This repository contains audio and text features of CASTELLA dataset extracted by CLAP.
Run the following script:
from huggingface_hub import snapshot_download
repo_id = "lighthouse-emnlp2024/CASTELLA_CLAP_features"
local_dir = "./"
downloaded_path = snapshot_download(
repo_id=repo_id,
repo_type="dataset",
local_dir=local_dir,
allow_patterns="*.tar.gz",
)
The .tar.gz files should be decompressed by following shell commands:
mkdir -p {LIGHTHOUSE_PATH}/features/castella/clap
mkdir -p {LIGHTHOUSE_PATH}/features/castella/clap_text
tar -zxvf clap.tar.gz -C {LIGHTHOUSE_PATH}/features/castella/clap
tar -zxvf clap_text.tar.gz -C {LIGHTHOUSE_PATH}/features/castella/clap_text
@article{munakata2025castella,
title={CASTELLA: Long Audio Dataset with Captions and Temporal Boundaries},
author={Munakata, Hokuto and Takehiro, Imamura and Nishimura, Taichi and Komatsu, Tatsuya},
journal={arXiv preprint arXiv:2511.15131},
year={2025},
}
This repository contains audio and text features of CASTELLA dataset extracted by CLAP.
Run the following script:
from huggingface_hub import snapshot_download
repo_id = "lighthouse-emnlp2024/CASTELLA_CLAP_features"
local_dir = "./"
downloaded_path = snapshot_download(
repo_id=repo_id,
repo_type="dataset",
local_dir=local_dir,
allow_patterns="*.tar.gz",
)
The .tar.gz files should be decompressed by following shell commands:
mkdir -p {LIGHTHOUSE_PATH}/features/castella/clap
mkdir -p {LIGHTHOUSE_PATH}/features/castella/clap_text
tar -zxvf clap.tar.gz -C {LIGHTHOUSE_PATH}/features/castella/clap
tar -zxvf clap_text.tar.gz -C {LIGHTHOUSE_PATH}/features/castella/clap_text
@article{munakata2025castella,
title={CASTELLA: Long Audio Dataset with Captions and Temporal Boundaries},
author={Munakata, Hokuto and Takehiro, Imamura and Nishimura, Taichi and Komatsu, Tatsuya},
journal={arXiv preprint arXiv:2511.15131},
year={2025},
}