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Datasets:
saidutta69
/
Odia-Web-Corpus-v3

Tasks:
Text Generation
Fill-Mask
Sentence Similarity
Modalities:
Text
Formats:
parquet
Languages:
Oriya
Size:
100K - 1M
Tags:
odia
indic
multilingual
web-corpus
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
Dataset Viewer
Auto-converted to Parquet Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
text: string
source: string
domain: string
url: string
title: string
language_purity: double
word_count: int64
odia_char_count: int64
english_ratio: double
has_html: bool
has_instruction_artifacts: bool
has_transliteration: bool
compression_ratio: double
char_entropy: double
quality_score: double
license: string
timestamp: string
split: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 2347
to
{'text': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              text: string
              source: string
              domain: string
              url: string
              title: string
              language_purity: double
              word_count: int64
              odia_char_count: int64
              english_ratio: double
              has_html: bool
              has_instruction_artifacts: bool
              has_transliteration: bool
              compression_ratio: double
              char_entropy: double
              quality_score: double
              license: string
              timestamp: string
              split: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 2347
              to
              {'text': Value('string')}
              because column names don't match

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Odia Web Corpus v3

RACER IS OP

Third iteration of the Odia web corpus with enhanced deduplication, quality filtering, and standardized Parquet splits for pretraining and evaluation.

Dataset Details

  • Language: Odia (ISO 639-3: or)
  • Format: Parquet (columnar, compressed)
  • Splits: train (900K), validation (50K), test (50K)
  • License: CC-BY-SA-4.0

Data Fields

Field Type Description
text string Cleaned and filtered document text

Usage 

from datasets import load_dataset

ds = load_dataset("saidutta69/Odia-Web-Corpus-v3")
print(ds["train"][0]["text"][:200])

Citation 

@misc{odia-web-corpus-v3,
  author = {Sai Dutta},
  title = {Odia Web Corpus v3},
  year = {2024},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/saidutta69/Odia-Web-Corpus-v3}
}
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