Add metadata and links to paper and code
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by nielsr HF Staff - opened
README.md
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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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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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# 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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To run inference via the command line:
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```bash
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python src/inference.py exps=<experiment>
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```
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