Datasets:

lighthouse-emnlp2024
/

Clotho-Moment_CLAP_features

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, 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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Clotho-Moment CLAP features

This repository contains audio and text features of Clotho-Moment dataset extracted by CLAP.

Using these features, we can reproduce the audio moments retrieval using Clotho-Moment, which is used in lighthouse.
Please also check demo page.

How to Download?

Run the following script:

from huggingface_hub import snapshot_download

repo_id = "lighthouse-emnlp2024/Clotho-Moment_CLAP_features"
local_dir = "./"

downloaded_path = snapshot_download(
    repo_id=repo_id,
    repo_type="dataset",
    local_dir=local_dir,
    allow_patterns="*.tar.gz",
)

How to Use on Lighthouse

The .tar.gz files should be decompressed by following shell commands:

mkdir -p {LIGHTHOUSE_PATH}/features/clotho-moment/clap
mkdir -p {LIGHTHOUSE_PATH}/features/clotho-moment/clap_text
tar -zxvf clap.tar.gz -C {LIGHTHOUSE_PATH}/features/clotho-moment/clap
tar -zxvf clap_text.tar.gz -C {LIGHTHOUSE_PATH}/features/clotho-moment/clap_text

Citation

@inproceedings{munakata2025language,
  title={Language-based Audio Moment Retrieval},
  author={Munakata, Hokuto and Nishimura, Taichi and Nakada, Shota and Komatsu, Tatsuya},
  booktitle={ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={1--5},
  year={2025},
  organization={IEEE}
}

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Paper for lighthouse-emnlp2024/Clotho-Moment_CLAP_features

Language-based Audio Moment Retrieval

Paper • 2409.15672 • Published Sep 24, 2024