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README.md

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 ---
-license: apache-2.0
+dataset_info:
+  features:
+    - name: task_id
+      dtype: string
+    - name: system_prompt
+      dtype: string
+    - name: prompt
+      dtype: string
+    - name: raw_log
+      dtype: string
+    - name: log_type
+      dtype: string
+    - name: expected_schema
+      dtype: string
+    - name: reference
+      dtype: string
+    - name: eval_rules
+      sequence: string
+  splits:
+    - name: test
+      num_bytes: 1100000
+      num_examples: 1000
+  download_size: 210000
+  dataset_size: 1100000
+configs:
+  - config_name: default
+    data_files:
+      - split: test
+        path: "test.parquet"
 ---
+
+# ifparse-v1.0: Real-World Structured Compliance Evaluation Benchmark
+
+This dataset is inspired directly by `ifstruct-v1.0` and `ifeval`. It evaluates the structural precision, parsing capabilities, and strict formatting obedience of Large Language Models.
+
+Instead of testing creative capabilities, **ifparse** isolates structural instruction compliance under strict formatting restrictions utilizing raw developer server logs.
+
+## Dataset Structure
+
+Each sample contains:
+- `task_id`: Unique identifier for the benchmark.
+- `system_prompt`: Initial persona instruction to minimize conversational fluff.
+- `prompt`: Input prompt presenting unstructured log context, target JSON schema constraints, and format execution constraints.
+- `raw_log`: Raw unstructured string source (Production Linux Daemon logs & Apache Access logs).
+- `expected_schema`: The target output schema mapping represented in JSON Schema format.
+- `reference`: The expected parsable object output.
+- `eval_rules`: Explicit logical parsing boundaries verified dynamically by deterministic assertions.
+
+## Strict Evaluation Metrics
+
+Compliance is graded using binary rules (0 or 1). Models receive a score of **1.0** only if they fulfill all format requirements:
+1. **Valid JSON Output:** The model's raw string output must parse cleanly under `json.loads()`.
+2. **Zero Markdown Fences:** Outputs must *not* contain code block decorators (e.g., ````json ... ````).
+3. **Zero Conversational Filler:** No pre-text or post-text filler elements (e.g., "Certainly! Here is your JSON object:").
+4. **Required Keys Match:** Generated JSON properties must strictly contain all mandatory parameters defined in the schema.

eval.yaml

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+benchmark: ifparse-v1.0
+type: structured_extraction_and_compliance
+metrics:
+  - valid_json
+  - no_markdown_fences
+  - no_conversational_filler
+  - schema_conformance
+default_model_temperature: 0.0

test.parquet

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+size 106310