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mp4
unknown | json
dict |
|---|---|
"AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAkRbW9vdgAAAGxtdmhkAAAAAAAAAAAAAAAAAAAD6AAABzAAAQAAAQA(...TRUNCATED) | {
"categories": "neutral",
"description": "It's me.",
"file_name": "00019.mp4",
"label": [
0
]
} |
"AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAAIZnJlZQAGvhJtZGF0AAACrwYF//+r3EXpvebZSLeWLNgg2SPu73g(...TRUNCATED) | {
"categories": "surprise",
"description": "I rember it!",
"file_name": "00020.mp4",
"label": [
1
]
} |
"AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAAIZnJlZQAEcJFtZGF0AAACrwYF//+r3EXpvebZSLeWLNgg2SPu73g(...TRUNCATED) | {
"categories": "anger",
"description": "I want go home.",
"file_name": "00021.mp4",
"label": [
2
]
} |
"AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAAIZnJlZQAKozxtZGF0AAACrwYF//+r3EXpvebZSLeWLNgg2SPu73g(...TRUNCATED) | {
"categories": "fear",
"description": "I may die.",
"file_name": "00022.mp4",
"label": [
3
]
} |
"AAAAGGZ0eXBtcDQyAAAAAGlzb21tcDQyAAG61W1vb3YAAABsbXZoZAAAAADVdA+r1XQPqwABX5ABHhCnAAEAAAEAAAAAAAAAAAA(...TRUNCATED) | {"categories":"neutral","description":"Very very long video for test.","file_name":"output.mp4","lab(...TRUNCATED) |
My Emotion Video Dataset
This dataset contains short video clips annotated with emotion categories. It is saved in .parquet format, with each row containing:
- a video (
mp4) in binary - a
jsonobject including:file_name: the name of the videolabel: list of integer emotion labelscategories: emotion name (e.g., "happy", "neutral")description: short description of the clip
Example usage
from datasets import load_dataset
ds = load_dataset("ZebangCheng/test_hf_data_6", split="train")
print(ds[0]['json'])
# {'categories': 'neutral', 'description': "It's me.", 'file_name': '00019.mp4', 'label': [0]}
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