yassinetb commited on
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a94094a
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modify README

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  1. README.md +6 -6
README.md CHANGED
@@ -1,9 +1,9 @@
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  ---
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  language:
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  - en
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- pretty_name: "before-arc"
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  tags:
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- - before-arc
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  - compositionality
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  - generalization
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  - visual reasoning
@@ -22,13 +22,13 @@ author: "Yassine Taoudi Benchekroun"
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  # Before ARC Dataset
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- This dataset contains .parquet files organized in nested subfolders under `before-arc`, 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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- - `before_arc/`: 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[1-4]/`: 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
@@ -52,5 +52,5 @@ Load the dataset using the `datasets` library:
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  ```python
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  from datasets import load_dataset
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- gen_exps3_exp2_test = load_dataset("taratataw/before-arc", 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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  ---
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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'])