Datasets:
Cleaned up view testing
Browse files- .gitattributes +0 -4
- .gitignore +4 -0
- check.py +0 -27
.gitattributes
CHANGED
@@ -59,7 +59,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# JSON datasets
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*.json filter=lfs diff=lfs merge=lfs -text
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DIA[[:space:]]Benchmark-k1.json filter=lfs diff=lfs merge=lfs -text
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DIA[[:space:]]Benchmark-k10.json filter=lfs diff=lfs merge=lfs -text
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DIA[[:space:]]Benchmark-k100.json filter=lfs diff=lfs merge=lfs -text
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DIA[[:space:]]Benchmark-k5.json filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# JSON datasets
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*.json filter=lfs diff=lfs merge=lfs -text
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.gitignore
ADDED
@@ -0,0 +1,4 @@
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.DS_Store
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.venv/
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__pycache__/
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check.py
DELETED
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import json
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from datasets import load_dataset
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with open('DIA-Benchmark-k100.json') as f:
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dataset = json.load(f)
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for i, q in enumerate(dataset['questions']):
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# Challenge
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assert 'challenge' in q, f"Missing 'challenge' field in question {i}: \n{q}"
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challenge = q['challenge']
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assert isinstance(challenge['template_id'], int), f"Invalid 'template_id' field in question {i}:\n{q}"
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assert isinstance(challenge['instance'], int), f"Invalid 'instance' field in question {i}:\n{q}"
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assert isinstance(challenge['level'], str), f"Invalid 'level' field in question {i}:\n{q}"
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assert isinstance(challenge['category'], str), f"Invalid 'instance' field in question {i}:\n{q}"
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assert isinstance(challenge['adversarial'], bool), f"Invalid 'adversarial' field in question {i}:\n{q}"
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assert isinstance(challenge['description'], str), f"Invalid 'description' field in question {i}:\n{q}"
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assert isinstance(challenge['instructions'], str), f"Invalid 'instructions' field in question {i}:\n{q}"
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# Solution
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assert 'solution' in q, f"Missing 'solution' field in question {i}: \n{q}"
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solution = q['solution']
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assert isinstance(solution['challenge_solution'], str), f"Invalid 'challenge_solution' field in question {i}:\n{q}"
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assert isinstance(solution['solution_explanation'], str), f"Invalid 'solution_explanation' field in question {i}:\n{q}"
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dataset = load_dataset("json", data_files="DIA-Benchmark-k100.json", field="questions")
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