sound-event
in-the-wild-sound-eventsVaani-Sound-Eventsound-events-video-text
Sound Events Video Text Data Notes
Dataset summary
Preparation notes and schema examples for Sound Events tasks using Video Text data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Included material
preprocess.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md —… See the full description on the dataset page: https://huggingface.co/datasets/jataylor2003/sound-events-video-text.sound-events-pointcloud-text
Sound Events Pointcloud Text Data Notes
Dataset summary
This repository contains a preparation pipeline and a small metadata sample for Sound Events work with Pointcloud Text inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated.
Included material
dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl —… See the full description on the dataset page: https://huggingface.co/datasets/zhenghuinim/sound-events-pointcloud-text.sound-events-image-depth
Sound Events Image Depth Data Notes
Dataset summary
This data card accompanies a lightweight Sound Events loader for Image Depth metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation.
Included material
preprocess.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md —… See the full description on the dataset page: https://huggingface.co/datasets/linziqi2002/sound-events-image-depth.sound-events-audio-video
Sound Events Audio Video Data Notes
Dataset summary
A documented Sound Events data-preparation workflow for Audio Video records. The bundled rows demonstrate the schema and validation path rather than pretending to be a full training corpus.
Included material
dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.… See the full description on the dataset page: https://huggingface.co/datasets/Jktlestari/sound-events-audio-video.