Datasets:

QuarkML
/

English-Hindi-Cleaned-Subset-IIT-Bombay

Tasks:

Translation

Languages:

English

Hindi

Size:

100K<n<1M

License:

Dataset card Files Files and versions

xet

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train

The dataset viewer is not available for this split.

Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Column() changed from object to string in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  df = pandas_read_json(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1402, in _parse
                  self.obj = DataFrame(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/frame.py", line 778, in __init__
                  mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
                  return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
                  index = _extract_index(arrays)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 680, in _extract_index
                  raise ValueError(
              ValueError: Mixing dicts with non-Series may lead to ambiguous ordering.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3357, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2111, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2315, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 163, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0

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IIT-Bombay EN–HI Subset

A filtered subset of the IIT-Bombay English–Hindi Parallel Corpus, created by preprocessing and selecting the highest-quality sentence pairs for research on English→Hindi translation.

Dataset Summary

Language pair: English ↔ Hindi
Total sentences: 227122

This subset was produced by:

Cleaning: removing non-UTF8, overly short/long, and misaligned pairs
Filtering: selecting sentences with high-quality alignment scores
Normalization: lowercasing English, standardizing Hindi Unicode forms

Supported Tasks and Leaderboards

Task: Machine Translation (English→Hindi)
No benchmark leaderboard yet—intended primarily as a study dataset.

Languages

Language	Code
English	`en`
Hindi	`hi`

Dataset Structure

This subset is provided as two parallel text files:

english_subset.txt: one English sentence per line
hindi_subset.txt: corresponding Hindi sentence per line (Devanagari)

Line i in both files form a parallel pair. Example (line 1 in both files):


english\_subset.txt: How are you doing today?

hindi\_subset.txt:  आप आज कैसे हैं?

Usage

from datasets import load_dataset

# load from local files
data_files = {
    'train': ['english_subset.txt', 'hindi_subset.txt']
}
dataset = load_dataset(
    'text',
    data_files=data_files,
    split='train'
)
# then rename columns
paired = dataset.map(lambda x, idx: {'en': x['text'][idx], 'hi': dataset['train']['text'][idx]}, with_indices=True)
print(paired[0])

Alternatively, if hosted on HF:

from datasets import load_dataset

dataset = load_dataset("QuarkML/English-Hindi-Cleaned-Subset-IIT-Bombay")
print(dataset['train'][0])

License

This subset is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Use, share, and adapt for non-commercial purposes only, give appropriate credit, and distribute derivatives under the same license.

Full details: https://creativecommons.org/licenses/by-nc-sa/4.0/

Acknowledgements

Original corpus by A. Kunchukuttan et al. (LREC 2018).
Maintained and subset by Sidharth GN / Quark Machine Learning.

Contact

If you encounter issues or have questions, please open an issue on this repo or contact info@quarkml.com.

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