--- dataset_info: features: - name: filename dtype: string - name: json_schema dtype: string splits: - name: WashingtonPost num_bytes: 2703506 num_examples: 125 - name: Snowplow num_bytes: 1619923 num_examples: 414 - name: Kubernetes num_bytes: 25517031 num_examples: 1087 - name: Github num_bytes: 47988141 num_examples: 5955 - name: Handwritten num_bytes: 301821 num_examples: 147 - name: Synthesized num_bytes: 183607 num_examples: 415 - name: full num_bytes: 78314029 num_examples: 8143 - name: Github_trivial num_bytes: 2919498 num_examples: 533 - name: Github_easy num_bytes: 2109285 num_examples: 1976 - name: Github_medium num_bytes: 8378559 num_examples: 2009 - name: Github_hard num_bytes: 21345133 num_examples: 1266 - name: Github_ultra num_bytes: 13235666 num_examples: 171 - name: JsonSchemaStore num_bytes: 24441824.558375634 num_examples: 561 - name: fhir num_bytes: 2488225 num_examples: 156 download_size: 45991752 dataset_size: 231546248.55837563 configs: - config_name: default data_files: - split: WashingtonPost path: data/WashingtonPost-* - split: Snowplow path: data/Snowplow-* - split: Kubernetes path: data/Kubernetes-* - split: Github path: data/Github-* - split: Handwritten path: data/Handwritten-* - split: Synthesized path: data/Synthesized-* - split: full path: data/full-* - split: Github_trivial path: data/Github_trivial-* - split: Github_easy path: data/Github_easy-* - split: Github_medium path: data/Github_medium-* - split: Github_hard path: data/Github_hard-* - split: Github_ultra path: data/Github_ultra-* - split: JsonSchemaStore path: data/JsonSchemaStore-* - split: fhir path: data/fhir-* --- # JSON Schema Witness Generation Dataset ## Overview This dataset is a collection of JSON schema witnesses generated from various sources, aimed at facilitating the study and evaluation of JSON schema transformations, validations, and other related operations. The dataset consists of several subsets, each derived from a different domain or source, and is structured to allow for comprehensive testing and benchmarking of tools and algorithms dealing with JSON schemas. ## Dataset Structure The dataset is organized into the following subsets: ### 1. Washington Post (wp) - **Samples**: 125 - **Description**: This subset contains JSON schema witnesses from the Washington Post dataset. The schemas have been processed and formatted for easy integration and analysis. - **Original Directory**: [Washington Post](https://github.com/sdbs-uni-p/JSONSchemaWitnessGeneration/tree/main/artifacts/JSONAlgebra/JsonSchema_To_Algebra/expDataset/wp) ### 2. Snowplow (dg) - **Samples**: 420 - **Description**: The Snowplow subset includes 420 JSON schema witnesses, each representing a structured data format used within the Snowplow event data pipeline. - **Original Directory**: [Snowplow](https://github.com/sdbs-uni-p/JSONSchemaWitnessGeneration/tree/main/artifacts/JSONAlgebra/JsonSchema_To_Algebra/expDataset/snowplow/dg) ### 3. Kubernetes (sat) - **Samples**: 1087 - **Description**: This subset contains JSON schema witnesses from the Kubernetes ecosystem. It is particularly useful for analyzing configuration and deployment schemas. - **Original Directory**: [Kubernetes](https://github.com/sdbs-uni-p/JSONSchemaWitnessGeneration/tree/main/artifacts/JSONAlgebra/JsonSchema_To_Algebra/expDataset/kubernetes/sat) ### 4. Github (sat) - **Samples**: 6335 - **Description**: The largest subset in the dataset, containing 6335 samples from GitHub repositories. These schemas are ideal for studying open-source project configurations and automation. - **Original Directory**: [Github](https://github.com/sdbs-uni-p/JSONSchemaWitnessGeneration/tree/main/artifacts/JSONAlgebra/JsonSchema_To_Algebra/expDataset/github/sat) ### 5. Handwritten (sat) - **Samples**: 197 - **Description**: The Handwritten subset consists of 197 manually crafted JSON schema witnesses, designed to test edge cases and complex schema configurations. - **Original Directory**: [Handwritten](https://github.com/sdbs-uni-p/JSONSchemaWitnessGeneration/tree/main/artifacts/JSONAlgebra/JsonSchema_To_Algebra/expDataset/handwritten/sat) ### 6. Synthesized (sat) - **Samples**: 450 - **Description**: This subset is synthesized from various sources to cover a broad range of JSON schema use cases, particularly focusing on containment and validation. - **Original Directory**: [Synthesized](https://github.com/sdbs-uni-p/JSONSchemaWitnessGeneration/tree/main/artifacts/JSONAlgebra/JsonSchema_To_Algebra/expDataset/containment/sat) ### 7. Github Trivial - **Samples**: 570 - **Description**: Contains GitHub JSON schemas categorized as "trivial" with sizes less than 10. This split is designed to handle extremely simple and minimal schemas. ### 8. Github Easy - **Samples**: 2035 - **Description**: Contains GitHub JSON schemas categorized as "easy," with sizes between 10 and 30. These schemas offer moderate complexity and are useful for testing general tools. ### 9. Github Medium - **Samples**: 2121 - **Description**: Contains GitHub JSON schemas categorized as "medium," with sizes between 30 and 100. These schemas reflect intermediate complexity. ### 10. Github Hard - **Samples**: 1405 - **Description**: Contains GitHub JSON schemas categorized as "hard," with sizes between 100 and 500. These are complex schemas that are challenging to process and validate. ### 11. Github Ultra - **Samples**: 204 - **Description**: Contains GitHub JSON schemas categorized as "ultra," with sizes greater than 500. These schemas represent the most complex and large-scale structures, ideal for stress testing tools. ### 12. JSON Schema Store (JsonSchemaStore) - **Samples**: 650 - **Description**: This new subset includes 650 JSON schemas derived from the JSON Schema Store, comprising both training and validation data. The schemas cover a wide range of use cases and domains, making them a valuable addition to the dataset for evaluating JSON schema-related tasks such as validation, transformation, and optimization. - **Original Source**: [dataunitylab/json-schema-store](https://huggingface.co/datasets/dataunitylab/json-schema-store) ## Dataset Validation and Filtering To ensure the quality and validity of the JSON schemas in each split, a filtering process was applied to remove invalid schemas. The following statistics summarize the filtering results for each subset: - **Washington Post**: - Dropped: 0/125 invalid schemas - Kept: 125/125 valid schemas - **Snowplow**: - Dropped: 6/420 invalid schemas - Kept: 414/420 valid schemas - **Kubernetes**: - Dropped: 0/1087 invalid schemas - Kept: 1087/1087 valid schemas - **Github**: - Dropped: 380/6335 invalid schemas - Kept: 5955/6335 valid schemas - **Handwritten**: - Dropped: 50/197 invalid schemas - Kept: 147/197 valid schemas - **Synthesized**: - Dropped: 35/450 invalid schemas - Kept: 415/450 valid schemas - **Github Trivial**: - Dropped: 37/570 invalid schemas - Kept: 533/570 valid schemas - **Github Easy**: - Dropped: 59/2035 invalid schemas - Kept: 1976/2035 valid schemas - **Github Medium**: - Dropped: 112/2121 invalid schemas - Kept: 2009/2121 valid schemas - **Github Hard**: - Dropped: 139/1405 invalid schemas - Kept: 1266/1405 valid schemas - **Github Ultra**: - Dropped: 33/204 invalid schemas - Kept: 171/204 valid schemas - **JSON Schema Store (JsonSchemaStore)**: - Dropped: 59/650 invalid schemas - Kept: 591/650 valid schemas ## Citation The datasets listed above are featured in the paper "Witness Generation for JSON Schema." We extend our gratitude to the authors for their valuable contributions. For more detailed information about the datasets and the methods used, please refer to the paper: [Witness Generation for JSON Schema](https://arxiv.org/abs/2202.12849). ## License This dataset is provided under the [MIT License](https://opensource.org/licenses/MIT). Please ensure that you comply with the license terms when using or distributing this dataset. ## Acknowledgements We would like to thank the contributors and maintainers of the JSON schema projects and the open-source community for their invaluable work and support.