Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
SkillJev data v008 + locked held-out
Browse files- .gitattributes +2 -0
- README.md +44 -0
- RUBRIC.md +68 -0
- SCHEMA.md +72 -0
- TAXONOMY.md +22 -0
- heldout_locked.jsonl +90 -0
- heldout_locked_v003.sha256 +1 -0
- train.jsonl +3 -0
- trainer_heldout_locked.jsonl +0 -0
- trainer_train.jsonl +3 -0
.gitattributes
CHANGED
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@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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train.jsonl filter=lfs diff=lfs merge=lfs -text
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trainer_train.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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language: [en]
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task_categories: [text-classification]
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tags: [resume, cv, skills, hr-tech, nli, synthetic]
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pretty_name: SkillJev data
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size_categories: [10K<n<100K]
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configs:
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- config_name: default
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data_files:
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- {split: train, path: train.jsonl}
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- {split: heldout_locked, path: heldout_locked.jsonl}
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---
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# SkillJev data
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This dataset holds (job requirement, candidate evidence) pairs with three labels: **skill group**, **evidence** (`supported/partial/contradicted/insufficient`), and **proficiency** (`0–5` or `unknown`; unknown ≠ 0). It was used to train [`niko0xdev/skilljev`](https://huggingface.co/niko0xdev/skilljev).
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## Files
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| File | Rows | Description |
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|---|---|---|
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| `train.jsonl` | 38,938 | training set (v008, after PII filtering) |
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| `heldout_locked.jsonl` | 90 | locked evaluation set, byte-identical to the version used for every reported metric (`heldout_locked_v003.sha256`) |
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| `trainer_train.jsonl`, `trainer_heldout_locked.jsonl` | 116,814 / 270 | same data in multiple-choice trainer format `{state, question, options, type, target, meta}`, 3 rows per sample (one per head) |
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| `RUBRIC.md`, `SCHEMA.md`, `TAXONOMY.md` | – | labeling rubric (incl. Real-CV convention v0.2), JSON schema, skill taxonomy (55 skills, 10 groups) |
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## Composition (train)
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| Source (`meta.source`) | Rows | Labels (`meta.label_status`) |
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|---|---|---|
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| synthetic (`synthetic_v002/v004/v005/v006/v008`) | 31,960 | template-generated: case types × rubric anchors × paraphrases, including level 3/4/5 boundary, partial-vs-supported contrast, and convention-v0.2 cases |
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| `djinni_cv_en` real CV excerpts | 6,928 | 1,223 `agent_reviewed_v005` (read individually and relabelled per rubric); 5,705 `silver_rules_v006` (rule-based labels, about 76% agreement with reviewed labels); convention v0.2 applied to all |
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| `handwritten_v001` | 50 | hand-written draft labels |
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**Held-out:** 70 synthetic samples use templates that never appear in train; 20 are reviewed real excerpts. The CV records they come from are excluded from train, and train is deduplicated against held-out text.
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## Sources & attribution
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Real excerpts are single sentences taken from [**lang-uk/recruitment-dataset-candidate-profiles-english**](https://huggingface.co/datasets/lang-uk/recruitment-dataset-candidate-profiles-english) (Djinni candidate profiles, **MIT license**). Please cite that dataset as well when using these excerpts. Synthetic text was written from templates for this project.
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## Anonymization
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- Only short excerpts are kept (≤ ~260 characters, one sentence or line). No full profiles and no source profile IDs beyond the dataset's own record id (`meta.source_record`).
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- Excerpts were filtered at extraction and rescanned before publishing. Any row matching an email, phone number, URL or domain, social handle (@, LinkedIn, GitHub, Telegram, Skype), self-introduction ("my name is"), or a list of common first names was **dropped** (103 rows removed from train, 0 from held-out).
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- Residual risk: company or project names can remain, and name detection is heuristic. Report issues via the Community tab and the rows will be removed.
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## Labels
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See `RUBRIC.md`. Labels are synthetic or agent/rule-produced and have **not** been verified by a professional recruiter. Use this data for research and prototyping, not as ground truth for hiring decisions.
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RUBRIC.md
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# SkillJev Competency Rubric v0.1
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## Core principle: UNKNOWN ≠ LEVEL 0
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- **Unknown** = the provided evidence does not let us estimate a level (skill absent, only listed, or ambiguous). This is the DEFAULT when evidence is missing. Radar shows a gap/hatched axis, never 0.
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- **Level 0** = there is *explicit* evidence of no experience (e.g. "no production experience with Kubernetes", "currently learning Go, never used it at work", interview confirmed none).
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- A skill appearing only in a "Skills:" keyword list ⇒ evidence `insufficient` (or at most `partial`), proficiency **Unknown** unless context gives level signals.
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- Self-reported (CV) and verified (interview/assessment) are separate layers: `source_type` in schema. CV-only evidence caps confidence; it never caps level, but levels ≥4 from CV need concrete outcome/scope evidence.
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## Generic levels (apply per skill, then skill-specific anchors refine)
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| Level | Name | Evidence signals |
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|---|---|---|
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| 0 | None (explicit) | Candidate/interviewer explicitly states no experience |
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| 1 | Awareness | Coursework, tutorial, toy/personal project, "familiar with" |
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| 2 | Assisted | Used at work on tasks under guidance; small features; < ~1 yr hands-on |
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| 3 | Independent | Owned features/services in production end-to-end; debugged real issues; ~2+ yrs |
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| 4 | Advanced | Designed systems/subsystems with this skill; performance/scale outcomes; set team practices; mentored |
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| 5 | Expert / Authority | Org-wide standards, architecture across teams, OSS maintainer/contributor of core project, talks/papers, solved novel hard problems at large scale |
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| unknown | Unknown | Not enough evidence to pick a level |
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Years are weak signals only; scope, ownership, and outcomes dominate.
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## Evidence classes (evidence head)
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| Label | Definition |
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|---|---|
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| `supported` | Evidence directly shows the requirement is met (skill used at ≥ required level / required context) |
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| `partial` | Evidence shows related or lower-level use, adjacent tech, or only part of the requirement |
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| `contradicted` | Evidence conflicts with the requirement (explicit no-experience, timeline conflict, clearly below in a way stated) |
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| `insufficient` | No evidence, or keyword-only mention, or too vague to judge |
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Mapping guide: `insufficient` → proficiency normally `unknown`. `contradicted` → often level 0 or a stated low level. `partial`/`supported` → a numeric level.
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## Skill-specific anchors (examples)
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**kubernetes (cloud_devops)**: L1 ran minikube tutorial · L2 deployed apps with existing Helm charts · L3 wrote/maintained manifests/Helm, debugged pods in prod · L4 designed cluster setup, autoscaling, multi-env rollout, operators · L5 platform owner for many clusters/teams, upstream contributions.
