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README.md
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---
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language:
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- en
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pretty_name: "
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tags:
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-
-
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- compositionality
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- generalization
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- visual reasoning
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# Before ARC Dataset
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This dataset contains .parquet files organized in nested subfolders under `
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## Dataset Structure
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- `
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- `generalization/`: Data for generalization experiments
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- `experiment_settings[1-5]/`: Five settings (e.g., different conditions or parameters)
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- `experiment[1-
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- `train.parquet`: Training data
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- `train_val.parquet`: Training validation data
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- `test_val.parquet`: Test validation data
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```python
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from datasets import load_dataset
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gen_exps3_exp2_test = load_dataset("
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print(dataset["data"][0].keys()) # Prints the keys of the first sample from the chosen dataset. Should output: dict_keys(['input', 'output', 'transformation_suite', 'task_key'])
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---
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language:
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- en
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pretty_name: "COGITAO"
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tags:
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- COGITAO
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- compositionality
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- generalization
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- visual reasoning
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# Before ARC Dataset
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This dataset contains .parquet files organized in nested subfolders under `COGITAO`, split into two main categories: `generalization` and `compositionality`. Each category contains data for different experiment settings and experiments, with JSON files for training, validation, and testing splits. The nested structure is intentional for clarity.
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## Dataset Structure
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- `COGITAO/`: Root folder
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- `generalization/`: Data for generalization experiments
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- `experiment_settings[1-5]/`: Five settings (e.g., different conditions or parameters)
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- `experiment[1-5]/`: Four experiments per setting
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- `train.parquet`: Training data
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- `train_val.parquet`: Training validation data
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- `test_val.parquet`: Test validation data
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```python
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from datasets import load_dataset
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gen_exps3_exp2_test = load_dataset("yassinetb/COGITAO", data_files={"data": "generalization/exp_setting_3/experiment_2/test.parquet"})
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print(dataset["data"][0].keys()) # Prints the keys of the first sample from the chosen dataset. Should output: dict_keys(['input', 'output', 'transformation_suite', 'task_key'])
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