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metadata
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
      - split: valid
        path: data/valid-*
dataset_info:
  features:
    - name: input
      dtype: string
    - name: output
      sequence: string
    - name: id
      dtype: string
  splits:
    - name: train
      num_bytes: 415848.9794238683
      num_examples: 194
    - name: test
      num_bytes: 53588.786008230454
      num_examples: 25
    - name: valid
      num_bytes: 51445.234567901236
      num_examples: 24
  download_size: 125940
  dataset_size: 520883

                license:
                - apache-2.0
                task_categories:
                - natural-language
                pretty_name: task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation
                dataset_info:
                config_name: plain_text
                features:
                - name: input
                    dtype: string
                - name: output
                    dtype: string
                - name: id
                    dtype: string
                splits:
                - name: train
                    num_examples: 194
                - name: valid
                    num_examples: 24
                - name: test
                    num_examples: 25
                ---
                # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation

                ## Dataset Description

                - **Homepage:** https://github.com/allenai/natural-instructions
                - **Paper:** https://arxiv.org/abs/2204.07705
                - **Paper:** https://arxiv.org/abs/2407.00066
                - **Point of Contact:** [Rickard Brüel Gabrielsson](mailto:brg@mit.edu)

                ## Additional Information

                ### Citation Information

                The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it: 
                ```bibtex
                @misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
                    title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}, 
                    author={Yizhong Wang and Swaroop Mishra and Pegah Alipoormolabashi and Yeganeh Kordi and Amirreza Mirzaei and Anjana Arunkumar and Arjun Ashok and Arut Selvan Dhanasekaran and Atharva Naik and David Stap and Eshaan Pathak and Giannis Karamanolakis and Haizhi Gary Lai and Ishan Purohit and Ishani Mondal and Jacob Anderson and Kirby Kuznia and Krima Doshi and Maitreya Patel and Kuntal Kumar Pal and Mehrad Moradshahi and Mihir Parmar and Mirali Purohit and Neeraj Varshney and Phani Rohitha Kaza and Pulkit Verma and Ravsehaj Singh Puri and Rushang Karia and Shailaja Keyur Sampat and Savan Doshi and Siddhartha Mishra and Sujan Reddy and Sumanta Patro and Tanay Dixit and Xudong Shen and Chitta Baral and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi and Daniel Khashabi},
                    year={2022},
                    eprint={2204.07705},
                    archivePrefix={arXiv},
                    primaryClass={cs.CL},
                    url={https://arxiv.org/abs/2204.07705}, 
                }
                ```

                More details can also be found in the following paper:
                ```bibtex
                @misc{brüelgabrielsson2024compressserveservingthousands,
                    title={Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead}, 
                    author={Rickard Brüel-Gabrielsson and Jiacheng Zhu and Onkar Bhardwaj and Leshem Choshen and Kristjan Greenewald and Mikhail Yurochkin and Justin Solomon},
                    year={2024},
                    eprint={2407.00066},
                    archivePrefix={arXiv},
                    primaryClass={cs.DC},
                    url={https://arxiv.org/abs/2407.00066}, 
                }
                ```

                ### Contact Information

                For any comments or questions, please email [Rickard Brüel Gabrielsson](mailto:brg@mit.edu)