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.gitattributes

@@ -58,3 +58,31 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,210 @@
+---
+license: cc-by-4.0
+task_categories:
+  - document-question-answering
+  - feature-extraction
+language:
+  - en
+tags:
+  - structured-extraction
+  - information-extraction
+  - document-understanding
+  - pdf
+  - resume
+  - json-schema
+  - benchmark
+size_categories:
+  - n<1K
+---
+
+# ResumeExtractBench
+
+A benchmark for evaluating schema-guided structured extraction from resume documents (PDFs). Contains **115 resumes** spanning expert-created templates, intentional parsing distractors, and handwritten documents.
+
+## Overview
+
+ResumeExtractBench evaluates how well extraction systems parse resumes into structured JSON data against a fixed schema. Each test case includes a source PDF, a JSON Schema defining the target output structure, and a human-verified ground truth extraction.
+
+### Key Statistics
+
+| Metric | Value |
+|--------|-------|
+| Total documents | 115 |
+| Handwritten resumes | 28 |
+| Adversarial distractor resumes | 10 |
+| LaTeX template resumes | 14 |
+| Expert-created (Canva) resumes | 63 |
+| Domains covered | 11 |
+| Schema sections scored | 9 |
+
+### Difficulty Distribution
+
+| Difficulty | Count | Description |
+|------------|-------|-------------|
+| Hard | 38 | Handwritten + adversarial distractors |
+| Medium | 77 | Expert-created digital templates (Canva, LaTeX) |
+
+### Domain Coverage
+
+| Domain | Count |
+|--------|-------|
+| Engineering | 24 |
+| General | 30 |
+| Healthcare | 15 |
+| Data Science | 15 |
+| Legal | 12 |
+| Design | 8 |
+| Education | 4 |
+| Finance | 3 |
+| Software Engineering | 2 |
+| Consulting | 1 |
+| Government | 1 |
+
+## Dataset Structure
+
+```
+ResumeExtractBench/
+├── README.md           # This file
+├── test.jsonl          # 115 test cases (one per line)
+├── schema.json         # Target JSON Schema for extraction
+└── pdfs/               # Source resume PDFs
+    ├── ai-engineer.pdf
+    ├── distractor-date-chaos-inconsistent-date-formats-throughout.pdf
+    ├── board-certified-ocularist-jane-doe.pdf
+    └── ...
+```
+
+### JSONL Format
+
+Each line in `test.jsonl` is a JSON object:
+
+```json
+{
+  "resume_id": "distractor-date-chaos-inconsistent-date-formats-throughout",
+  "files": {"pdf": "pdfs/distractor-date-chaos-inconsistent-date-formats-throughout.pdf"},
+  "ground_truth": { ... },
+  "difficulty": "hard",
+  "layout_tags": ["distractor", "date-chaos"],
+  "source": "synthetic-distractor",
+  "domain": "software-engineering",
+  "schema_version": "resume_v1"
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `resume_id` | string | Unique identifier (filename stem) |
+| `files.pdf` | string | Relative path to source PDF |
+| `ground_truth` | object | Human-verified extraction matching schema.json |
+| `difficulty` | string | `easy`, `medium`, or `hard` |
+| `layout_tags` | list | Visual/structural tags (e.g., `handwritten`, `distractor`, `canva`) |
+| `source` | string | Resume origin category |
+| `domain` | string | Professional domain |
+| `schema_version` | string | Schema version (`resume_v1`) |
+
+### Schema (resume_v1)
+
+The extraction schema defines 9 sections:
+
+| Section | Type | Key Fields |
+|---------|------|------------|
+| `basics` | Singleton | fname, lname, email, phone, city, state, country, hasPersonalPhoto |
+| `experience` | Entity list | company, position, dates, city, description[] |
+| `education` | Entity list | institution, area, studyType, dates, description[] |
+| `projects` | Entity list | name, url, description[] |
+| `personalSummary` | Text | Free-text summary/objective |
+| `certifications` | Entity list | name, issuer |
+| `awards` | Entity list | title |
+| `volunteering` | Entity list | organization, position, dates, description[] |
+| `skills` | Flat list | category, skills[] |
+
+See `schema.json` for the full JSON Schema definition.
