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Datasets:
thearnabsarkar
/
json-semval-synth-v1

Tasks:
Text Classification
Token Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
json
validation
semantic-errors
synthetic-data
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metadata
language:
  - en
task_categories:
  - text-classification
  - token-classification
tags:
  - json
  - validation
  - semantic-errors
  - synthetic-data
size_categories:
  - n<1K

JSON SemVal Synthetic v1

Synthetic JSON+Schema corruptions for semantic validation training.

Dataset Description

This dataset contains synthetically generated JSON payloads with controlled semantic errors for training ML models to detect and fix JSON validation issues.

Dataset Structure

Each example in the dataset contains:

  • schema: JSON Schema definition
  • clean_json: Valid JSON payload conforming to the schema
  • corrupt_json: Corrupted JSON with semantic errors
  • error_type: Type of error introduced (e.g., type_mismatch, format_violation, enum_violation)
  • jsonpath: JSONPath to the location of the error
  • fix_action: Suggested fix action (e.g., cast_number, parse_date_iso, map_enum)

Error Types

  • type_mismatch - Wrong data type (e.g., string instead of integer)
  • format_violation - Invalid format (e.g., bad date format)
  • enum_violation - Invalid enum value
  • missing_required - Missing required field
  • extra_property - Unexpected additional property
  • range_violation - Value outside allowed range
  • pattern_violation - String doesn't match regex pattern

Data Splits

  • Train: 30 examples
  • Test: 10 examples

Usage 

from datasets import load_dataset

dataset = load_dataset("thearnabsarkar/json-semval-synth-v1")

# Access train split
train_data = dataset["train"]

# Example usage
for example in train_data:
    print(f"Error type: {example['error_type']}")
    print(f"JSONPath: {example['jsonpath']}")
    print(f"Fix action: {example['fix_action']}")

Dataset Creation

This dataset was generated using the JSON Semantic Validator's synthetic data generation pipeline, which:

  1. Generates diverse JSON schemas
  2. Creates valid JSON payloads
  3. Introduces controlled corruptions
  4. Labels each corruption with error type and location

License

MIT

Citation

If you use this dataset, please cite:

@misc{json-semval-synth-v1,
  author = {Arnab Sarkar},
  title = {JSON SemVal Synthetic v1},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/thearnabsarkar/json-semval-synth-v1}
}

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