American Sign Language Video Dataset
Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- mit
- Source / creator
- akasheroor/American-Sign-Language-Dataset
- Collection method
- The publisher scraped ASL word videos from multiple online sources, then preprocessed them for consistency: each clip is constrained to ≤10 MB, with normalized formatting for ML pipelines. Words are organized into class folders with a minimum of 30 examples each to support supervised learning and few-shot recognition baselines.
- Coverage start
- Not documented
- Coverage end
- Not documented
- Data last updated
- Not documented
- Update schedule
- Not documented
Source does not document gaps in detail; buyers should validate empirically. Likely considerations: signer demographic diversity (age, ethnicity, regional ASL dialects) is not documented; video quality and framing vary because clips were scraped from heterogeneous sources; no explicit train/val/test split is provided; the 2,208-word vocabulary is far smaller than full ASL lexicon; provenance of individual clips is not per-file attributed.
Sample structure score: 100 / 100
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
Assessed 10 sample records (JSON) on 2026-10-09. All records in the provided sample were checked.
| Check | Points | Evidence |
|---|---|---|
| Populated cells | 50 / 50 | 10 of 10 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated. |
| Consistent value types | 30 / 30 | 10 of 10 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth. |
| Consistent record shape | 20 / 20 | 10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys. |
Field-level findings and improvements
Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.
| Field | Missing cells | Most common type | Other populated types |
|---|---|---|---|
| video | 0 / 10 | object | 0 / 10 |
About this data
Video dataset of ASL gestures across 2,208 distinct words, with preprocessed frames suitable for gesture recognition and sign language research.
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py 5c43869a-5a3c-4217-81c2-ceea0ba417fd --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| video | STRUCT(bytes BLOB, path VARCHAR) | MP4 video file (≤10 MB) demonstrating a single ASL word/sign, with HuggingFace dataset path reference. |
Sample Data
Preview a sample of the data before downloading.
Public sample only. Sign in to retrieve the full dataset, including free datasets.
For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "American Sign Language Video D" })
// Found: 5c43869a-5a3c-4217-81c2-ceea0ba417fd
get_download_url({ dataset_id: "5c43869a-5a3c-4217-81c2-ceea0ba417fd" }) // free — sign in with MCP OAuth first# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/5c43869a-5a3c-4217-81c2-ceea0ba417fd/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"