+
+## Resume Categories
+
+### Adversarial Distractors (10 resumes)
+
+Synthetic resumes with intentional parsing challenges:
+
+- **Date chaos**: Inconsistent date formats (Jan 2020, 2020-06, 06/2021, Summer 2022)
+- **Esoteric titles**: Non-standard job titles (Chief Vibes Officer, Growth Hacker)
+- **European regional**: German-style CV with DOB, marital status, nationality
+- **Functional format**: Skills-first layout, no chronological work history
+- **Identity confusion**: Multi-part names, honorifics, maiden names, testimonial quotes
+- **Multilingual**: English with French/Spanish intertwined
+- **Prompt injection**: Hidden white text, PDF metadata injection, keyword stuffing
+- **Prose narrative**: Third-person writing, 500-word personal statement, emoji markers
+- **Same company repeat**: Same employer listed 4x with overlapping dates
+- **Skill-name collision**: Name collides with programming language (Ruby Chen at Python Solutions)
+
+### Handwritten Resumes (28 resumes)
+
+Scanned handwritten resumes testing OCR and layout understanding under real-world conditions.
+
+### Expert-Created Templates (77 resumes)
+
+Professionally designed resumes across Canva templates (63) and LaTeX templates (14) covering diverse visual layouts: single-column, two-column, sidebar, infographic, academic CV, federal resume, and more.
+
+## Usage
+
+### With resume-extract-bench CLI
+
+```bash
+pip install resume-extract-bench
+resume-bench download
+resume-bench grade-file --predictions my_predictions.jsonl --split test
+resume-bench leaderboard
+```
+
+### Direct Loading
+
+```python
+from huggingface_hub import snapshot_download
+import json
+
+root = snapshot_download(
+    repo_id="careerflow/ResumeExtractBench",
+    repo_type="dataset",
+)
+
+with open(f"{root}/test.jsonl") as f:
+    cases = [json.loads(line) for line in f if line.strip()]
+
+for case in cases:
+    pdf_path = f"{root}/{case['files']['pdf']}"
+    schema = json.load(open(f"{root}/schema.json"))
+    ground_truth = case["ground_truth"]
+    # Run your extractor on pdf_path against schema
+    # Compare output to ground_truth
+```
+
+### Predictions Format
+
+Submit predictions as JSONL with `resume_id` and extracted sections:
+
+```json
+{"resume_id": "ai-engineer", "basics": {"fname": "...", "lname": "..."}, "experience": [...], ...}
+```
+
+## Evaluation
+
+Scoring uses:
+- **Jaro-Winkler similarity** for field matching (threshold: 0.5)
+- **Hungarian algorithm** (scipy) for optimal entity alignment
+- **Token F1** for description quality
+- **Entity-level Precision/Recall/F1** with hallucination and omission rates
+
+## Citation
+
+```bibtex
+@misc{careerflow2026resumeextractbench,
+  title={ResumeExtractBench: A Benchmark for Schema-Guided Resume Extraction},
+  author={Careerflow and LlamaIndex},
+  year={2026},
+  url={https://huggingface.co/datasets/careerflow/ResumeExtractBench}
+}
+```
+
+## License
+
+CC-BY-4.0

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+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "resume_v1",
+  "x-benchmark-version": "1.0",
+  "type": "object",
+  "properties": {
+    "basics": {
+      "type": "object",
+      "description": "Basic personal and contact information",
+      "properties": {
+        "fname": {
+          "type": ["string", "null"],
+          "description": "First name of the person. Split the full name into first and last — everything before the final surname token is the first name (e.g. 'Jean Marie' from 'Jean Marie Schiraldi')."
+        },
+        "lname": {
+          "type": ["string", "null"],
+          "description": "Last name (surname) of the person. The final surname token from the full name (e.g. 'Schiraldi' from 'Jean Marie Schiraldi')."
+        },
+        "email": {
+          "type": ["string", "null"],
+          "description": "Primary email address"
+        },
+        "phone": {
+          "type": ["string", "null"],
+          "description": "Phone number exactly as written in the resume, including country code if present"
+        },
+        "city": {
+          "type": ["string", "null"],
+          "description": "City from the person's location (e.g. 'New York' from 'New York, NY, USA'). Extract only the city name, not state or country."
+        },
+        "state": {
+          "type": ["string", "null"],
+          "description": "State, province, or region from the person's location (e.g. 'NY' from 'New York, NY, USA'). Extract only the state/province, not city or country."
+        },
+        "country": {
+          "type": ["string", "null"],
+          "description": "Country from the person's location (e.g. 'USA' from 'New York, NY, USA'). Extract only the country name."
+        },
+        "hasPersonalPhoto": {
+          "type": ["boolean", "null"],
+          "description": "true if the resume contains a personal profile photo or headshot. false if there is no personal photo. Look for embedded images that appear to be portrait/headshot photographs of a person, typically near the top of the resume or in a sidebar. Do not count logos, icons, decorative graphics, or certification badges."
