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by nielsr HF Staff - opened
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  1. README.md +20 -2
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  # TReconLM synthetic test sets
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- This dataset contains the synthetic test sets used to evaluate TReconLM, a transformer-based model for trace reconstruction of noisy DNA sequences (see [our paper](https://arxiv.org/pdf/2507.12927)).
 
 
 
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  The real-world datasets used for fine-tuning are available here:
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  ## Usage
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- Instructions for running inference using these datasets and our pretrained models are provided in the [`trace_reconstruction.ipynb`](https://github.com/MLI-lab/TReconLM/blob/main/trace_reconstruction.ipynb) notebook in our GitHub repository.
 
 
 
 
 
 
 
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+ ---
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - biology
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+ - dna
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+ - trace-reconstruction
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+ ---
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+
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  # TReconLM synthetic test sets
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+ This dataset contains the synthetic test sets used to evaluate TReconLM, a transformer-based model for trace reconstruction of noisy DNA sequences.
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+ - **Paper:** [Trace Reconstruction with Language Models](https://arxiv.org/pdf/2507.12927)
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+ - **Code:** [MLI-lab/TReconLM](https://github.com/MLI-lab/TReconLM)
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  The real-world datasets used for fine-tuning are available here:
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  ## Usage
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+ Instructions for running inference using these datasets and our pretrained models are provided in the [`trace_reconstruction.ipynb`](https://github.com/MLI-lab/TReconLM/blob/main/trace_reconstruction.ipynb) notebook in our GitHub repository.
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+
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+ To run inference via the command line:
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+
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+ ```bash
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+ python src/inference.py exps=<experiment>
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+ ```