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American Sign Language Dataset dataset by Just Me7ss
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Dataset

American Sign Language Dataset

by Just Me7ss just-me7ss/american-sign-language-dataset
Free2AITools Nexus Index
60.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 65
R: Recency 91
Q: Quality 50
Tech Context
Vital Performance —
Source β†’
Data Integrity 60 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID just-me7ss/american-sign-language-dataset
License MIT
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_just_me7ss_american_sign_language_dataset,
  author = {Just Me7ss},
  title = {American Sign Language Dataset Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/just-me7ss/American-Sign-Language-Dataset}},
  note = {Accessed via Free2AITools.}
}
APA Style
Just Me7ss. (2026). American Sign Language Dataset [Dataset]. Free2AITools. https://huggingface.co/datasets/just-me7ss/American-Sign-Language-Dataset

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 65
Recency (R) 91
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for American Sign Language Dataset: Authority (A:29), Popularity (P:65), Recency (R:91), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Downloads
440,241

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Schema structure is shown in the Field Logic panel when available.

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Dataset Specification

American Sign Language (ASL) Dataset

Description:
This dataset contains 108,618 videos representing 2,208 ASL words, with each word having a minimum of 30 videos. The videos were scraped, collected from multiple sources, and preprocessed to ensure consistency, quality, and usability for machine learning and gesture recognition tasks. Each video is ≀10 MB, optimized for storage and model training.
The dataset can be used for ASL gesture recognition, video-based ML tasks, and model training for research and educational purposes.

Folder Structure

E:\Dataset\American-Sign-Language-Dataset β”œβ”€β”€ part1\ # First subset of videos (≀10,000 files) β”œβ”€β”€ part2\ # Second subset of videos (≀10,000 files) β”œβ”€β”€ part3\ # Third subset of videos (≀10,000 files) β”œβ”€β”€ README.md # This file └── dataset.csv # CSV file mapping words to video paths

  • Each subfolder contains ≀10,000 video files to comply with Hugging Face repository limits.
  • Videos are organized into multiple parts to prevent exceeding per-folder file limits.
  • dataset.csv maps each ASL word to its respective video path.
  • README.md provides detailed dataset information and usage instructions.

CSV File (`dataset.csv`)

The CSV contains the following columns:

Column Description
word The ASL word represented in the video
video_path Relative path to the video file in the repo

Example:

word video_path
HELLO part1/12345-HELLO.mp4
THANKS part2/67890-THANKS.mp4
YES part3/54321-YES.mp4
  • All paths are relative to the root dataset folder.

Dataset Statistics

  • Total videos: 108,618
  • Total words: 2,208

Social Proof

HuggingFace Hub
440.2KDownloads
Hub Discussions
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Source summary: Based on Hugging Face metadata. Not a recommendation.

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πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--just-me7ss--american-sign-language-dataset
slug
just-me7ss--american-sign-language-dataset
source
huggingface
author
Just Me7ss
license
MIT
tags
license:mit, modality:video, region:us, asl, american sign language, gesture recognition, video dataset

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
440,241
stars
null
forks
null

Data indexed from public sources. Updated daily.