From 465b14525a1faa5001776c6aea3abdd8a2de5b35 Mon Sep 17 00:00:00 2001 From: Karan Thakkar Date: Tue, 3 Jan 2023 16:41:28 -0500 Subject: [PATCH] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 5c67e0c..17c36fe 100644 --- a/README.md +++ b/README.md @@ -36,9 +36,9 @@ The folder contains multiple folders (and `zip` files containing the same data a If you want to get started quickly, you can opt to only download this folder/zipfile. 2. `preprocessed_eeg(.zip)` and `preprocessed_stimuli(.zip)` contain preprocessed EEG and stimuli files (envelope and mel features) respectively. -At this stage data is not yet split into different sets and normalized. To go from this to the data in `split_data`, you will have to run the `speech_features.py` script ([task1_match_mismatch/create_data/speech_features.py](./task1_match_mismatch/create_data/speech_features.py) for task 1 and [task2_regression/create_data/speech_features.py](./task2_regression/create_data/speech_features.py) for task 2). +At this stage data is not yet split into different sets and normalized. To go from this to the data in `split_data`, you will have to run the `speech_features.py` script ([task1_match_mismatch/create_data/split_and_normalize.py](./task1_match_mismatch/create_data/split_and_normalize.py) for task 1 and [task2_regression/create_data/split_and_normalize.py](./task2_regression/create_data/split_and_normalize.py) for task 2). - 3. `raw_eeg(.zip)` and `stimuli(.zip)` contain the raw EEG and stimuli files. If you want to process the stimuli files, you can run `split_and_normalize.py` (([task1_match_mismatch/create_data/split_and_normalize.py](./task1_match_mismatch/create_data/split_and_normalize.py) for task 1 and [task2_regression/create_data/split_and_normalize.py](./task2_regression/create_data/split_and_normalize.py) for task 2). The processed stimuli files will be stored in the `processed_stimuli` folder. + 3. `raw_eeg(.zip)` and `stimuli(.zip)` contain the raw EEG and stimuli files. If you want to process the stimuli files, you can run `split_and_normalize.py` (([task1_match_mismatch/create_data/speech_features.py](./task1_match_mismatch/create_data/speech_features.py) for task 1 and [task2_regression/create_data/speech_features.py](./task2_regression/create_data/speech_features.py) for task 2). The processed stimuli files will be stored in the `processed_stimuli` folder. Currently, no preprocessing code is made available to preprocess EEG, so you will have to write your own implementation or use the precomputed `processed_eeg` folder. Make sure to download/unzip these folders into the same folder (e.g. `challenge_folder_task1`) for each task. @@ -85,4 +85,4 @@ Other models you might find interesting are: [Thornton et al. (2022)](https://io # Previous version If you are still using a previous version of this example code, we recommend updating to this version, as the test-set code and data will be made compatible for this version. -If you still like access to the previous version, you can find it [here](https://github.com/exporl/auditory-eeg-challenge-2023-code/tree/258b2d48bab4f2ac1da01b8c2aa30f6396063ff5) \ No newline at end of file +If you still like access to the previous version, you can find it [here](https://github.com/exporl/auditory-eeg-challenge-2023-code/tree/258b2d48bab4f2ac1da01b8c2aa30f6396063ff5)