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 # Video files - compressed
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+test_random_fields.jsonl filter=lfs diff=lfs merge=lfs -text
+test_seen.jsonl filter=lfs diff=lfs merge=lfs -text
+test_unseen.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: apache-2.0
+task_categories:
+  - text2text-generation
+language:
+  - en
+tags:
+  - json-repair
+  - schema-validation
+  - structured-output
+  - tool-calling
+  - agent-workflows
+  - constraint-dsl
+size_categories:
+  - 100K<n<1M
+---
+
+# StructFix-Bench
+
+A benchmark for **schema-aware structured output recovery** — repairing broken outputs from agents, tool calls, and LLM workflows.
+
+## What it tests
+
+Unlike JSON syntax repair benchmarks, StructFix-Bench focuses on **semantic and schema-level recovery**:
+
+- Replacing invalid enum values with valid ones
+- Adding missing required fields
+- Correcting type mismatches
+- Recovering tool call arguments from Python syntax
+- Reconstructing outputs from truncated agent chains
+- Extracting JSON from markdown/text wrappers
+
+## Dataset splits
+
+| Split | Examples | Field names | Enums |
+|-------|---------|-------------|-------|
+| `train` | 200,000 | Mixed (semantic + shuffled) | Mixed (realistic + synthetic) |
+| `validation` | 20,000 | Semantic | Realistic |
+| `test_seen` | 10,000 | Semantic | Realistic |
+| `test_unseen` | 10,000 | Semantic | Realistic |
+| `test_random_fields` | 10,000 | **Random hex** (`f_8f31a7`) | Synthetic |
+
+## Corruption types (28 total)
+
+### Syntactic (10)
+`single_quotes`, `unquoted_keys`, `trailing_comma`, `markdown_fences`, `extra_text_before`, `extra_text_after`, `truncated_object`, `truncated_array`, `missing_bracket`, `missing_brace`
+
+### Semantic (9)
+`wrong_type`, `invalid_enum`, `missing_required`, `null_required`, `extra_field`, `boolean_as_string`, `number_with_unit`, `synonym_enum`, `date_format_error`
+
+### LLM-like (3)
+`markdown_explanation`, `partial_structure`, `thought_process`
+
+### Tool/Agent (6)
+`tool_call_bad_format`, `tool_call_text_mix`, `tool_call_python_syntax`, `tool_call_partial_args`, `tool_call_wrong_param`, `agent_chain`
+
+## Input format
+
+Each example uses **ConstraintDSL** to represent the schema:
+
+```
+TASK repair_structured_output
+
+SPEC
+FIELD priority TYPE string VALUES low|medium|high REQUIRED yes
+FIELD description TYPE string REQUIRED yes
+
+BROKEN_OUTPUT
+{"priority":"urgent"}
+```
+
+Target: `{"priority":"high","description":""}`
+
+## Key results
+
+| Method | Schema Success (unseen) | Schema Success (random fields) |
+|--------|:----------------------:|:----------------------------:|
+| json-repair | 65.2% | 64.0% |
+| CodeT5+ + JSON Schema | 55.0% | — |
+| **CodeT5+ + ConstraintDSL** | **96.3%** | **91.9%** |
+
+## Schema ablation study
+
+Full ablation results are included in `results/all_results.json`:
+
+| DSL variant | Schema Success |
+|------------|:--------------:|
+| Full ConstraintDSL | 96.3% |
+| No DSL at all | 78.4% |
+| Dummy DSL | 75.0% |
+| Conflicting DSL | 88.3% |
+| Shuffled field names | 73.4% |
+| Shuffled enum values | 89.8% |
+| Shuffled required flags | 93.2% |
+| Minimal DSL | 82.5% |
+| Field names only | 72.2% |
+
+## Known limitations
+
+The benchmark uses synthetically generated schemas and corruptions. A showcase validation with 25 hand-crafted real-world examples revealed that model performance degrades when field names overlap with training vocabulary — the model may substitute field names (e.g., `action` → `active`, `contract_id` → `consign_id`). See the model card for details.
+
+## Files
+
+- `train.jsonl` / `validation.jsonl` / `test_seen.jsonl` / `test_unseen.jsonl` / `test_random_fields.jsonl`
+- `results/all_results.json` — all experiment results including ablations
+
+## Each example contains
+
+```json
+{
+  "input": "TASK repair_structured_output\n\nSPEC\n...",
+  "target": "{\"priority\":\"high\",\"description\":\"\"}",
+  "corruption_type": "invalid_enum",
+  "schema": {"type": "object", "properties": {...}, "required": [...]},
+  "invalid_json": "{\"priority\":\"urgent\"}",
+  "error": "Field 'priority' has invalid enum value 'urgent'",
+  "target_json": "{\"priority\":\"high\",\"description\":\"\"}"
+}
+```
+
+## Citation
+
+```bibtex
+@software{structfix_bench,
+  title = {StructFix-Bench: A Benchmark for Schema-Aware Structured Output Recovery},
+  author = {Ottema},
+  year = {2026},
+  url = {https://huggingface.co/datasets/ottema/structfix-bench}
+}
+```
+
+## License
+
+Apache-2.0

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