| {"id": "9bff5c5f81bb", "prompt": "Write a YAML config for a Kubernetes Deployment of an nginx container with 3 replicas, a CPU request of 100m and limit of 500m, memory request of 128Mi and limit of 256Mi, and a readiness probe on port 80 path /healthz.", "format": "yaml", "schema_description": "Kubernetes Deployment with resource limits and readiness probe", "completion": "apiVersion: apps/v1\nkind: Deployment\nmetadata:\n name: nginx-deployment\nspec:\n replicas: 3\n selector:\n matchLabels:\n app: nginx\n template:\n metadata:\n labels:\n app: nginx\n spec:\n containers:\n - name: nginx\n image: nginx:1.27\n resources:\n requests:\n cpu: \"100m\"\n memory: \"128Mi\"\n limits:\n cpu: \"500m\"\n memory: \"256Mi\"\n readinessProbe:\n httpGet:\n path: /healthz\n port: 80\n initialDelaySeconds: 5\n periodSeconds: 10", "domain": "software", "difficulty": "hard", "num_fields": 6} |
| {"id": "e1abcbd31005", "prompt": "Return a CSV table of 5 employees with columns: employee_id, first_name, last_name, department, title, salary_usd, hire_date.", "format": "csv", "schema_description": "Employee table, 5 rows", "completion": "employee_id,first_name,last_name,department,title,salary_usd,hire_date\nEMP-001,Alice,Tran,Engineering,Senior Software Engineer,125000,2021-03-15\nEMP-002,David,Okoye,Marketing,Marketing Manager,95000,2019-07-22\nEMP-003,Sofia,Müller,Finance,Financial Analyst,88000,2022-01-10\nEMP-004,James,Park,Engineering,DevOps Engineer,112000,2020-09-01\nEMP-005,Priya,Sharma,HR,HR Business Partner,82000,2023-04-18", "domain": "hr", "difficulty": "easy", "num_fields": 7} |
| {"id": "197d6ba85167", "prompt": "Produce a Markdown table of Git commands. Columns: Command, Category, Description. Include at least 10 commands spanning init/clone, branching, staging, committing, remote, and history.", "format": "markdown_table", "schema_description": "Git command reference, 10+ rows", "completion": "| Command | Category | Description |\n|---|---|---|\n| `git init` | Setup | Initialize a new local repository |\n| `git clone <url>` | Setup | Clone a remote repository locally |\n| `git branch <name>` | Branching | Create a new branch |\n| `git checkout -b <name>` | Branching | Create and switch to a new branch |\n| `git merge <branch>` | Branching | Merge a branch into the current branch |\n| `git add <file>` | Staging | Stage a file for the next commit |\n| `git add -p` | Staging | Interactively stage hunks |\n| `git commit -m \"msg\"` | Committing | Commit staged changes with a message |\n| `git push origin <branch>` | Remote | Push branch to remote |\n| `git pull --rebase` | Remote | Fetch and rebase onto remote changes |\n| `git log --oneline --graph` | History | Show compact branching history |\n| `git diff HEAD~1` | History | Show diff against previous commit |", "domain": "software", "difficulty": "medium", "num_fields": 3} |
| {"id": "0ce6bb5cf191", "prompt": "Produce an XML configuration for a Maven project (pom.xml). Include: groupId, artifactId, version, packaging, a Java 17 compiler plugin, and two dependencies: spring-boot-starter-web and spring-boot-starter-test.", "format": "xml", "schema_description": "Maven pom.xml with dependencies and plugin", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<project xmlns=\"http://maven.apache.org/POM/4.0.0\"\n xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\"\n xsi:schemaLocation=\"http://maven.apache.org/POM/4.0.0\n http://maven.apache.org/xsd/maven-4.0.0.xsd\">\n <modelVersion>4.0.0</modelVersion>\n <groupId>com.example</groupId>\n <artifactId>my-app</artifactId>\n <version>1.0.0</version>\n <packaging>jar</packaging>\n\n <dependencies>\n <dependency>\n <groupId>org.springframework.boot</groupId>\n <artifactId>spring-boot-starter-web</artifactId>\n <version>3.2.0</version>\n </dependency>\n <dependency>\n <groupId>org.springframework.boot</groupId>\n <artifactId>spring-boot-starter-test</artifactId>\n <version>3.2.0</version>\n <scope>test</scope>\n </dependency>\n </dependencies>\n\n <build>\n <plugins>\n <plugin>\n <groupId>org.apache.maven.plugins</groupId>\n <artifactId>maven-compiler-plugin</artifactId>\n <version>3.11.0</version>\n <configuration>\n <source>17</source>\n <target>17</target>\n </configuration>\n </plugin>\n </plugins>\n </build>\n</project>", "domain": "software", "difficulty": "hard", "num_fields": 5} |
