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Datasets:
NLPC-UOM
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Sinhala-short-sentences

Languages: Sinhala
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    FileNotFoundError
Message:      Couldn't find a dataset script at /src/services/worker/NLPC-UOM/Sinhala-short-sentences/Sinhala-short-sentences.py or any data file in the same directory. Couldn't find 'NLPC-UOM/Sinhala-short-sentences' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in NLPC-UOM/Sinhala-short-sentences. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1508, in dataset_module_factory
                  raise FileNotFoundError(
              FileNotFoundError: Couldn't find a dataset script at /src/services/worker/NLPC-UOM/Sinhala-short-sentences/Sinhala-short-sentences.py or any data file in the same directory. Couldn't find 'NLPC-UOM/Sinhala-short-sentences' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in NLPC-UOM/Sinhala-short-sentences.

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This is the dataset used in the paper Kadupitiya, J.C.S., Ranathunga, S. and Dias, G., 2016, December. Sinhala Short Sentence Similarity Measures using Corpus-Based Simi-larity for Short Answer Grading. In 6th Workshop on South and Southeast Asian Natural Language Processing (pp. 44-53). The data set contains Sinhala short sentences generated from a flicker image data set (refer to papr for more detais). participants were asked to produce captions for 500 images. Then the similarity between these sentence pairs were manually determined, which was used as the gold data set to validate the algorithms. The code that uses this dataset to measure short sentence similarity: https://github.com/suralk/SinhalaSentenceSimilarityMeasurement

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