Data · dataset · 2022
hf-internal-testing/spaghetti-video-8-frames
Listed in Hugging Face Datasets
This is the code that was used to generate this video: from decord import VideoReader, cpu from huggingface_hub import hf_hub_download import numpy as np np.random.seed(0) def sample_frame_indices(clip_len, frame_sample_rate, seg_len): converted_len = int(clip_len
Description
- frame_sample_rate) end_idx = np.random.randint(converted_len, seg_len) start_idx = end_idx - converted_len indices = np.linspace(start_idx, end_idx, num=clip_len) indices = np.clip(indices, start_idx… See the full description on the dataset page: huggingface.co/datasets/hf-internal-testing/spaghetti-video-8-frames.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/hf-internal-testing/spaghetti-video-8-frames ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/hf-internal-testing/spaghetti-video-8-frames ↗
metadata API · from Hugging Face
Topics
- From keywords
- Computer Science & AI
- Inferred from text
- Video 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | hf-internal-testing/spaghetti-video-8-frames | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].local:modality:video | enrichment · Hugging Face | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |