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@@ -19,6 +19,10 @@ configs:
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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
@@ -42,6 +46,18 @@ from human annotation. The same generators produce both an evaluation benchmark
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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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+
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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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+
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+ ```python
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+ from datasets import load_dataset
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+
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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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+
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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: