Recommend to do local use
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README.md
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There are two datasets: `tiny` and `full`, each with `train` and `test` splits. The `tiny` dataset has 2 2D images in the `train` and 1 in the `test`. The `full` dataset contains all the images in the `data/` directory.
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## Use
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To directly use from this data from Huggingface, you'll want to log in on the command line before starting python:
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```bash
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huggingface-cli login
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```
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or
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```
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import huggingface_hub
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huggingface_hub.login(token=token)
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```
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Then in your python script:
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```python
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from datasets import load_dataset
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dataset = load_dataset("AstroCompress/SBI-16-2D", "tiny")
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ds = dataset.with_format("np")
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```
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## Local Use
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Alternatively, you can clone this repo and use directly without connecting to hf:
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git clone https://huggingface.co/datasets/AstroCompress/SBI-16-2D
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```
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Then `cd SBI-16-3D` and start python like:
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```python
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Note of course that it will take a long time to download and convert the images in the local cache for the `full` dataset. Afterward, the usage should be quick as the files are memory-mapped from disk.
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There are two datasets: `tiny` and `full`, each with `train` and `test` splits. The `tiny` dataset has 2 2D images in the `train` and 1 in the `test`. The `full` dataset contains all the images in the `data/` directory.
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## Local Use (RECOMMENDED)
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Alternatively, you can clone this repo and use directly without connecting to hf:
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git clone https://huggingface.co/datasets/AstroCompress/SBI-16-2D
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```
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`git lfs pull`
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Then `cd SBI-16-3D` and start python like:
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```python
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Note of course that it will take a long time to download and convert the images in the local cache for the `full` dataset. Afterward, the usage should be quick as the files are memory-mapped from disk.
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## Use from Huggingface Directly
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To directly use from this data from Huggingface, you'll want to log in on the command line before starting python:
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```bash
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huggingface-cli login
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```
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or
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```
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import huggingface_hub
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huggingface_hub.login(token=token)
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```
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Then in your python script:
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```python
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from datasets import load_dataset
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dataset = load_dataset("AstroCompress/SBI-16-2D", "tiny")
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ds = dataset.with_format("np")
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```
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