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Use main branches for code, data and checkpoint downloads

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  1. README.md +6 -7
README.md CHANGED
@@ -64,13 +64,13 @@ The main benchmark contains **54,744 computed spectra** and **12 site-specific d
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  <a id="release"></a>
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- ## 📦 Release
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- | Dataset release | Compatible SPT code | Contents |
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  | --- | --- | --- |
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- | 2026-10-25 | 0.1.1 | Benchmark tables, application inputs and sources, Li–Co–O coordinates and site mapping, transfer data, fixed partitions and reference predictions |
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- Model checkpoints and configurations are distributed separately in the [SPT model repository](https://huggingface.co/zsysuyang/XAS_SPT), with the matching release `2026-10-25`. This dataset can be downloaded and inspected independently of the weights.
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  <a id="repository-contents"></a>
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@@ -190,7 +190,7 @@ Install the Hugging Face client. The collection is public and can be downloaded
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  ```bash
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  python -m pip install -U huggingface_hub
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  hf download zsysuyang/XAS_SPT --repo-type dataset \
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- --revision 2026-10-25 --local-dir spt-data
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  ```
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  ### Load a computed table
@@ -219,7 +219,7 @@ from datasets import load_dataset
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  spectra = load_dataset(
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  "zsysuyang/XAS_SPT",
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  "computed_non_oxygen",
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- revision="2026-10-25",
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  split="full",
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  )
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  ```
@@ -265,7 +265,6 @@ Please cite this dataset collection and the accompanying manuscript. Dataset met
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  title = {SPT XANES Dataset},
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  year = {2026},
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  howpublished = {Hugging Face},
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- note = {Release 2026-10-25},
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  url = {https://huggingface.co/datasets/zsysuyang/XAS_SPT}
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  }
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  ```
 
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  <a id="release"></a>
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+ ## 📦 Data access
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+ | Dataset branch | Companion code | Contents |
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  | --- | --- | --- |
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+ | `main` | [SPT `main`](https://github.com/zsy-suyang/SPT) | Benchmark tables, application inputs and sources, Li–Co–O coordinates and site mapping, transfer data, fixed partitions and reference predictions |
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+ Model checkpoints and configurations are distributed separately on the `main` branch of the [SPT model repository](https://huggingface.co/zsysuyang/XAS_SPT). This dataset can be downloaded and inspected independently of the weights.
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  <a id="repository-contents"></a>
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  ```bash
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  python -m pip install -U huggingface_hub
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  hf download zsysuyang/XAS_SPT --repo-type dataset \
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+ --revision main --local-dir spt-data
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  ```
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  ### Load a computed table
 
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  spectra = load_dataset(
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  "zsysuyang/XAS_SPT",
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  "computed_non_oxygen",
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+ revision="main",
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  split="full",
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  )
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  ```
 
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  title = {SPT XANES Dataset},
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  year = {2026},
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  howpublished = {Hugging Face},
 
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  url = {https://huggingface.co/datasets/zsysuyang/XAS_SPT}
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  }
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  ```