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23add19
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Files changed (3) hide show
  1. contamination_report.csv +0 -0
  2. dataset.py +2 -1
  3. postprocessing.py +43 -0
contamination_report.csv CHANGED
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dataset.py CHANGED
@@ -256,7 +256,7 @@ def get_dataframe():
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  # For "Contaminated Source" use build_dataset_url if "Model or corpus" is "corpus" and build_model_url if "Model or corpus" is "model"
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  data["Contaminated Source"] = data.apply(
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  lambda x: build_text_icon(
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- text=x["Contaminated Source"],
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  url=dataset_url_dict.get(x["Contaminated Source"], "")
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  if x["Model or corpus"] == "corpus"
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  else model_url_dict.get(x["Contaminated Source"], ""),
@@ -264,6 +264,7 @@ def get_dataframe():
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  ),
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  axis=1,
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  )
 
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  data["Train Split"] = data["Train Split"].apply(lambda x: x/100 if x else x)
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  data["Development Split"] = data["Development Split"].apply(lambda x: x/100 if x else x)
 
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  # For "Contaminated Source" use build_dataset_url if "Model or corpus" is "corpus" and build_model_url if "Model or corpus" is "model"
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  data["Contaminated Source"] = data.apply(
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  lambda x: build_text_icon(
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+ text=x["Contaminated Source"] + f" ({x['Version']})" if pd.notna(x["Version"]) else x["Contaminated Source"],
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  url=dataset_url_dict.get(x["Contaminated Source"], "")
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  if x["Model or corpus"] == "corpus"
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  else model_url_dict.get(x["Contaminated Source"], ""),
 
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  ),
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  axis=1,
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  )
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+ del data["Version"]
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  data["Train Split"] = data["Train Split"].apply(lambda x: x/100 if x else x)
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  data["Development Split"] = data["Development Split"].apply(lambda x: x/100 if x else x)
postprocessing.py ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ def load_file(filename):
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+ with open(filename, 'r') as f:
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+ header = f.readline().strip().split(";")
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+ return header, [line.strip().split(";") for line in f if line.strip()]
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+
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+ def remove_duplicates(data):
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+ keys = set()
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+ _data = []
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+ for item in data:
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+ key = tuple((item[0], item[1], item[2], item[3], item[-1]))
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+ if key in keys:
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+ continue
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+ _data += [item]
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+ keys.add(key)
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+ return _data
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+
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+ def fix_arxiv_links(data):
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+ return [[*item[:-2], item[-2].replace("arxiv.org/pdf", "arxiv.org/abs"), item[-1]] for item in data]
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+
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+ def sort_data(data):
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+ return sorted(data, key=lambda x: (x[0], x[1], x[2], x[3], x[-1]))
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+
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+ def main():
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+ header, data = load_file("contamination_report.csv")
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+ data = sort_data(data)
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+ data = remove_duplicates(data)
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+ data = fix_arxiv_links(data)
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+ print("Total datapoints:", len(data))
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+
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+ with open("contamination_report.csv", 'w') as f:
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+ f.write(";".join(header) + "\n")
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+ past_key = None
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+ for line in data:
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+ key = tuple((line[0], line[1]))
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+ if key != past_key:
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+ f.write("\n")
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+ past_key = key
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+ line = line[:3] + [""] + line[3:]
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+ f.write(";".join(line) + "\n")
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+
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+
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+ if __name__ == "__main__":
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+ main()