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**system_design (system_design)**: L1 describes patterns · L2 contributed components to an existing design · L3 designed a single service incl. data model & failure modes · L4 designed multi-service systems with explicit trade-offs at scale (throughput/latency numbers) · L5 org-level architecture, led migrations across teams.
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**postgresql (data_storage)**: L1 basic CRUD · L2 schema changes, joins, ORM usage · L3 indexing, query plans, migrations in prod · L4 partitioning, replication, tuning at high load · L5 deep internals, extension dev, large-scale DBA leadership.
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## Example axes — Senior Backend Engineer (JD target)
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| Axis (group) | Target level |
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|---|---|
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| lang_core (Go/Java) | 4 |
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| api_design | 4 |
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| data_storage | 4 |
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| system_design | 4 |
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| cloud_devops | 3 |
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| reliability_obs | 3 |
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| security | 3 |
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| testing_quality | 3 |
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| leadership | 3 |
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## Confidence (calibrated)
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- Model outputs softmax per head; calibrated with temperature scaling on the dev split (ECE target ≤ 0.05).
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- `review_flag = true` if max prob < 0.7, or evidence=`contradicted`, or level ≥4 from CV-only.
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## Real-CV labeling convention v0.2 (2026-10-16, adopted as standard; derived from the locked held-out reviewer's conventions — no held-out text copied into train)
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Applies to single CV excerpts (Djinni). Requirement target is 3–4.
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| Pattern in excerpt | evidence | proficiency |
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|---|---|---|
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| Keyword/stack list only ("Languages: …", "Technologies: …") | insufficient | unknown |
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| Skill absent / wrong sense (e.g. "go-to-market", "3 node cluster") | insufficient | unknown |
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| Only *wants/plans/interested in* learning the skill | insufficient | unknown |
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| Courses, diploma, certificate, tutorial, "basics of", homework | partial | 1 |
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| *Practising/learning while doing*: mentorship/teaching program, "learning X while working on project", "know basics + have experience working with X" among many tools | partial | 2 |
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| Single project mention with the skill but no ownership/duration ("Worked on a project (C# Unity)") | partial | 2 |
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| Skill named among several in a generic usage claim ("projects using C++, C, Python, C#") | partial | unknown |
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| < 2 years, junior, intern, small mentoring (1–3 people) | partial | 2 |
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| ≥ 2 years commercial with the skill, or owned/delivered features in production; a single metric improvement (e.g. "reduced deploy time 50%") without design/lead scope | supported | 3 |
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| Designed/architected/led systems or teams with this skill at scale (multi-team, large migration, platform) | supported | 4 |
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| Org-wide authority / core OSS maintainer | supported | 5 |
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SCHEMA.md
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# SkillJev Skill Assessment Schema v0.1 (JSON)
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Three objects: `JDRequirement`, `CandidateEvidence`, `Assessment`. All carry `schema_version: "0.1"`, `taxonomy_version: "0.1"`.
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## JDRequirement
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```json
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{
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"requirement_id": "jd-0001-r03",
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"jd_id": "jd-0001",
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"role_title": "Senior Backend Engineer",
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"text": "5+ years building high-throughput services in Go or Java",
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"skill_id": "go",
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"group_id": "lang_core",
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"target_level": 4,
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"importance": "must|nice",
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"source_span": {"start": 412, "end": 470}
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}
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```
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JSON Schema (abridged):
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```json
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{"type":"object","required":["requirement_id","text","group_id","target_level","importance"],
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"properties":{"group_id":{"enum":["lang_core","api_design","data_storage","system_design","cloud_devops","reliability_obs","security","testing_quality","frontend","leadership","other"]},
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"target_level":{"type":"integer","minimum":0,"maximum":5},
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"importance":{"enum":["must","nice"]}}}
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```
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## CandidateEvidence
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```json
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{
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"evidence_id": "cand-0042-e07",
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"candidate_id": "cand-0042",
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"source_type": "cv|portfolio|interview|assessment",
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"section": "experience|projects|skills_list|summary|education|interview_note",
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"text": "Led migration of 30 services to Kubernetes (EKS), wrote Helm charts and HPA policies",
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"source_span": {"doc_id": "cv-0042", "start": 1203, "end": 1290},
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"date_range": {"start": "2022-03", "end": "2024-06"}
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}
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```
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`source_type` separates **self-reported** (cv, portfolio) from **verified** (interview, assessment).
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## Assessment (model + human output, one per requirement×candidate)
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```json
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{
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"requirement_id": "jd-0001-r05",
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"candidate_id": "cand-0042",
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"group_id": "cloud_devops",
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"evidence_label": "supported|partial|contradicted|insufficient",
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"proficiency": 0,
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"proficiency_label": "0|1|2|3|4|5|unknown",
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"confidence": {"skill": 0.97, "evidence": 0.91, "proficiency": 0.74},
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"review_flag": false,
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"evidence_ids": ["cand-0042-e07"],
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"citations": [{"evidence_id": "cand-0042-e07", "quote": "wrote Helm charts and HPA policies"}],
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"verification": "self_reported|verified",
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"rationale": "short, references quotes only",
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"model": {"name": "niko0xdev/skilljev", "revision": "..."},
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"human_override": null
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}
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```
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Constraints: `proficiency` is `null` iff `proficiency_label == "unknown"`. If `evidence_ids` is empty ⇒ `evidence_label = insufficient` and `proficiency_label = unknown` (never 0). Citations must be exact substrings of evidence text.
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## Radar aggregation
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Per axis: JD target = max(target_level of must requirements in group). Candidate = confidence-weighted median of numeric levels; if all requirements in group are `unknown` → axis state `unknown` (not 0). Three layers: `jd_target`, `cv_evidence`, `verified`.
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## Training sample (intermediate format) — `data/samples_*.jsonl`
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One line = one requirement–evidence pair with all head labels:
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```json
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{"id":"sj-v001-0001","requirement":{...JDRequirement subset...},"evidence":[{...}],
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"labels":{"group_id":"cloud_devops","evidence_label":"supported","proficiency_label":"4"},
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"meta":{"difficulty":"easy|hard","case_type":"...","source":"handwritten_v001"}}
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```
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Exported to julia/OpenJev trainer rows `{state, question, options, type, target, meta}` — 3 rows per sample (one per head) — by `scripts/export_trainer.py` → `data/trainer_v001.jsonl`. Confidence is not a trained label; it comes from calibrated softmax.
