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Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError Message: The split names could not be parsed from the dataset config. Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 499, in get_dataset_config_info for split_generator in builder._split_generators( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 88, in _split_generators inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema File "pyarrow/table.pxi", line 5317, in pyarrow.lib.concat_tables File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: Must pass at least one table The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response for split in get_dataset_split_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 572, in get_dataset_split_names info = get_dataset_config_info( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 504, in get_dataset_config_info raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.
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YAML Metadata
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empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
description: | This dataset contains scraped data from IslamQA. It includes the original questions and embeddings of the answers. Various metadata scraped from the website, such as the category of the question, are also included. The following two models were used to generate embeddings:
- bert-base-multilingual-uncased
- bert-base-uncased
We provide embeddings of the truncated answer (to fit model limits) and the embeddings of every sentence. Sentences are tokenized using spaCy. The embeddings of the responses were provided to allow evaluation. The dataset was collected in April 2024. language:
- en
- fr
- ar
- fa
- tr
- ru
- id
- es
- pt
- hi
- ur size_categories:
- 10K<n<100K
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