+        }
+      }
+    },
+    "experience": {
+      "type": "array",
+      "description": "Structured roles from experience sections. Only include roles from dedicated work-history sections with employer, title, dates, and responsibilities. Never include roles inferred from narrative summary, profile, or objective sections.",
+      "items": {
+        "type": "object",
+        "properties": {
+          "company": {
+            "type": ["string", "null"],
+            "description": "Name of employer or company"
+          },
+          "position": {
+            "type": ["string", "null"],
+            "description": "Job title or role only, copied exactly from a structured experience entry. Do not take titles from narrative summary/profile/objective sections, and do not append text from dates, locations, or other fields."
+          },
+          "startMonth": {
+            "type": ["integer", "null"],
+            "description": "Month the role started as an integer 1-12 (e.g. January = 1, December = 12). Parse from date strings like 'May 2025' -> 5. Null if no start month is stated."
+          },
+          "startYear": {
+            "type": ["integer", "null"],
+            "description": "Year the role started as a 4-digit integer (e.g. 2025). Parse from date strings. Null if no start year is stated."
+          },
+          "endMonth": {
+            "type": ["integer", "null"],
+            "description": "Month the role ended as an integer 1-12. Null if the role is ongoing or no end month is stated."
+          },
+          "endYear": {
+            "type": ["integer", "null"],
+            "description": "Year the role ended as a 4-digit integer. Null if the role is ongoing or no end year is stated."
+          },
+          "currentlyWorkHere": {
+            "type": ["boolean", "null"],
+            "description": "true if this is the person's current role (end date is 'Present', 'Current', or ongoing). false otherwise."
+          },
+          "city": {
+            "type": ["string", "null"],
+            "description": "City where the role is located (e.g. 'New York' from 'New York, NY'). Null if no city is stated."
+          },
+          "country": {
+            "type": ["string", "null"],
+            "description": "Country where the role is located. Null if no country is stated."
+          },
+          "description": {
+            "type": "array",
+            "items": {"type": "string"},
+            "description": "Array of individual bullet-point achievements or responsibilities. Each array element is one bullet. A bullet may wrap onto multiple visual lines; keep continuation lines in the same element. Strip bullet symbols (-, *, etc.) but preserve the complete visible text."
+          }
+        }
+      }
+    },
+    "education": {
+      "type": "array",
+      "description": "List of formal education entries — degrees, diplomas, and academic programs from universities, colleges, and schools. Do NOT include professional certifications, licenses, training courses, workshops, or professional memberships here — those belong in the certifications section.",
+      "items": {
+        "type": "object",
+        "properties": {
+          "institution": {
+            "type": ["string", "null"],
+            "description": "Name of the educational institution (university, college, or school)"
+          },
+          "area": {
+            "type": ["string", "null"],
+            "description": "Field of study or major"
+          },
+          "studyType": {
+            "type": ["string", "null"],
+            "description": "Type of degree or diploma (e.g. Bachelor's, Master's, PhD, Associate's, High School Diploma)"
+          },
+          "score": {
+            "type": ["string", "null"],
+            "description": "GPA, grade, or other academic metric"
+          },
+          "startMonth": {
+            "type": ["integer", "null"],
+            "description": "Month study began as an integer 1-12. Null if no start month is stated."
+          },
+          "startYear": {
+            "type": ["integer", "null"],
+            "description": "Year study began as a 4-digit integer. Null if no start year is stated."
+          },
+          "endMonth": {
+            "type": ["integer", "null"],
+            "description": "Month study ended as an integer 1-12. Null if still studying or no end month is stated."
+          },
+          "endYear": {
+            "type": ["integer", "null"],
+            "description": "Year study ended as a 4-digit integer. Null if still studying or no end year is stated."
+          },
+          "currentlyStudyHere": {
+            "type": ["boolean", "null"],
+            "description": "true if currently studying here (end date is 'Expected', 'Present', or 'Current'). false otherwise."
+          },
+          "city": {
+            "type": ["string", "null"],
+            "description": "City where institution is located"
+          },
+          "country": {
+            "type": ["string", "null"],
+            "description": "Country where institution is located"
+          },
+          "description": {
+            "type": "array",
+            "items": {"type": "string"},
+            "description": "List of education bullet points — coursework, honors, activities, etc. Do NOT include information already captured in other fields (score, institution, area, studyType, dates)."
+          }
+        }
+      }
+    },
+    "projects": {
+      "type": "array",
+      "description": "List of projects from dedicated project sections",
+      "items": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": ["string", "null"],
+            "description": "Name or title of the project"
+          },
+          "description": {
+            "type": "array",
+            "items": {"type": "string"},
+            "description": "List of project bullet points — details, technologies used, and accomplishments. Each array element is one bullet."
