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Datasets:
carlfeynman
/
Bharat_NanoDBPedia_or

Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Sub-tasks:
document-retrieval
Languages:
Oriya
Size:
1K - 10K
Tags:
text-retrieval
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
Dataset Viewer
Auto-converted to Parquet Duplicate
The dataset viewer is not available for this split.
The info cannot be fetched for the config 'corpus' of the dataset.
Error code:   InfoError
Exception:    ReadTimeout
Message:      (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: c6af4d0d-3c31-49ee-8b4d-f679abb06acf)')
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                            ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1132, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1004, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 632, in get_module
                  data_files = DataFilesDict.from_patterns(
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 689, in from_patterns
                  else DataFilesList.from_patterns(
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 592, in from_patterns
                  origin_metadata = _get_origin_metadata(data_files, download_config=download_config)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 506, in _get_origin_metadata
                  return thread_map(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
                  return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
                  return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/std.py", line 1169, in __iter__
                  for obj in iterable:
                             ^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 619, in result_iterator
                  yield _result_or_cancel(fs.pop())
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 317, in _result_or_cancel
                  return fut.result(timeout)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 456, in result
                  return self.__get_result()
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 401, in __get_result
                  raise self._exception
                File "/usr/local/lib/python3.12/concurrent/futures/thread.py", line 59, in run
                  result = self.fn(*self.args, **self.kwargs)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 485, in _get_single_origin_metadata
                  resolved_path = fs.resolve_path(data_file)
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
                                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
                  self._api.repo_info(
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
                  return method(
                         ^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
                  r = get_session().get(path, headers=headers, timeout=timeout, params=params)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 602, in get
                  return self.request("GET", url, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 589, in request
                  resp = self.send(prep, **send_kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 703, in send
                  r = adapter.send(request, **kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 96, in send
                  return super().send(request, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/adapters.py", line 690, in send
                  raise ReadTimeout(e, request=request)
              requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: c6af4d0d-3c31-49ee-8b4d-f679abb06acf)')

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Bharat-NanoBEIR: Indian Language Information Retrieval Dataset

Overview

This dataset is part of the Bharat-NanoBEIR collection, which provides information retrieval datasets for Indian languages. It is derived from the NanoBEIR project, which offers smaller versions of BEIR datasets containing 50 queries and up to 10K documents each.

Dataset Description

This particular dataset is the Odia (Oriya) version of the NanoDBPedia dataset, specifically adapted for information retrieval tasks. The translation and adaptation maintain the core structure of the original NanoBEIR while making it accessible for Odia (Oriya) language processing.

Usage

This dataset is designed for:

  • Information Retrieval (IR) system development in Odia (Oriya)
  • Evaluation of multilingual search capabilities
  • Cross-lingual information retrieval research
  • Benchmarking Odia (Oriya) language models for search tasks

Dataset Structure

The dataset consists of three main components:

  1. Corpus: Collection of documents in Odia (Oriya)
  2. Queries: Search queries in Odia (Oriya)
  3. QRels: Relevance judgments connecting queries to relevant documents

Citation

If you use this dataset, please cite:

@misc{bharat-nanobeir,
  title={Bharat-NanoBEIR: Indian Language Information Retrieval Datasets},
  year={2024},
  url={https://huggingface.co/datasets/carlfeynman/Bharat_NanoDBPedia_or}
}

Additional Information

  • Language: Odia (Oriya) (or)
  • License: CC-BY-4.0
  • Original Dataset: NanoBEIR
  • Domain: Information Retrieval

License

This dataset is licensed under CC-BY-4.0. Please see the LICENSE file for details.

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