Datasets:

facat commited on
Commit
5081572
·
1 Parent(s): 23a1b7b
Files changed (1) hide show
  1. math23k.py +10 -8
math23k.py CHANGED
@@ -5,7 +5,7 @@ from pathlib import Path
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  import pandas as pd
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  import datasets
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- from datasets import DatasetInfo, load_dataset
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  ALPHABET = string.ascii_lowercase
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@@ -105,19 +105,16 @@ class DatasetBuilder(datasets.DatasetBuilder):
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  def _download_and_prepare(
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  self, dl_manager, verification_mode, **prepare_split_kwargs
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  ):
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- from datasets import SplitDict
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-
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  downloaded_files = dl_manager.download(_DATA_FILES)
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- print(downloaded_files)
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- self.info.solution_files = downloaded_files
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- df=pd.read_csv(downloaded_files[0])
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- print(df)
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  split_dict = SplitDict(dataset_name=self.name)
 
 
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  self.info.splits = split_dict
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  self.info.download_size = dl_manager.downloaded_size
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  def as_dataset(self, split, **kwargs):
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- df = pd.read_csv(self.info.solution_files[0])
 
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  ds = load_dataset("Gxg/Math23K", self.config.name, split=split)
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  ds = ds.map(get_expre).filter(regular)
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  ds = ds.add_column("solution", df["answers"])
@@ -126,4 +123,9 @@ class DatasetBuilder(datasets.DatasetBuilder):
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  "solution_human": solution_human(exa["solution"], exa["num_list"])
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  }
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  )
 
 
 
 
 
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  return ds
 
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  import pandas as pd
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  import datasets
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+ from datasets import DatasetInfo, SplitDict, SplitInfo, load_dataset
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  ALPHABET = string.ascii_lowercase
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  def _download_and_prepare(
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  self, dl_manager, verification_mode, **prepare_split_kwargs
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  ):
 
 
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  downloaded_files = dl_manager.download(_DATA_FILES)
 
 
 
 
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  split_dict = SplitDict(dataset_name=self.name)
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+ split_info = SplitInfo(name="train", shard_lengths=downloaded_files[0])
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+ split_dict.add(split_info)
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  self.info.splits = split_dict
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  self.info.download_size = dl_manager.downloaded_size
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  def as_dataset(self, split, **kwargs):
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+ print(self.info)
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+ df = pd.read_csv(self.info.splits[split].shard_lengths)
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  ds = load_dataset("Gxg/Math23K", self.config.name, split=split)
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  ds = ds.map(get_expre).filter(regular)
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  ds = ds.add_column("solution", df["answers"])
 
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  "solution_human": solution_human(exa["solution"], exa["num_list"])
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  }
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  )
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+ ds = ds.select_columns(["original_text", "solution_human"])
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+
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+ ds = ds.rename_columns(
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+ {"original_text": "question", "solution_human": "answer"}
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+ )
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  return ds