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TAXONOMY.md
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# SkillJev Taxonomy v0.1 — Backend / Fullstack (IT/Engineering)
|
| 2 |
+
|
| 3 |
+
10 competency groups (a JD maps to 6–10 of them = radar axes). Each group has stable `group_id`; skills are leaves (`skill_id`, lowercase snake_case). The **skill head** predicts `group_id`.
|
| 4 |
+
|
| 5 |
+
| group_id | Name | Example skills (leaves) |
|
| 6 |
+
|---|---|---|
|
| 7 |
+
| `lang_core` | Programming Languages & Core CS | java, go, python, node_ts, kotlin, rust, concurrency, data_structures |
|
| 8 |
+
| `api_design` | API & Service Design | rest, grpc, graphql, api_versioning, idempotency, openapi |
|
| 9 |
+
| `data_storage` | Data Storage & Modeling | postgresql, mysql, mongodb, redis, schema_design, query_optimization, migrations |
|
| 10 |
+
| `system_design` | Distributed Systems & Architecture | microservices, event_driven, kafka, caching_strategy, scalability, consistency |
|
| 11 |
+
| `cloud_devops` | Cloud, Containers & Delivery | aws, gcp, docker, kubernetes, terraform, ci_cd |
|
| 12 |
+
| `reliability_obs` | Reliability & Observability | monitoring, tracing, slo_sli, incident_response, performance_tuning |
|
| 13 |
+
| `security` | Application & Infra Security | authn_authz, oauth_oidc, owasp, secrets_mgmt, encryption |
|
| 14 |
+
| `testing_quality` | Testing & Code Quality | unit_testing, integration_testing, tdd, code_review, static_analysis |
|
| 15 |
+
| `frontend` | Frontend (fullstack roles) | react, typescript_fe, state_mgmt, web_performance, accessibility |
|
| 16 |
+
| `leadership` | Technical Leadership & Collaboration | mentoring, tech_design_docs, cross_team, ownership, hiring |
|
| 17 |
+
|
| 18 |
+
Rules
|
| 19 |
+
- One requirement → exactly one primary `group_id` (secondary groups allowed in `meta.secondary_groups`, not trained in v1).
|
| 20 |
+
- Unmapped skills → `other` (kept out of v1 training; logged for taxonomy growth).
|
| 21 |
+
- Synonyms normalized in `taxonomy/aliases` (e.g. "k8s"→kubernetes, "Postgres"→postgresql, "AWS ECS"→aws+docker).
|
| 22 |
+
- Taxonomy is versioned (`taxonomy_version: "0.1"`); every sample stores it.
|
heldout_locked.jsonl
ADDED
|
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|
| 1 |
+
{"id": "sj-v002-ho-0001", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in CI/CD", "skill": "CI/CD", "group_id": "cloud_devops", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0001-e1", "section": "projects", "source_type": "portfolio", "text": "Weekend hackathon prototype where I first experimented with CI/CD."}], "labels": {"group_id": "cloud_devops", "evidence_label": "partial", "proficiency_label": "1"}, "meta": {"difficulty": "easy", "case_type": "toy_project", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 2 |
+
{"id": "sj-v002-ho-0002", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in unit testing", "skill": "unit testing", "group_id": "testing_quality", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0002-e1", "section": "summary", "source_type": "cv", "text": "Technical writer producing API documentation. Interests: hiking, chess."}], "labels": {"group_id": "testing_quality", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "missing_skill", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 3 |
+
{"id": "sj-v002-ho-0003", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in technical design docs", "skill": "technical design docs", "group_id": "leadership", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0003-e1", "section": "experience", "source_type": "cv", "text": "As an associate engineer I supported colleagues who wrote design docs for team features, mostly pairing."}], "labels": {"group_id": "leadership", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "easy", "case_type": "below_target", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 4 |
+
{"id": "sj-v002-ho-0004", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in AWS", "skill": "AWS", "group_id": "cloud_devops", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0004-e1", "section": "summary", "source_type": "cv", "text": "Backend engineer building Java services deployed by a separate ops team to VMs. Interests: hiking, chess."}], "labels": {"group_id": "cloud_devops", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "missing_skill", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 5 |
+
{"id": "sj-v002-ho-0005", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Node.js", "skill": "Node.js", "group_id": "lang_core", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0005-e1", "section": "experience", "source_type": "cv", "text": "At a fintech scale-up I led the Node.js/TypeScript gateway rewrite reducing p99 from 900ms to 120ms; this became the reference design for other teams."}], "labels": {"group_id": "lang_core", "evidence_label": "supported", "proficiency_label": "4"}, "meta": {"difficulty": "easy", "case_type": "direct_strong", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 6 |
+
{"id": "sj-v002-ho-0006", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in event-driven architecture", "skill": "event-driven architecture", "group_id": "system_design", "target_level": 4, "importance": "must"}, "evidence": [], "labels": {"group_id": "system_design", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "easy", "case_type": "no_evidence", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 7 |
+
{"id": "sj-v002-ho-0007", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in microservices", "skill": "microservices", "group_id": "system_design", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0007-e1", "section": "experience", "source_type": "cv", "text": "Org-wide owner of microservices: architected the monolith-to-microservices split into 25 services with clear boundaries; maintainer of a widely used open-source microservices library."}], "labels": {"group_id": "system_design", "evidence_label": "supported", "proficiency_label": "5"}, "meta": {"difficulty": "easy", "case_type": "expert", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 8 |
+
{"id": "sj-v002-ho-0008", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in incident response", "skill": "incident response", "group_id": "reliability_obs", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0008-e1", "section": "experience", "source_type": "cv", "text": "Over two years in production I took part in on-call and wrote postmortems without supervision."}], "labels": {"group_id": "reliability_obs", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "easy", "case_type": "direct_moderate", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 9 |
+
{"id": "sj-v002-ho-0009", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Docker", "skill": "Docker", "group_id": "cloud_devops", "target_level": 4, "importance": "must"}, "evidence": [], "labels": {"group_id": "cloud_devops", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "easy", "case_type": "no_evidence", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 10 |
+
{"id": "sj-v002-ho-0010", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in authorization (RBAC)", "skill": "authorization (RBAC)", "group_id": "security", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0010-e1", "section": "experience", "source_type": "cv", "text": "CV says: designed fine-grained RBAC/ABAC service used by all products."}, {"evidence_id": "sj-v002-ho-0010-e2", "section": "interview", "source_type": "interview", "text": "Interview check on authorization (RBAC) failed; candidate admitted only minor involvement."}], "labels": {"group_id": "security", "evidence_label": "contradicted", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "cv_vs_interview", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 11 |
+
{"id": "sj-v002-ho-0011", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Go", "skill": "Go", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0011-e1", "section": "summary", "source_type": "cv", "text": "Senior iOS engineer (Swift) shipping consumer apps for 6 years. Interests: hiking, chess."}], "labels": {"group_id": "lang_core", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "missing_skill", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 12 |
+
{"id": "sj-v002-ho-0012", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Python", "skill": "Python", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0012-e1", "section": "experience", "source_type": "cv", "text": "CV says: architected an async Python (FastAPI) platform serving 30 internal teams."}, {"evidence_id": "sj-v002-ho-0012-e2", "section": "interview", "source_type": "interview", "text": "Interview check on Python failed; candidate admitted only minor involvement."}], "labels": {"group_id": "lang_core", "evidence_label": "contradicted", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "cv_vs_interview", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 13 |
+
{"id": "sj-v002-ho-0013", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Node.js", "skill": "Node.js", "group_id": "lang_core", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0013-e1", "section": "experience", "source_type": "cv", "text": "Org-wide owner of Node.js: led the Node.js/TypeScript gateway rewrite reducing p99 from 900ms to 120ms; maintainer of a widely used open-source Node.js library."}], "labels": {"group_id": "lang_core", "evidence_label": "supported", "proficiency_label": "5"}, "meta": {"difficulty": "easy", "case_type": "expert", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 14 |
