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  - **Paper:** https://arxiv.org/pdf/2305.03393
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  ### Dataset Summary
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-
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- This dataset is a conversion of the original [PubTables-1M](https://github.com/microsoft/table-transformer) into the OTSL format presented in our paper "Optimized Table Tokenization for Table Structure Recognition". The dataset includes the original annotations amongst new additions.
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  ### Dataset Structure
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  ### Citation Information
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- **Citation to OTSL Paper:**
 
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  @article{lysak2023optimized,
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  title={Optimized Table Tokenization for Table Structure Recognition},
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  primaryClass={cs.CV}
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  }
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- **Citation to PubTables-1M creators:**
 
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  @inproceedings{smock2022pubtables,
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  title={Pub{T}ables-1{M}: Towards comprehensive table extraction from unstructured documents},
 
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  - **Paper:** https://arxiv.org/pdf/2305.03393
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  ### Dataset Summary
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+ This dataset enables the evaluation of both object detection models and image-to-text methods.
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+ [PubTables-1M](https://github.com/microsoft/table-transformer) is introduced in the publication *"PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents"* by Smock et al. The conversion into HF (Hugging Face) and the addition of the OTSL (Optimized Table Structure Language) format is presented in our paper "Optimized Table Tokenization for Table Structure Recognition" by Lysak et al. The dataset includes the original annotations amongst new additions.
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  ### Dataset Structure
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  ### Citation Information
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+ **Citation to OTSL Paper:
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+ **
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  @article{lysak2023optimized,
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  title={Optimized Table Tokenization for Table Structure Recognition},
 
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  primaryClass={cs.CV}
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  }
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+ **Citation to PubTables-1M creators:
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+ **
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  @inproceedings{smock2022pubtables,
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  title={Pub{T}ables-1{M}: Towards comprehensive table extraction from unstructured documents},