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README.md

@@ -1,96 +1,70 @@
 ---
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
-  - split: valid
-    path: data/valid-*
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
+license:
+- apache-2.0
+task_categories:
+- text-generation
+pretty_name: task1645_medical_question_pair_dataset_text_classification
 dataset_info:
+  config_name: plain_text
   features:
   - name: input
     dtype: string
   - name: output
-    sequence: string
+    dtype: string
   - name: id
     dtype: string
   splits:
   - name: train
-    num_bytes: 3536664.0569877885
     num_examples: 2358
-  - name: test
-    num_bytes: 442457.97150610585
-    num_examples: 295
   - name: valid
-    num_bytes: 442457.97150610585
     num_examples: 295
-  download_size: 819587
-  dataset_size: 4421580.0
----
+  - name: test
+    num_examples: 295
 ---
-                    license:
-                    - apache-2.0
-                    task_categories:
-                    - natural-language
-                    pretty_name: task1645_medical_question_pair_dataset_text_classification
-                    dataset_info:
-                    config_name: plain_text
-                    features:
-                    - name: input
-                        dtype: string
-                    - name: output
-                        dtype: string
-                    - name: id
-                        dtype: string
-                    splits:
-                    - name: train
-                        num_examples: 2358
-                    - name: valid
-                        num_examples: 295
-                    - name: test
-                        num_examples: 295
-                    ---
-                    # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1645_medical_question_pair_dataset_text_classification
 
-                    ## Dataset Description
+# Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1645_medical_question_pair_dataset_text_classification
+
+## 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)
+- **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
+## Additional Information
 
-                    ### Citation 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}, 
-                    }
-                    ```
+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}, 
-                    }
-                    ```
+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
+### Contact Information
 
-                    For any comments or questions, please email [Rickard Brüel Gabrielsson](mailto:brg@mit.edu)
+For any comments or questions, please email [Rickard Brüel Gabrielsson](mailto:brg@mit.edu)