Datasets:
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README.md
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data_files:
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- split: test
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path: test/metadata.jsonl
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---
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# SYNCR
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Evaluation and training draw on **disjoint video pools** (e.g. CLEVRER's validation split for evaluation,
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its training split for training).
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### Expected layout
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Video paths in the annotations are relative to the repository root and resolve to a `videos/` directory:
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data_files:
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- split: test
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path: test/metadata.jsonl
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- config_name: training
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data_files:
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- split: train
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path: train/sft_all8_answer_only.json
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---
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# SYNCR
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Evaluation and training draw on **disjoint video pools** (e.g. CLEVRER's validation split for evaluation,
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its training split for training).
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### Loading
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The benchmark and the training set have different schemas, so they are published as
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two configs:
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```python
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from datasets import load_dataset
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test = load_dataset("CrossVideoReasoning/SYNCR", split="test") # 4,000 questions
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train = load_dataset("CrossVideoReasoning/SYNCR", "training", split="train") # 15,960 examples
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```
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### Expected layout
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Video paths in the annotations are relative to the repository root and resolve to a `videos/` directory:
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