+
{"id": "sj-v002-ho-0014", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in PostgreSQL", "skill": "PostgreSQL", "group_id": "data_storage", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0014-e1", "section": "summary", "source_type": "cv", "text": "Frontend developer focused on CSS animations and design systems. Interests: hiking, chess."}], "labels": {"group_id": "data_storage", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "missing_skill", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 15 |
+
{"id": "sj-v002-ho-0015", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Python", "skill": "Python", "group_id": "lang_core", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0015-e1", "section": "experience", "source_type": "cv", "text": "As an associate engineer I supported colleagues who shipped Django features and maintained them in production, mostly pairing."}], "labels": {"group_id": "lang_core", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "easy", "case_type": "below_target", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 16 |
+
{"id": "sj-v002-ho-0016", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in static analysis", "skill": "static analysis", "group_id": "testing_quality", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0016-e1", "section": "projects", "source_type": "portfolio", "text": "Weekend hackathon prototype where I first experimented with static analysis."}], "labels": {"group_id": "testing_quality", "evidence_label": "partial", "proficiency_label": "1"}, "meta": {"difficulty": "easy", "case_type": "toy_project", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 17 |
+
{"id": "sj-v002-ho-0017", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in C#/.NET", "skill": "C#/.NET", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0017-e1", "section": "summary", "source_type": "cv", "text": "Note: never worked with C#/.NET."}], "labels": {"group_id": "lang_core", "evidence_label": "contradicted", "proficiency_label": "0"}, "meta": {"difficulty": "easy", "case_type": "explicit_none", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 18 |
+
{"id": "sj-v002-ho-0018", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Kotlin", "skill": "Kotlin", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0018-e1", "section": "experience", "source_type": "cv", "text": "As an associate engineer I supported colleagues who built Ktor endpoints in production, mostly pairing."}], "labels": {"group_id": "lang_core", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "easy", "case_type": "below_target", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 19 |
+
{"id": "sj-v002-ho-0019", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Redis", "skill": "Redis", "group_id": "data_storage", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0019-e1", "section": "experience", "source_type": "cv", "text": "Over two years in production I added Redis caching with TTL invalidation without supervision."}], "labels": {"group_id": "data_storage", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "easy", "case_type": "direct_moderate", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 20 |
+
{"id": "sj-v002-ho-0020", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in MySQL", "skill": "MySQL", "group_id": "data_storage", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0020-e1", "section": "experience", "source_type": "cv", "text": "Org-wide owner of MySQL: set up MySQL semi-sync replication and online schema changes at 20k QPS; maintainer of a widely used open-source MySQL library."}], "labels": {"group_id": "data_storage", "evidence_label": "supported", "proficiency_label": "5"}, "meta": {"difficulty": "easy", "case_type": "expert", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 21 |
+
{"id": "sj-v002-ho-0021", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in PostgreSQL", "skill": "PostgreSQL", "group_id": "data_storage", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0021-e1", "section": "experience", "source_type": "cv", "text": "At a fintech scale-up I partitioned a 3TB PostgreSQL table and tuned indexes cutting queries from 40s to 1s; this became the reference design for other teams."}], "labels": {"group_id": "data_storage", "evidence_label": "supported", "proficiency_label": "4"}, "meta": {"difficulty": "easy", "case_type": "direct_strong", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 22 |
+
{"id": "sj-v002-ho-0022", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in OpenAPI", "skill": "OpenAPI", "group_id": "api_design", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0022-e1", "section": "interview", "source_type": "interview", "text": "Interviewer: asked about OpenAPI; candidate said they have zero experience with it."}], "labels": {"group_id": "api_design", "evidence_label": "contradicted", "proficiency_label": "0"}, "meta": {"difficulty": "easy", "case_type": "verified_none", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 23 |
+
{"id": "sj-v002-ho-0023", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in gRPC", "skill": "gRPC", "group_id": "api_design", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0023-e1", "section": "summary", "source_type": "cv", "text": "Note: never worked with gRPC."}], "labels": {"group_id": "api_design", "evidence_label": "contradicted", "proficiency_label": "0"}, "meta": {"difficulty": "easy", "case_type": "explicit_none", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 24 |
+
{"id": "sj-v002-ho-0024", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in accessibility", "skill": "accessibility", "group_id": "frontend", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0024-e1", "section": "summary", "source_type": "cv", "text": "Hardworking and motivated, eager to grow."}], "labels": {"group_id": "frontend", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "easy", "case_type": "vague_claim", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 25 |
+
{"id": "sj-v002-ho-0025", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in mentoring", "skill": "mentoring", "group_id": "leadership", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0025-e1", "section": "summary", "source_type": "cv", "text": "Note: never worked with mentoring."}], "labels": {"group_id": "leadership", "evidence_label": "contradicted", "proficiency_label": "0"}, "meta": {"difficulty": "easy", "case_type": "explicit_none", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 26 |
+
{"id": "sj-v002-ho-0026", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in hiring", "skill": "hiring", "group_id": "leadership", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0026-e1", "section": "experience", "source_type": "cv", "text": "Over two years in production I conducted technical interviews without supervision."}], "labels": {"group_id": "leadership", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "easy", "case_type": "direct_moderate", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 27 |
+
{"id": "sj-v002-ho-0027", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in distributed tracing", "skill": "distributed tracing", "group_id": "reliability_obs", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0027-e1", "section": "experience", "source_type": "cv", "text": "At a fintech scale-up I rolled out OpenTelemetry tracing across 30 services and used it to cut latency 40%; this became the reference design for other teams."}], "labels": {"group_id": "reliability_obs", "evidence_label": "supported", "proficiency_label": "4"}, "meta": {"difficulty": "easy", "case_type": "direct_strong", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
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| 28 |
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{"id": "sj-v002-ho-0028", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in REST API design", "skill": "REST API design", "group_id": "api_design", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0028-e1", "section": "experience", "source_type": "cv", "text": "As an associate engineer I supported colleagues who built REST endpoints with validation and pagination, mostly pairing."}], "labels": {"group_id": "api_design", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "easy", "case_type": "below_target", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
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| 29 |
+
{"id": "sj-v002-ho-0029", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Java", "skill": "Java", "group_id": "lang_core", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0029-e1", "section": "experience", "source_type": "cv", "text": "CV says: designed a Java/Spring settlement engine processing $2B/yr and cut GC pauses 80%."}, {"evidence_id": "sj-v002-ho-0029-e2", "section": "interview", "source_type": "interview", "text": "Interview check on Java failed; candidate admitted only minor involvement."}], "labels": {"group_id": "lang_core", "evidence_label": "contradicted", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "cv_vs_interview", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
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| 30 |
+
