028
hate_speech18.py CHANGED
@@ -47,7 +47,7 @@ forums posts have been sampled from several subforums and split into sentences.
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  have been manually labelled as containing hate speech or not, according to certain annotation guidelines.
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  """
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- _DATA_URL = "https://github.com/Vicomtech/hate-speech-dataset/archive/master.zip"
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  class HateSpeech18(datasets.GeneratorBasedBuilder):
@@ -75,35 +75,21 @@ class HateSpeech18(datasets.GeneratorBasedBuilder):
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  return [
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  datasets.SplitGenerator(
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- name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(dl_dir, "hate-speech-dataset-master")}
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  ),
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  ]
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- def _generate_examples(self, filepath):
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-
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- with open(os.path.join(filepath, "annotations_metadata.csv"), encoding="utf-8") as csv_file:
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-
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- csv_reader = csv.reader(
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  csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
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  )
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-
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- next(csv_reader)
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-
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  for idx, row in enumerate(csv_reader):
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-
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- file_id, user_id, subforum_id, num_contexts, label = row
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-
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- all_files_path = os.path.join(filepath, "all_files")
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-
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- path = os.path.join(all_files_path, file_id + ".txt")
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-
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- with open(path, encoding="utf-8") as file:
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- text = file.read()
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-
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  yield idx, {
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  "text": text,
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- "user_id": user_id,
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- "subforum_id": subforum_id,
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- "num_contexts": num_contexts,
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- "label": label,
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  }
 
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  have been manually labelled as containing hate speech or not, according to certain annotation guidelines.
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  """
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+ _DATA_URL = "data.zip"
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  class HateSpeech18(datasets.GeneratorBasedBuilder):
 
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  return [
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  datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN, gen_kwargs={"data_dir": os.path.join(dl_dir, "data")}
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  ),
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  ]
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+ def _generate_examples(self, data_dir):
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+ all_files_path = os.path.join(data_dir, "all_files")
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+ with open(os.path.join(data_dir, "annotations_metadata.csv"), encoding="utf-8") as csv_file:
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+ csv_reader = csv.DictReader(
 
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  csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
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  )
 
 
 
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  for idx, row in enumerate(csv_reader):
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+ text_path = os.path.join(all_files_path, row.pop("file_id") + ".txt")
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+ with open(text_path, encoding="utf-8") as text_file:
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+ text = text_file.read()
 
 
 
 
 
 
 
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  yield idx, {
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  "text": text,
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+ **row,
 
 
 
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  }