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@@ -23,12 +23,12 @@ configs:
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  - split: test
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  path: "complex_traits_all/test.parquet"
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  ---
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- # TraitGym
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  Benchmarking DNA Sequence Models for Causal Regulatory Variant Prediction in Human Genetics
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  🏆 Leaderboard: https://huggingface.co/spaces/songlab/TraitGym-leaderboard
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- ## Quick start
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  - Load a dataset
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  ```python
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  from datasets import load_dataset
@@ -37,7 +37,7 @@ Benchmarking DNA Sequence Models for Causal Regulatory Variant Prediction in Hum
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  ```
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  - Example notebook to run variant effect prediction with a gLM, runs in 5 min on Google Colab: `TraitGym.ipynb` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/songlab-cal/TraitGym/blob/main/TraitGym.ipynb)
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- ## Resources (https://huggingface.co/datasets/songlab/TraitGym)
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  - Datasets: `{dataset}/test.parquet`
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  - Subsets: `{dataset}/subset/{subset}.parquet`
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  - Features: `{dataset}/features/{features}.parquet`
@@ -70,6 +70,6 @@ Benchmarking DNA Sequence Models for Causal Regulatory Variant Prediction in Hum
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  - `AUPRC_by_chrom_weighted_average` (main metric)
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  - `AUPRC`
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- ## Code (https://github.com/songlab-cal/TraitGym)
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  - Tries to follow [recommended Snakemake structure](https://snakemake.readthedocs.io/en/stable/snakefiles/deployment.html)
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  - GPN-Promoter code is in [the main GPN repo](https://github.com/songlab-cal/gpn)
 
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  - split: test
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  path: "complex_traits_all/test.parquet"
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  ---
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+ # 🧬 TraitGym
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  Benchmarking DNA Sequence Models for Causal Regulatory Variant Prediction in Human Genetics
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  🏆 Leaderboard: https://huggingface.co/spaces/songlab/TraitGym-leaderboard
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+ ## ⚡️ Quick start
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  - Load a dataset
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  ```python
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  from datasets import load_dataset
 
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  ```
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  - Example notebook to run variant effect prediction with a gLM, runs in 5 min on Google Colab: `TraitGym.ipynb` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/songlab-cal/TraitGym/blob/main/TraitGym.ipynb)
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+ ## 🤗 Resources (https://huggingface.co/datasets/songlab/TraitGym)
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  - Datasets: `{dataset}/test.parquet`
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  - Subsets: `{dataset}/subset/{subset}.parquet`
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  - Features: `{dataset}/features/{features}.parquet`
 
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  - `AUPRC_by_chrom_weighted_average` (main metric)
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  - `AUPRC`
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+ ## 💻 Code (https://github.com/songlab-cal/TraitGym)
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  - Tries to follow [recommended Snakemake structure](https://snakemake.readthedocs.io/en/stable/snakefiles/deployment.html)
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  - GPN-Promoter code is in [the main GPN repo](https://github.com/songlab-cal/gpn)