Datasets:

Modalities:
Text
Formats:
parquet
Languages:
Thai
Libraries:
Datasets
pandas
License:
system HF staff commited on
Commit
c554c2d
1 Parent(s): b9452a3

Update files from the datasets library (from 1.7.0)

Browse files

Release notes: https://github.com/huggingface/datasets/releases/tag/1.7.0

Files changed (2) hide show
  1. README.md +2 -1
  2. best2009.py +3 -3
README.md CHANGED
@@ -17,6 +17,7 @@ task_categories:
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  - structure-prediction
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  task_ids:
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  - structure-prediction-other-word-tokenization
 
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  ---
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  # Dataset Card for `best2009`
@@ -24,7 +25,7 @@ task_ids:
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  ## Table of Contents
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  - [Dataset Description](#dataset-description)
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  - [Dataset Summary](#dataset-summary)
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- - [Supported Tasks](#supported-tasks-and-leaderboards)
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  - [Languages](#languages)
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  - [Dataset Structure](#dataset-structure)
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  - [Data Instances](#data-instances)
 
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  - structure-prediction
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  task_ids:
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  - structure-prediction-other-word-tokenization
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+ paperswithcode_id: null
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  ---
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  # Dataset Card for `best2009`
 
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  ## Table of Contents
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  - [Dataset Description](#dataset-description)
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  - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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  - [Languages](#languages)
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  - [Dataset Structure](#dataset-structure)
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  - [Data Instances](#data-instances)
best2009.py CHANGED
@@ -114,9 +114,9 @@ class Best2009(datasets.GeneratorBasedBuilder):
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  ]
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  def _generate_examples(self, filepath, split):
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- for fname in sorted(Path(filepath).rglob("*.txt")):
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  with open(fname, encoding="utf-8") as f:
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- for _id, line in enumerate(f):
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  chars = []
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  char_types = []
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  is_beginnings = []
@@ -130,7 +130,7 @@ class Best2009(datasets.GeneratorBasedBuilder):
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  char_types.append(self._CHAR_TYPE_FLATTEN.get(token[i], "o"))
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  is_beginning = 1 if i == 0 else 0
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  is_beginnings.append(is_beginning)
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- yield _id, {
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  "fname": fname.name,
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  "char": chars,
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  "char_type": char_types,
 
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  ]
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  def _generate_examples(self, filepath, split):
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+ for file_idx, fname in enumerate(sorted(Path(filepath).rglob("*.txt"))):
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  with open(fname, encoding="utf-8") as f:
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+ for line_idx, line in enumerate(f):
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  chars = []
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  char_types = []
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  is_beginnings = []
 
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  char_types.append(self._CHAR_TYPE_FLATTEN.get(token[i], "o"))
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  is_beginning = 1 if i == 0 else 0
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  is_beginnings.append(is_beginning)
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+ yield f"{file_idx}_{line_idx}", {
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  "fname": fname.name,
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  "char": chars,
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  "char_type": char_types,