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@@ -103,10 +103,11 @@ The annotations in `dataset`:
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  "2" : null,
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  ...
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  ```
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- - the key is the 'key_difference'
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- - `description` is the 'difference string' (passed as input in closed eval, or the model must generate a semantically similar string in open eval).
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- - `num_frames` (not used) is '1' if an LMM could solve it from a single (well-chosen) frame, or 'gt_1' if more frames are needed.
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- - Some values might be `null`. This is because the Huggingface datasets enforces that all elements in a column have the same schema.
 
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  - `differences_gt` has the gt label, e.g. `{"0": "b", "1":"a", "2":null}`. For example, difference "the feet stance is wider" applies more to video B.
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  - `domain` activity domain. One of `{'fitness', 'ballsports', 'diving', 'surgery', 'music'}`.
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  "2" : null,
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  ...
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  ```
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+ - and these keys are:
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+ - the key is the 'key_difference'
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+ - `description` is the 'difference string' (passed as input in closed eval, or the model must generate a semantically similar string in open eval).
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+ - `num_frames` (not used) is '1' if an LMM could solve it from a single (well-chosen) frame, or 'gt_1' if more frames are needed.
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+ - Some values might be `null`. This is because the Huggingface datasets enforces that all elements in a column have the same schema.
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  - `differences_gt` has the gt label, e.g. `{"0": "b", "1":"a", "2":null}`. For example, difference "the feet stance is wider" applies more to video B.
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  - `domain` activity domain. One of `{'fitness', 'ballsports', 'diving', 'surgery', 'music'}`.
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