{"id": "sj-v002-ho-0030", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in performance tuning", "skill": "performance tuning", "group_id": "reliability_obs", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0030-e1", "section": "experience", "source_type": "cv", "text": "As an associate engineer I supported colleagues who fixed N+1 queries and memory leaks, mostly pairing."}], "labels": {"group_id": "reliability_obs", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "easy", "case_type": "below_target", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
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| 31 |
+
{"id": "sj-v002-ho-0031", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in MongoDB", "skill": "MongoDB", "group_id": "data_storage", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0031-e1", "section": "experience", "source_type": "cv", "text": "Member of the group that modeled sharded MongoDB collections for 2B documents; I handled supporting tasks."}], "labels": {"group_id": "data_storage", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "team_credit", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 32 |
+
{"id": "sj-v002-ho-0032", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in GraphQL", "skill": "GraphQL", "group_id": "api_design", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0032-e1", "section": "summary", "source_type": "cv", "text": "Note: never worked with GraphQL."}], "labels": {"group_id": "api_design", "evidence_label": "contradicted", "proficiency_label": "0"}, "meta": {"difficulty": "easy", "case_type": "explicit_none", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
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| 33 |
+
{"id": "sj-v002-ho-0033", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in TypeScript (frontend)", "skill": "TypeScript (frontend)", "group_id": "frontend", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0033-e1", "section": "experience", "source_type": "cv", "text": "Over two years in production I wrote typed React components without supervision."}], "labels": {"group_id": "frontend", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "easy", "case_type": "direct_moderate", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 34 |
+
{"id": "sj-v002-ho-0034", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in code review", "skill": "code review", "group_id": "testing_quality", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0034-e1", "section": "experience", "source_type": "cv", "text": "At a fintech scale-up I created code review guidelines and reviewed ~20 PRs/week as tech lead; this became the reference design for other teams."}], "labels": {"group_id": "testing_quality", "evidence_label": "supported", "proficiency_label": "4"}, "meta": {"difficulty": "easy", "case_type": "direct_strong", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 35 |
+
{"id": "sj-v002-ho-0035", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in state management", "skill": "state management", "group_id": "frontend", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0035-e1", "section": "experience", "source_type": "cv", "text": "Over two years in production I used Redux in production features without supervision."}], "labels": {"group_id": "frontend", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "easy", "case_type": "direct_moderate", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
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| 36 |
+
{"id": "sj-v002-ho-0036", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in TDD", "skill": "TDD", "group_id": "testing_quality", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0036-e1", "section": "summary", "source_type": "cv", "text": "Seasoned TDD specialist."}], "labels": {"group_id": "testing_quality", "evidence_label": "partial", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "claim_no_detail", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 37 |
+
{"id": "sj-v002-ho-0037", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Kafka", "skill": "Kafka", "group_id": "system_design", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0037-e1", "section": "summary", "source_type": "cv", "text": "QA engineer writing manual test plans. Interests: hiking, chess."}], "labels": {"group_id": "system_design", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "missing_skill", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 38 |
+
{"id": "sj-v002-ho-0038", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in gRPC", "skill": "gRPC", "group_id": "api_design", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0038-e1", "section": "summary", "source_type": "cv", "text": "Data analyst building Tableau dashboards and SQL reports. Interests: hiking, chess."}], "labels": {"group_id": "api_design", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "missing_skill", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 39 |
+
{"id": "sj-v002-ho-0039", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in static analysis", "skill": "static analysis", "group_id": "testing_quality", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0039-e1", "section": "interview", "source_type": "interview", "text": "Interviewer: asked about static analysis; candidate said they have zero experience with it."}], "labels": {"group_id": "testing_quality", "evidence_label": "contradicted", "proficiency_label": "0"}, "meta": {"difficulty": "easy", "case_type": "verified_none", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 40 |
+
{"id": "sj-v002-ho-0040", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in integration testing", "skill": "integration testing", "group_id": "testing_quality", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0040-e1", "section": "experience", "source_type": "cv", "text": "As an associate engineer I supported colleagues who wrote integration tests against real databases, mostly pairing."}], "labels": {"group_id": "testing_quality", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "easy", "case_type": "below_target", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 41 |
+
{"id": "sj-v002-ho-0041", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in event-driven architecture", "skill": "event-driven architecture", "group_id": "system_design", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0041-e1", "section": "experience", "source_type": "cv", "text": "Over two years in production I implemented event handlers in an event-driven system without supervision."}], "labels": {"group_id": "system_design", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "easy", "case_type": "direct_moderate", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 42 |
+
{"id": "sj-v002-ho-0042", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in MongoDB", "skill": "MongoDB", "group_id": "data_storage", "target_level": 4, "importance": "must"}, "evidence": [], "labels": {"group_id": "data_storage", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "easy", "case_type": "no_evidence", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 43 |
+
{"id": "sj-v002-ho-0043", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Kubernetes", "skill": "Kubernetes", "group_id": "cloud_devops", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0043-e1", "section": "summary", "source_type": "cv", "text": "Note: never worked with Kubernetes."}], "labels": {"group_id": "cloud_devops", "evidence_label": "contradicted", "proficiency_label": "0"}, "meta": {"difficulty": "easy", "case_type": "explicit_none", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 44 |
+
{"id": "sj-v002-ho-0044", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in monitoring", "skill": "monitoring", "group_id": "reliability_obs", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0044-e1", "section": "experience", "source_type": "cv", "text": "CV says: built the company observability stack (Prometheus, Grafana) and SLO program."}, {"evidence_id": "sj-v002-ho-0044-e2", "section": "interview", "source_type": "interview", "text": "Interview check on monitoring failed; candidate admitted only minor involvement."}], "labels": {"group_id": "reliability_obs", "evidence_label": "contradicted", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "cv_vs_interview", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 45 |
+
{"id": "sj-v002-ho-0045", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in integration testing", "skill": "integration testing", "group_id": "testing_quality", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0045-e1", "section": "summary", "source_type": "cv", "text": "Technical writer producing API documentation. Interests: hiking, chess."}], "labels": {"group_id": "testing_quality", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "missing_skill", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 46 |
+
{"id": "sj-v002-ho-0046", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in OpenAPI", "skill": "OpenAPI", "group_id": "api_design", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0046-e1", "section": "skills_list", "source_type": "cv", "text": "Tech stack: OpenAPI | Slack | Confluence | Linux"}], "labels": {"group_id": "api_design", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "keyword_only", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 47 |
+
{"id": "sj-v002-ho-0047", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in CI/CD", "skill": "CI/CD", "group_id": "cloud_devops", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0047-e1", "section": "experience", "source_type": "cv", "text": "Member of the group that designed CI/CD with canary and automated rollback for 60 repos; I handled supporting tasks."}], "labels": {"group_id": "cloud_devops", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "team_credit", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 48 |
