Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   RetryableConfigNamesError
Exception:    HfHubHTTPError
Message:      504 Server Error: Gateway Time-out for url: https://huggingface.co/datasets/zainabfatima097/My_Dataset/resolve/main/README.md

<html>
<head><title>504 Gateway Time-out</title></head>
<body>
<center><h1>504 Gateway Time-out</h1></center>
</body>
</html>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 164, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1729, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1599, in dataset_module_factory
                  dataset_readme_path = api.hf_hub_download(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 5548, in hf_hub_download
                  return hf_hub_download(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f
                  return f(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1232, in hf_hub_download
                  return _hf_hub_download_to_cache_dir(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1381, in _hf_hub_download_to_cache_dir
                  _download_to_tmp_and_move(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1915, in _download_to_tmp_and_move
                  http_get(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 455, in http_get
                  r = _request_wrapper(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 388, in _request_wrapper
                  hf_raise_for_status(response)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 477, in hf_raise_for_status
                  raise _format(HfHubHTTPError, str(e), response) from e
              huggingface_hub.errors.HfHubHTTPError: 504 Server Error: Gateway Time-out for url: https://huggingface.co/datasets/zainabfatima097/My_Dataset/resolve/main/README.md
              
              <html>
              <head><title>504 Gateway Time-out</title></head>
              <body>
              <center><h1>504 Gateway Time-out</h1></center>
              </body>
              </html>

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Hindi-English Translation Dataset

πŸ“Œ Overview

This dataset consists of parallel Hindi-English text pairs intended for training and fine-tuning machine translation models. The data has been collected from various sources to ensure diversity in sentence structures and vocabulary.

πŸ“‚ Dataset Structure

  • Source Language: Hindi (hi)
  • Target Language: English (en)
  • Format: CSV / JSON / TXT
  • Columns:
    • source_text: The original Hindi sentence
    • target_text: The corresponding English translation

πŸ“Š Data Collection

The dataset has been curated from multiple publicly available resources, including open datasets, literary texts, and crowd-sourced translations. Low-quality translations have been filtered out to improve accuracy.

πŸ”₯ Use Cases

  • Training machine translation models
  • Fine-tuning pre-trained models like IndicTrans
  • Cross-lingual NLP research
  • Evaluating Hindi-English translation quality

πŸš€ How to Use

Load the dataset in Python:

from datasets import load_dataset

dataset = load_dataset("your-huggingface-username/your-dataset-name")
print(dataset)
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Models trained or fine-tuned on zainabfatima097/My_Dataset