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@@ -19,13 +19,11 @@
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- `static23656-14-22-GrayImageNet-94c6ff995dac583098847cfecd43e7b6`
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- `static23964-4-22-GrayImageNet-94c6ff995dac583098847cfecd43e7b6`
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# Dataset Structure
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Below we provide a brief explanation of the dataset structure and how to access all the information contained in them.
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-Have a look at our white paper for in depth description of the data. [https://link_to_arxiv_submission](https://gin.g-node.org/cajal/Sensorium2022)
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+Have a look at our white paper for in depth description of the data. [White paper on arXiv](https://arxiv.org/abs/2206.08666)
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We provide the datasets in the .zip format. Unzipping them will create two folders **data** and **meta**.
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@@ -45,7 +43,6 @@ We provide the datasets in the .zip format. Unzipping them will create two folde
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However, for the evaluation of submissions in the competition, we require the responses to be **standardized** (i.e. `r = r/(std_r)`).
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- For more information, please refer to the [**Submission Section**](../submission_tutorial/)
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- **trials:** This directory contains trial-specific meta data.
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They contain single 1-d NumPy arrays for each trial variable.
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@@ -83,7 +80,6 @@ The datasets `26872-17-20` (Sensorium) `27204-5-13` (Sensorium+) are different f
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- The responses to all *test* or *final_test* images is withheld (the response arrays are present, but zeroed out)
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- Information about order of trials is withheld (i.e. the *trial_idx* is hashed)
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- For **Sensorium**, the behavioral variables and eye position are withheld (arrays are present, but zeroed out)
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# License
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This data is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License</a>. This license requires that you contact us before you use the data in your own research. In particular, this means that you have to ask for permission if you intend to publish a new analysis performed with this data (no derivative works-clause).
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