The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in NLPC-UOM/sentence_alignment_dataset-Sinhala-Tamil-English
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1865, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1846, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1240, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 592, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in NLPC-UOM/sentence_alignment_dataset-Sinhala-Tamil-English

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Dataset summary

This is a gold-standard benchmark dataset for sentence alignment, between Sinhala-English-Tamil languages. Data had been crawled from the following news websites. The aligned documents annotated in the dataset NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English had been considered to annotate the aligned sentences.

The aligned sentences have been manually annotated.

Dataset

The folder structure for each news source is as follows.

si-en
  |--army
      |--Sinhala
      |--English
      |--army.si-en
  |--hiru <br/>
      |--Sinhala 
      |--English 
      |--hiru.si-en
  |--itn 
      |--Sinhala 
      |--English 
      |--itn.si-en
  |--newsfirst
      |--Sinhala 
      |--English 
      |--newsfirst.si-en 
ta-en
si-ta

Sinhala/English/Tamil - contain the aligned documents in the two languages with respect to the news source. (army/hiru/itn/newsfirst) Aligned documents contain the same ID.
army.si-en - golden aligned sentence alignment. Each sentence is referenced according to the languageprefix_fileid_sentenceId.

Citation Information

@article{fernando2022exploiting,
title={Exploiting bilingual lexicons to improve multilingual embedding-based document and sentence alignment for low-resource languages},
author={Fernando, Aloka and Ranathunga, Surangika and Sachintha, Dilan and Piyarathna, Lakmali and Rajitha, Charith},
journal={Knowledge and Information Systems},
pages={1--42},
year={2022},
publisher={Springer}
}

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