Datasets:
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---
dataset_info:
features:
- name: filename
dtype: string
- name: json_schema
dtype: string
splits:
- name: WashingtonPost
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num_examples: 125
- name: Snowplow
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num_examples: 420
- name: Kubernetes
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num_examples: 1087
- name: Github
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num_examples: 6335
- name: Handwritten
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num_examples: 197
- name: Synthesized
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num_examples: 450
- name: full
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- name: Github_trivial
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num_examples: 570
- name: Github_easy
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num_examples: 2035
- name: Github_medium
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num_examples: 2121
- name: Github_hard
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num_examples: 1405
- name: Github_ultra
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num_examples: 204
download_size: 44754499
dataset_size: 223549310
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-*
---
# 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.
## 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.
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