+
{"id": "sj-v002-ho-0048", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in performance tuning", "skill": "performance tuning", "group_id": "reliability_obs", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0048-e1", "section": "experience", "source_type": "cv", "text": "At a fintech scale-up I profiled and tuned JVM services increasing throughput 3x on the same hardware; this became the reference design for other teams."}], "labels": {"group_id": "reliability_obs", "evidence_label": "supported", "proficiency_label": "4"}, "meta": {"difficulty": "easy", "case_type": "direct_strong", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 49 |
+
{"id": "sj-v002-ho-0049", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in MongoDB", "skill": "MongoDB", "group_id": "data_storage", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0049-e1", "section": "experience", "source_type": "cv", "text": "Over two years in production I built MongoDB aggregations for reporting without supervision."}], "labels": {"group_id": "data_storage", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "easy", "case_type": "direct_moderate", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 50 |
+
{"id": "sj-v002-ho-0050", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in event-driven architecture", "skill": "event-driven architecture", "group_id": "system_design", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0050-e1", "section": "summary", "source_type": "cv", "text": "Hardworking and motivated, eager to grow."}], "labels": {"group_id": "system_design", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "easy", "case_type": "vague_claim", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 51 |
+
{"id": "sj-v002-ho-0051", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Node.js", "skill": "Node.js", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0051-e1", "section": "experience", "source_type": "cv", "text": "As an associate engineer I supported colleagues who developed Express APIs and handled on-call issues, mostly pairing."}], "labels": {"group_id": "lang_core", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "easy", "case_type": "below_target", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 52 |
+
{"id": "sj-v002-ho-0052", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in TypeScript (frontend)", "skill": "TypeScript (frontend)", "group_id": "frontend", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0052-e1", "section": "summary", "source_type": "cv", "text": "Note: never worked with TypeScript (frontend)."}], "labels": {"group_id": "frontend", "evidence_label": "contradicted", "proficiency_label": "0"}, "meta": {"difficulty": "easy", "case_type": "explicit_none", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 53 |
+
{"id": "sj-v002-ho-0053", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in integration testing", "skill": "integration testing", "group_id": "testing_quality", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0053-e1", "section": "experience", "source_type": "cv", "text": "At a fintech scale-up I built Testcontainers-based integration test framework adopted by 10 teams; this became the reference design for other teams."}], "labels": {"group_id": "testing_quality", "evidence_label": "supported", "proficiency_label": "4"}, "meta": {"difficulty": "easy", "case_type": "direct_strong", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 54 |
+
{"id": "sj-v002-ho-0054", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in unit testing", "skill": "unit testing", "group_id": "testing_quality", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0054-e1", "section": "experience", "source_type": "cv", "text": "Over two years in production I wrote unit tests for all features without supervision."}], "labels": {"group_id": "testing_quality", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "easy", "case_type": "direct_moderate", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 55 |
+
{"id": "sj-v002-ho-0055", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in distributed consistency", "skill": "distributed consistency", "group_id": "system_design", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0055-e1", "section": "experience", "source_type": "cv", "text": "As an associate engineer I supported colleagues who handled retries and deduplication in distributed jobs, mostly pairing."}], "labels": {"group_id": "system_design", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "easy", "case_type": "below_target", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 56 |
+
{"id": "sj-v002-ho-0056", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in C#/.NET", "skill": "C#/.NET", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0056-e1", "section": "experience", "source_type": "cv", "text": "Over two years in production I maintained ASP.NET Core APIs without supervision."}], "labels": {"group_id": "lang_core", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "easy", "case_type": "direct_moderate", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 57 |
+
{"id": "sj-v002-ho-0057", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in GraphQL", "skill": "GraphQL", "group_id": "api_design", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0057-e1", "section": "interview", "source_type": "interview", "text": "Interviewer: asked about GraphQL; candidate said they have zero experience with it."}], "labels": {"group_id": "api_design", "evidence_label": "contradicted", "proficiency_label": "0"}, "meta": {"difficulty": "easy", "case_type": "verified_none", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 58 |
+
{"id": "sj-v002-ho-0058", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in scalable system design", "skill": "scalable system design", "group_id": "system_design", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0058-e1", "section": "experience", "source_type": "cv", "text": "At a fintech scale-up I designed a multi-region system for 20M users with explicit consistency trade-offs; this became the reference design for other teams."}], "labels": {"group_id": "system_design", "evidence_label": "supported", "proficiency_label": "4"}, "meta": {"difficulty": "easy", "case_type": "direct_strong", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 59 |
+
{"id": "sj-v002-ho-0059", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in REST API design", "skill": "REST API design", "group_id": "api_design", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0059-e1", "section": "experience", "source_type": "cv", "text": "CV says: designed a versioned public REST API (OpenAPI) for 40+ partners with idempotency keys."}, {"evidence_id": "sj-v002-ho-0059-e2", "section": "interview", "source_type": "interview", "text": "Interview check on REST API design failed; candidate admitted only minor involvement."}], "labels": {"group_id": "api_design", "evidence_label": "contradicted", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "cv_vs_interview", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 60 |
+
{"id": "sj-v002-ho-0060", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Elasticsearch", "skill": "Elasticsearch", "group_id": "data_storage", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0060-e1", "section": "skills_list", "source_type": "cv", "text": "Tech stack: Elasticsearch | Slack | Confluence | Linux"}], "labels": {"group_id": "data_storage", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "keyword_only", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 61 |
+
{"id": "sj-v002-ho-0061", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Java", "skill": "Java", "group_id": "lang_core", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0061-e1", "section": "experience", "source_type": "cv", "text": "At a fintech scale-up I designed a Java/Spring settlement engine processing $2B/yr and cut GC pauses 80%; this became the reference design for other teams."}], "labels": {"group_id": "lang_core", "evidence_label": "supported", "proficiency_label": "4"}, "meta": {"difficulty": "easy", "case_type": "direct_strong", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 62 |
+
{"id": "sj-v002-ho-0062", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Rust", "skill": "Rust", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0062-e1", "section": "summary", "source_type": "cv", "text": "Senior iOS engineer (Swift) shipping consumer apps for 6 years. Interests: hiking, chess."}], "labels": {"group_id": "lang_core", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "missing_skill", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 63 |
+
{"id": "sj-v002-ho-0063", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in TypeScript (frontend)", "skill": "TypeScript (frontend)", "group_id": "frontend", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0063-e1", "section": "summary", "source_type": "cv", "text": "Backend engineer, Go and PostgreSQL, 7 years. Interests: hiking, chess."}], "labels": {"group_id": "frontend", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "missing_skill", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 64 |
+
{"id": "sj-v002-ho-0064", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in incident response", "skill": "incident response", "group_id": "reliability_obs", "target_level": 4, "importance": "must"}, "evidence": [], "labels": {"group_id": "reliability_obs", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "easy", "case_type": "no_evidence", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 65 |
