qualcomm
Datasets
All datasets matching “qualcomm”qualcomm-exercise-video-dataset-benchmark
Dataset Card for Qualcomm Exercise Video Dataset (Benchmark)
This is the benchmark split of the dataset as described here
This is a FiftyOne dataset with 74 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/qualcomm-exercise-video-dataset-benchmark.qualcomm-interactive-video-dataset
Dataset Card for Qualcomm Interactive Video Dataset
This is a FiftyOne dataset with 2900 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/qualcomm-interactive-video-dataset")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/qualcomm-interactive-video-dataset.QIVD
QIVD: Qualcomm Interactive Video Dataset
A collection of 2,900 video clips paired with visual question-answer annotations.
Each clip is associated with exactly one question drawn from one of 13 fine-grained QA categories,
a full-sentence answer, a concise short answer, and a timestamp pinpointing the relevant moment in the video.
Overview
QIVD is a dataset and benchmark for online, situated audio-visual question answering. Unlike existing video QA benchmarks… See the full description on the dataset page: https://huggingface.co/datasets/Qualcomm-AI-Research/QIVD.M3Kang
M3Kang: A Multilingual Multimodal Mathematical Reasoning Dataset from Kangaroo Problems
Introduction
Despite state-of-the-art vision-language models (VLMs) have demonstrated strong reasoning capabilities, their performance in multilingual mathematical reasoning remains underexplored. To bridge this gap, we introduce M3Kang, the first massively multilingual, multimodal mathematical reasoning dataset for VLMs. It is derived from the Kangaroo Math Competition, the world’s… See the full description on the dataset page: https://huggingface.co/datasets/qualcomm/M3Kang.qualcomm-interactive-cooking-dataset-ego-mistake-corrections
Qualcomm Interactive Cooking Dataset: Ego Mistake Corrections Benchmark
Description
This dataset contains cooking videos with timestamped instruction and feedback for task guidance.
Each row corresponds to one video and provides aligned lists of utterance text, utterance type, and timestamp.
Dataset Details
Release files:
annotations/annotations.json
videos/*.MP4
Release statistics:
Total videos: 40
Total released annotations: 1,597
Text type counts in… See the full description on the dataset page: https://huggingface.co/datasets/qualcomm/qualcomm-interactive-cooking-dataset-ego-mistake-corrections.qualcomm-interactive-cooking-dataset
Qualcomm Interactive Cooking Dataset
Description
The Qualcomm Interactive Cooking Dataset is designed to evaluate the ability of multi-modal LLMs to provide step-by-step instructions, focusing on the cooking domain.
Dataset Details
The Qualcomm Interactive Cooking Dataset includes step-by-step instructions and feedback pairs. The videos are from the CaptainCook4D dataset - licensed under Apache 2.0.
Dataset Collection Process
The text annotations and… See the full description on the dataset page: https://huggingface.co/datasets/qualcomm/qualcomm-interactive-cooking-dataset.