Datasets:

mahendraphd
/

Indic_Hindi-English_Parallel_Speech

Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label Indic_Hindi-English_Parallel_Speech@d1d55e15c5bedb2788af730bbfe23fccf0352db6
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2567, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2134, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1995, in cast_array_to_feature
                  return feature.cast_storage(array)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1172, in cast_storage
                  [self._strval2int(label) if label is not None else None for label in storage.to_pylist()]
                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1101, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label Indic_Hindi-English_Parallel_Speech@d1d55e15c5bedb2788af730bbfe23fccf0352db6

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Dataset Summary

This repository contains the Hindi–English Speech-to-Speech Translation (S2ST) dataset introduced in the paper:

Benchmarking Hindi-to-English Direct Speech-to-Speech Translation with Synthetic Data

The dataset is designed to support research on direct speech-to-speech translation (S2ST) for the low-resource language pair Hindi → English. The dataset consists of parallel speech pairs and their transcripts, where:

English speech is natural speech collected from TED Talks.

Hindi speech is synthesized from translated Hindi text using a TTS system.

Dataset Structure

The dataset is divided into three splits:

train
dev
test

Each split is provided as a compressed .zip file:

Train Set

train/
├── en/                   #english audio directory
├── hi/                   #hindi audio directory
└── train.tsv             #transcripts file

Dev Set

dev/
├── en/                   #english audio directory
├── hi/                   #hindi audio directory
└── dev.tsv               #transcripts file

Test Set

test/
├── en/                   #english audio directory
├── hi/                   #hindi audio directory
└── test.tsv              #transcripts file

Transcript file structure

hi_audio	    en_audio	    hi_text  	       en_text
hi/000001.wav	en/000001.wav	हिंदी वाक्य            English sentence
hi/000002.wav	en/000002.wav	हिंदी वाक्य            English sentence

To download the dataset, clone the repo and extract

git clone https://huggingface.co/datasets/mahendraphd/Indic_Hindi-English_Parallel_Speech
cd Indic_Hindi-English_Parallel_Speech

Loading the Dataset in Python

The dataset can be loaded directly from Hugging Face using the datasets library.

from datasets import load_dataset

dataset = load_dataset("mahendraphd/Indic_Hindi-English_Parallel_Speech")

print(dataset)

Citation

If you use this dataset in your research or applications, please cite the Indic_Hi_En_S2ST:

@article{gupta2025_Indic_Hi_En_S2ST,
  title={Benchmarking Hindi-to-English Direct Speech-to-Speech Translation with Synthetic Data},
  author={Gupta, Mahendra and Dutta, Maitreyee and Maurya, Chandresh Kumar},
  journal={Language Resources and Evaluation},
  year={2025},
  publisher={Springer},
  doi={10.1007/s10579-025-09827-2}
}

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