+
{"id": "sj-v002-ho-0065", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in mentoring", "skill": "mentoring", "group_id": "leadership", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0065-e1", "section": "summary", "source_type": "cv", "text": "Hardworking and motivated, eager to grow."}], "labels": {"group_id": "leadership", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "easy", "case_type": "vague_claim", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 66 |
+
{"id": "sj-v002-ho-0066", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in React", "skill": "React", "group_id": "frontend", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0066-e1", "section": "experience", "source_type": "cv", "text": "Org-wide owner of React: architected React micro-frontend platform for 6 teams; maintainer of a widely used open-source React library."}], "labels": {"group_id": "frontend", "evidence_label": "supported", "proficiency_label": "5"}, "meta": {"difficulty": "easy", "case_type": "expert", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 67 |
+
{"id": "sj-v002-ho-0067", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in microservices", "skill": "microservices", "group_id": "system_design", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0067-e1", "section": "interview", "source_type": "interview", "text": "Interviewer: asked about microservices; candidate said they have zero experience with it."}], "labels": {"group_id": "system_design", "evidence_label": "contradicted", "proficiency_label": "0"}, "meta": {"difficulty": "easy", "case_type": "verified_none", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 68 |
+
{"id": "sj-v002-ho-0068", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Terraform", "skill": "Terraform", "group_id": "cloud_devops", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0068-e1", "section": "experience", "source_type": "cv", "text": "At a fintech scale-up I authored reusable Terraform modules used by 15 teams; this became the reference design for other teams."}], "labels": {"group_id": "cloud_devops", "evidence_label": "supported", "proficiency_label": "4"}, "meta": {"difficulty": "easy", "case_type": "direct_strong", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 69 |
+
{"id": "sj-v002-ho-0069", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in API versioning", "skill": "API versioning", "group_id": "api_design", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0069-e1", "section": "skills_list", "source_type": "cv", "text": "Tech stack: API versioning | Slack | Confluence | Linux"}], "labels": {"group_id": "api_design", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "keyword_only", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 70 |
+
{"id": "sj-v002-ho-0070", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Demonstrated expertise in Terraform", "skill": "Terraform", "group_id": "cloud_devops", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v002-ho-0070-e1", "section": "summary", "source_type": "cv", "text": "Backend engineer building Java services deployed by a separate ops team to VMs. Interests: hiking, chess."}], "labels": {"group_id": "cloud_devops", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "missing_skill", "source": "synthetic_v002", "split": "heldout_locked", "label_status": "synthetic_needs_review"}}
|
| 71 |
+
{"id": "sj-v003-rho-0001", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Strong Redis skills", "skill": "Redis", "group_id": "data_storage", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0001-e1", "section": "cv_excerpt", "source_type": "cv", "text": "MI1 • Front-end developer - 10 months Developed an adaptive and responsive app from scratch that enables users to book parking spots for events. Developed pages and reusable components used best practice in Next.js and SCSS, described it in the Storybook and covered them with Unit tests."}], "labels": {"group_id": "data_storage", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_missing_skill", "source": "djinni_cv_en", "source_record": "597d753d-d1cc-5305-85a8-169e2b352f76", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 72 |
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{"id": "sj-v003-rho-0002", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Strong code review skills", "skill": "code review", "group_id": "testing_quality", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0002-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Designed scalable data processing solutions capable of accommodating exponential data growth. Collected TBs of data from different sources. In my current projects, I have processed substantial amounts of data, reaching hundreds of gigabytes."}], "labels": {"group_id": "testing_quality", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_missing_skill", "source": "djinni_cv_en", "source_record": "7bc0a3f9-9b4c-51ac-a156-37f1622c2aea", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 73 |
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{"id": "sj-v003-rho-0003", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Python experience", "skill": "Python", "group_id": "lang_core", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0003-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Designed and implemented different projects using following technologies: C++, C, Python, C#;"}], "labels": {"group_id": "lang_core", "evidence_label": "partial", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_hands_on", "source": "djinni_cv_en", "source_record": "b1994fd0-8bf6-5dc8-8e60-81b57fdadf58", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 74 |
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{"id": "sj-v003-rho-0004", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Strong Java skills", "skill": "Java", "group_id": "lang_core", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0004-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Over 5 years experience as a Java Developer in OOD, testing, and support of Enterprise applications using Spring framework."}], "labels": {"group_id": "lang_core", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "hard", "case_type": "real_years_hands_on", "source": "djinni_cv_en", "source_record": "4d500bb2-2ab3-5e77-be75-249ca78b9ce9", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
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| 75 |
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{"id": "sj-v003-rho-0005", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Proven Java in production", "skill": "Java", "group_id": "lang_core", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0005-e1", "section": "cv_excerpt", "source_type": "cv", "text": "I did a mentorship program in Java programming for Baku Higher School's students under the Programming Club at BHOS for a year."}], "labels": {"group_id": "lang_core", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "real_learning", "source": "djinni_cv_en", "source_record": "a00292d1-e827-5b49-9856-0c46ffcf3d9e", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 76 |
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{"id": "sj-v003-rho-0006", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Proven C#/.NET in production", "skill": "C#/.NET", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0006-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Worked on 3D VR Room Staging project (C# Unity), which"}], "labels": {"group_id": "lang_core", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "real_hands_on", "source": "djinni_cv_en", "source_record": "ab3d80cd-4725-5d54-b83d-54e8f0721397", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 77 |
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{"id": "sj-v003-rho-0007", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Proven Docker in production", "skill": "Docker", "group_id": "cloud_devops", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0007-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Know DevOps and networking basics, have experience in working with Linux, Docker, Docker-Compose, MySql, Terraform, Jenkins and GitHub actions, have basic understanding of Ansible, AWS and Prometheus."}], "labels": {"group_id": "cloud_devops", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "real_learning", "source": "djinni_cv_en", "source_record": "b67db308-c0a9-5fad-91b2-1a9c4a8aaa7d", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 78 |
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{"id": "sj-v003-rho-0008", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Strong C#/.NET skills", "skill": "C#/.NET", "group_id": "lang_core", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0008-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Ending .NET/C# courses with diploma."}], "labels": {"group_id": "lang_core", "evidence_label": "partial", "proficiency_label": "1"}, "meta": {"difficulty": "hard", "case_type": "real_learning", "source": "djinni_cv_en", "source_record": "3eff9042-f57d-5500-994b-1aec2df7ef12", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 79 |
