Datasets:

The dataset viewer is not available for this subset.
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/src/worker/job_runners/config/split_names.py", line 153, in compute
                  compute_split_names_from_info_response(
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 125, in compute_split_names_from_info_response
                  config_info_response = get_previous_step_or_raise(kind="config-info", dataset=dataset, config=config)
                File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 591, in get_previous_step_or_raise
                  raise CachedArtifactError(
              libcommon.simple_cache.CachedArtifactError: The previous step failed.
              
              During handling of the above exception, another exception occurred:
              
              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 92, in _split_generators
                  pa_tables = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 93, in <listcomp>
                  pa.Table.from_pylist(cast_to_python_objects([example], only_1d_for_numpy=True))
                File "pyarrow/table.pxi", line 1877, in pyarrow.lib._Tabular.from_pylist
                File "pyarrow/table.pxi", line 5399, in pyarrow.lib._from_pylist
                File "pyarrow/table.pxi", line 3974, in pyarrow.lib.Table.from_arrays
                File "pyarrow/table.pxi", line 1449, in pyarrow.lib._sanitize_arrays
                File "pyarrow/table.pxi", line 1430, in pyarrow.lib._schema_from_arrays
                File "pyarrow/array.pxi", line 343, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 42, in pyarrow.lib._sequence_to_array
                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.ArrowCapacityError: array cannot contain more than 2147483646 bytes, have 2197570605
              
              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 71, 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.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

CIRAL Baselines and Indexes

Reproduction

This repo provides the CIRAL's built indexes (Pre-built indexes) to reproduce baselines.

To search using the indexes:

  1. Afriberta-DPR
lang=yo # or ha, so, sw
set=train # or test

run_file=runs/run.ciral.afriberta-dpr.${lang}.${set}.txt

python -m pyserini.search.faiss \
  --encoder-class auto \
  --encoder castorini/afriberta-dpr-ptf-msmarco-ft-latin-mrtydi  \
  --topics /path/to/topics \
  --index /path/to/faiss.ciral-v1.0-${lang}-afriberta-dpr \
  --output ${run_file} --batch 128 --threads 16 --hits 1000
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