+          },
+          "startYear": {
+            "type": ["integer", "null"],
+            "description": "Year the project started as a 4-digit integer. Null if no start year is stated."
+          },
+          "endYear": {
+            "type": ["integer", "null"],
+            "description": "Year the project ended as a 4-digit integer. Null if the project is ongoing or no end year is stated."
+          },
+          "url": {
+            "type": ["string", "null"],
+            "description": "Project link or repository URL, if present in the resume."
+          }
+        }
+      }
+    },
+    "personalSummary": {
+      "type": ["string", "null"],
+      "description": "The candidate's professional summary, profile, or objective. Preserve paragraph boundaries from the source using double newlines between paragraphs. If the source section is written as bullets, preserve each bullet as a list item rather than collapsing into prose. Do not merge multiple paragraphs into one block."
+    },
+    "certifications": {
+      "type": "array",
+      "description": "Extract all certifications, licenses, and professional credentials mentioned anywhere in the resume — from dedicated certification sections, education sections, or standalone mentions.",
+      "items": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": ["string", "null"],
+            "description": "Name of the certification"
+          },
+          "issuer": {
+            "type": ["string", "null"],
+            "description": "Organization that issued the certification"
+          },
+          "date": {
+            "type": ["string", "null"],
+            "description": "Date of certification as written in the resume"
+          }
+        }
+      }
+    },
+    "awards": {
+      "type": "array",
+      "description": "Extract awards, honors, and recognitions from dedicated awards/honors sections. Only include named awards or formal recognitions — not job accomplishments from experience bullets or volunteer positions.",
+      "items": {
+        "type": "object",
+        "properties": {
+          "title": {
+            "type": ["string", "null"],
+            "description": "Name of the award"
+          },
+          "awarder": {
+            "type": ["string", "null"],
+            "description": "Organization that granted the award"
+          },
+          "date": {
+            "type": ["string", "null"],
+            "description": "Date of award as written in the resume"
+          }
+        }
+      }
+    },
+    "volunteering": {
+      "type": "array",
+      "description": "List of volunteer positions from dedicated volunteering, community involvement, or board membership sections. Only include genuine volunteer roles — not student clubs, extracurricular activities, sports, or workshop attendance.",
+      "items": {
+        "type": "object",
+        "properties": {
+          "organization": {
+            "type": ["string", "null"],
+            "description": "Name of the volunteer organization"
+          },
+          "position": {
+            "type": ["string", "null"],
+            "description": "Volunteer role or title"
+          },
+          "description": {
+            "type": "array",
+            "items": {"type": "string"},
+            "description": "List of volunteering bullet points. Strip bullet symbols but preserve the complete visible text."
+          },
+          "startYear": {
+            "type": ["integer", "null"],
+            "description": "Year volunteering started as a 4-digit integer. Null if no start year is stated."
+          },
+          "endYear": {
+            "type": ["integer", "null"],
+            "description": "Year volunteering ended as a 4-digit integer. Null if still volunteering or no end year is stated."
+          },
+          "currentlyVolunteerHere": {
+            "type": ["boolean", "null"],
+            "description": "true if currently volunteering here. false otherwise."
+          }
+        }
+      }
+    },
+    "skills": {
+      "type": "array",
+      "description": "List of skill categories extracted from the resume. If the resume already groups skills under category headings (e.g. 'Tools: Git, Docker'), preserve that structure exactly.",
+      "items": {
+        "type": "object",
+        "properties": {
+          "category": {
+            "type": ["string", "null"],
+            "description": "Skill category or group name. FIRST check if the resume already has categories in the format 'CategoryName: Skill1, Skill2, ...' (e.g. 'Programming Languages: Python, Java'). If existing categories are found, use those exact category names. If the resume lists skills as a flat or comma-separated list without explicit category labels, use 'Skills' as the default category name. Do NOT use the section heading as a category name. Do not use a single skill name as the category."
+          },
+          "skills": {
+            "type": "array",
+            "items": {"type": "string"},
+            "description": "List of individual skills in this category. Skills should be concise keyword-style items, e.g. 'Python', 'Project Management', 'Statistical Process Control (SPC)'. Do NOT include full sentences or competency statements. Only include skills explicitly present in the resume — no guessing or inventing. Preserve original casing. Each skill must appear in exactly one category. Do not repeat a skill across categories."
+          }
+        }
+      }
+    }
+  }
+}