|
|
--- |
|
|
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 |
|
|
|
|
|
```python |
|
|
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: |
|
|
|
|
|
```bibtex |
|
|
@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} |
|
|
} |
|
|
``` |
|
|
|
|
|
### Related Resources |
|
|
|
|
|
- **Model**: [thearnabsarkar/json-semval-minilm-v1](https://huggingface.co/thearnabsarkar/json-semval-minilm-v1) (coming soon) |
|
|
- **Space**: [thearnabsarkar/json-semantic-validator](https://huggingface.co/spaces/thearnabsarkar/json-semantic-validator) (coming soon) |
|
|
- **Code**: [GitHub Repository](https://github.com/thearnabsarkar/json-semantic-validator) (if applicable) |
|
|
|
|
|
|
