ruanchaves commited on
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d3df06b
1 Parent(s): 36bcc6b

Update stan_large.py

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  1. stan_large.py +38 -11
stan_large.py CHANGED
@@ -1,8 +1,8 @@
1
  """STAN large dataset"""
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  import datasets
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  import pandas as pd
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- import pickle5 as pickle
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  _CITATION = """
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  @inproceedings{maddela-etal-2019-multi,
@@ -77,22 +77,49 @@ class StanLarge(datasets.GeneratorBasedBuilder):
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  def _generate_examples(self, filepath):
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  def get_segmentation(row):
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- return row["goldtruths"][0]
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-
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- def get_alternatives(row):
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- segmentations = [{
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- "segmentation": x
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- } for x in row["goldtruths"]]
 
 
 
 
 
 
 
 
 
 
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- return segmentations[1:]
 
 
 
 
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  with open(filepath, 'rb') as f:
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- records = pickle.load(f)
 
 
 
 
 
 
 
 
 
 
 
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  records = records.to_dict("records")
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  for idx, row in enumerate(records):
 
 
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  yield idx, {
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  "index": idx,
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  "hashtag": row["hashtags"],
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- "segmentation": get_segmentation(row),
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- "alternatives": get_alternatives(row)
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  }
 
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  """STAN large dataset"""
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+ from multiprocessing.sharedctypes import Value
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  import datasets
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  import pandas as pd
 
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  _CITATION = """
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  @inproceedings{maddela-etal-2019-multi,
 
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  def _generate_examples(self, filepath):
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  def get_segmentation(row):
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+ needle = row["hashtags"]
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+ haystack = row["goldtruths"][0].strip()
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+ output = ""
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+ iterator = iter(haystack)
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+ for char in needle:
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+ output += char
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+ while True:
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+ try:
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+ next_char = next(iterator)
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+ if next_char.lower() == char.lower():
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+ break
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+ elif next_char.isspace():
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+ output = output[0:-1] + next_char + output[-1]
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+ except StopIteration:
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+ break
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+ return output
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+ def get_alternatives(row, segmentation):
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+ alts = list(set([x.strip() for x in row["goldtruths"]]))
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+ alts = [x for x in alts if x != segmentation]
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+ alts = [{"segmentation": x} for x in alts]
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+ return alts
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  with open(filepath, 'rb') as f:
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+ try:
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+ import pickle
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+ records = pickle.load(f)
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+ except ValueError:
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+ try:
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+ import pickle5 as pickle
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+ records = pickle.load(f)
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+ except ModuleNotFoundError:
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+ raise ImportError(
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+ """To be able to use stan_large, you need to install the following dependencies['pickle5']
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+ using 'pip install pickle5' for instance"""
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+ )
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  records = records.to_dict("records")
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  for idx, row in enumerate(records):
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+ segmentation = get_segmentation(row)
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+ alternatives = get_alternatives(row, segmentation)
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  yield idx, {
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  "index": idx,
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  "hashtag": row["hashtags"],
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+ "segmentation": segmentation,
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+ "alternatives": alternatives
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  }