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{"id": "sj-v003-rho-0009", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "MongoDB experience", "skill": "MongoDB", "group_id": "data_storage", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0009-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Experience with creating the architecture of a complicated information system processing real-time financial data, and its development as a product owner I have an experience of 16 years in finance and software development for financial markets, developed financial software in person and in a professional team as a product owner. As a project manager, I was in charge of cooperation with US vendors, worked on the improvement of business processes, participated in hiring"}], "labels": {"group_id": "data_storage", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_missing_skill", "source": "djinni_cv_en", "source_record": "d8b50ce6-c9a1-5e47-baf7-fe817dae134b", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 80 |
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{"id": "sj-v003-rho-0010", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Proven CI/CD in production", "skill": "CI/CD", "group_id": "cloud_devops", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0010-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Successfully reduced deployment time for a critical project by 50% through optimizing Dockerfile configuration and improving the efficiency of the CI/CD pipeline"}], "labels": {"group_id": "cloud_devops", "evidence_label": "supported", "proficiency_label": "3"}, "meta": {"difficulty": "hard", "case_type": "real_strong_ownership", "source": "djinni_cv_en", "source_record": "60fda6ce-919c-5b60-a149-57cc2507bed9", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 81 |
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{"id": "sj-v003-rho-0011", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Proven MySQL in production", "skill": "MySQL", "group_id": "data_storage", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0011-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Becoming a fully qualified accountant under the ACCA in London, United Kingdom. For ten years, I worked in London as a qualified accountant in audit and financial services for companies such as Ernst and Young, PriceWaterhouseCoopers, Lloyds Bank and NatWest bank. This meant I constantly had to communicate with Chief Executive Officers, Financial Directors, Partners and managers of all levels constantly."}], "labels": {"group_id": "data_storage", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_missing_skill", "source": "djinni_cv_en", "source_record": "f42166af-4ea8-5135-af9a-44f4c5f2ba9a", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 82 |
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{"id": "sj-v003-rho-0012", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Strong mentoring skills", "skill": "mentoring", "group_id": "leadership", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0012-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Mentored 2 sales managers in our team and improved their productivity by 40%."}], "labels": {"group_id": "leadership", "evidence_label": "partial", "proficiency_label": "2"}, "meta": {"difficulty": "hard", "case_type": "real_strong_ownership", "source": "djinni_cv_en", "source_record": "2249947c-4ccf-56f0-a02f-c5086ad9c631", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 83 |
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{"id": "sj-v003-rho-0013", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Proven unit testing in production", "skill": "unit testing", "group_id": "testing_quality", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0013-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Actively learning and deepening my knowledge in the field of frontend development. Striving to constantly improve my skills and apply them in practical tasks. Ready for new challenges and growth as a professional in this field."}], "labels": {"group_id": "testing_quality", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_missing_skill", "source": "djinni_cv_en", "source_record": "8e593091-c893-5d1a-b4fe-50ed52921933", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 84 |
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{"id": "sj-v003-rho-0014", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Proven Python in production", "skill": "Python", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0014-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Languages: JavaScript, HTML, CSS, Python, SQL"}], "labels": {"group_id": "lang_core", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_keyword_list", "source": "djinni_cv_en", "source_record": "b92d0d33-a2dd-576a-b2ad-d047a7aa86fe", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
|
| 85 |
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{"id": "sj-v003-rho-0015", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Python experience", "skill": "Python", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0015-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Technology: AWS PaaS, AWS Glue, AWS RDS, Spark, Python"}], "labels": {"group_id": "lang_core", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_keyword_list", "source": "djinni_cv_en", "source_record": "6db1f1f7-4dd8-55fa-804e-acf8eab8af95", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
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| 86 |
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{"id": "sj-v003-rho-0016", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Proven React in production", "skill": "React", "group_id": "frontend", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0016-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Identification and fraud prevention through internet channel; Ensuring online customer registration, orders and account updates are processed in timely manner before the cut-off time to secure smooth and timely delivery of the orders. work on implementation of Business Order Administration objectives, in line with NBS strategy"}], "labels": {"group_id": "frontend", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_missing_skill", "source": "djinni_cv_en", "source_record": "6de2fa08-144f-5b71-97f1-5fde1cb3b358", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
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| 87 |
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{"id": "sj-v003-rho-0017", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Proven Kubernetes in production", "skill": "Kubernetes", "group_id": "cloud_devops", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0017-e1", "section": "cv_excerpt", "source_type": "cv", "text": "The introduction of the mechanism reduced the company's losses from credit card fraud by ~ 75% Holding the position of affiliate manager and efficiently worked with a team of developers and testers to localize and adapt the website to Polish and Swedish. Successfully gained new customers and established strong relationships with several foreign partners after the introduction of the localized websites."}], "labels": {"group_id": "cloud_devops", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_missing_skill", "source": "djinni_cv_en", "source_record": "5f9ed516-05ea-56fa-871f-6a7d0486474d", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
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{"id": "sj-v003-rho-0018", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Strong Python skills", "skill": "Python", "group_id": "lang_core", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0018-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Covered basic data types including arrays, conditional statements and loops on Python."}], "labels": {"group_id": "lang_core", "evidence_label": "partial", "proficiency_label": "1"}, "meta": {"difficulty": "hard", "case_type": "real_learning", "source": "djinni_cv_en", "source_record": "2d165f4d-3eea-577b-992c-1b43fa30a5f4", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
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{"id": "sj-v003-rho-0019", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Proven React in production", "skill": "React", "group_id": "frontend", "target_level": 4, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0019-e1", "section": "cv_excerpt", "source_type": "cv", "text": "I see self-development in learning Vue/Angular/React Native if they would be on your projects."}], "labels": {"group_id": "frontend", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_learning", "source": "djinni_cv_en", "source_record": "2de76d2d-16d0-5cfb-8279-51b966729db6", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
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{"id": "sj-v003-rho-0020", "schema_version": "0.1", "taxonomy_version": "0.1", "requirement": {"text": "Strong Node.js skills", "skill": "Node.js", "group_id": "lang_core", "target_level": 3, "importance": "must"}, "evidence": [{"evidence_id": "sj-v003-rho-0020-e1", "section": "cv_excerpt", "source_type": "cv", "text": "Technologies: Dart, Flutter (iOS, Android), Swift, NodeJS, SQL, Oracle."}], "labels": {"group_id": "lang_core", "evidence_label": "insufficient", "proficiency_label": "unknown"}, "meta": {"difficulty": "hard", "case_type": "real_keyword_list", "source": "djinni_cv_en", "source_record": "08edb331-776c-5ca7-9bb9-a791e32e3408", "source_license": "MIT (lang-uk/recruitment-dataset-candidate-profiles-english)", "split": "heldout_locked", "label_status": "agent_reviewed_needs_expert_review"}}
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