| {"id": "9f4eaa62944c", "prompt": "Return a JSON object for a fitness workout session. Include: session_id, user_id, date, workout_type, duration_min, calories_burned, heart_rate_avg_bpm, heart_rate_max_bpm, exercises (array of objects with name, sets, reps, weight_kg — use null for cardio), and notes.", "format": "json", "schema_description": "Fitness workout session log", "completion": "{\n \"session_id\": \"WRK-20241101-2241\",\n \"user_id\": \"usr_f8a2c341\",\n \"date\": \"2024-11-01\",\n \"workout_type\": \"strength_training\",\n \"duration_min\": 55,\n \"calories_burned\": 410,\n \"heart_rate_avg_bpm\": 138,\n \"heart_rate_max_bpm\": 172,\n \"exercises\": [\n {\"name\": \"Barbell Squat\", \"sets\": 4, \"reps\": 6, \"weight_kg\": 100},\n {\"name\": \"Romanian Deadlift\", \"sets\": 3, \"reps\": 8, \"weight_kg\": 80},\n {\"name\": \"Bench Press\", \"sets\": 4, \"reps\": 6, \"weight_kg\": 85},\n {\"name\": \"Pull-ups\", \"sets\": 3, \"reps\": 10, \"weight_kg\": null},\n {\"name\": \"Overhead Press\", \"sets\": 3, \"reps\": 8, \"weight_kg\": 52.5}\n ],\n \"notes\": \"All lifts felt strong. Increased squat weight by 5kg from last session.\"\n}", "domain": "health", "difficulty": "hard", "num_fields": 9} |
| {"id": "00cac3b4045d", "prompt": "Produce a CSV of 4 software products with columns: product_id, name, category, price_usd, rating_out_of_5, reviews_count, available.", "format": "csv", "schema_description": "Software product listing, 4 rows", "completion": "product_id,name,category,price_usd,rating_out_of_5,reviews_count,available\nPROD-101,DataSync Pro,Data Integration,299.00,4.7,1842,true\nPROD-102,SecureVault,Security,149.00,4.5,903,true\nPROD-103,ReportBuilder,Analytics,199.00,4.2,451,false\nPROD-104,CloudBackup X,Storage,79.00,4.8,3204,true", "domain": "ecommerce", "difficulty": "easy", "num_fields": 7} |
| {"id": "b47d7ed18538", "prompt": "Generate a JSON configuration for a Postgres database connection pool. Include: host, port, database, user, password (masked), ssl_mode, pool_min_size, pool_max_size, connection_timeout_ms, and idle_timeout_ms.", "format": "json", "schema_description": "Database connection pool config", "completion": "{\n \"host\": \"db.internal.example.com\",\n \"port\": 5432,\n \"database\": \"orders_prod\",\n \"user\": \"svc_orders\",\n \"password\": \"***\",\n \"ssl_mode\": \"require\",\n \"pool_min_size\": 5,\n \"pool_max_size\": 20,\n \"connection_timeout_ms\": 3000,\n \"idle_timeout_ms\": 60000\n}", "domain": "software", "difficulty": "medium", "num_fields": 10} |
| {"id": "96dcd4074dc2", "prompt": "Generate a JSON response for a geolocation API. Include: ip, city, region, country_name, country_code, latitude, longitude, timezone, isp, and is_vpn.", "format": "json", "schema_description": "IP geolocation API response", "completion": "{\n \"ip\": \"85.214.132.117\",\n \"city\": \"Berlin\",\n \"region\": \"Berlin\",\n \"country_name\": \"Germany\",\n \"country_code\": \"DE\",\n \"latitude\": 52.5200,\n \"longitude\": 13.4050,\n \"timezone\": \"Europe/Berlin\",\n \"isp\": \"Hetzner Online GmbH\",\n \"is_vpn\": false\n}", "domain": "software", "difficulty": "easy", "num_fields": 10} |
| {"id": "0dca6506b5e8", "prompt": "Generate a JSON object for a student grade record. Include: student_id, name, course_code, grade_letter, grade_points (GPA scale), semester, and year.", "format": "json", "schema_description": "Student grade record", "completion": "{\n \"student_id\": \"STU-204517\",\n \"name\": \"Amara Osei\",\n \"course_code\": \"CS301\",\n \"grade_letter\": \"A-\",\n \"grade_points\": 3.7,\n \"semester\": \"Fall\",\n \"year\": 2024\n}", "domain": "education", "difficulty": "easy", "num_fields": 7} |
| {"id": "1b2bcfee5731", "prompt": "Produce a YAML configuration for a multi-environment deploy pipeline. Define three environments: development, staging, production. Each should have: cluster, namespace, image_tag_strategy (latest/semver/sha), autoscaling (min_replicas, max_replicas), and requires_approval (boolean).", "format": "yaml", "schema_description": "Multi-environment deploy config", "completion": "environments:\n development:\n cluster: dev-cluster\n namespace: dev\n image_tag_strategy: latest\n autoscaling:\n min_replicas: 1\n max_replicas: 2\n requires_approval: false\n\n staging:\n cluster: staging-cluster\n namespace: staging\n image_tag_strategy: sha\n autoscaling:\n min_replicas: 2\n max_replicas: 4\n requires_approval: false\n\n production:\n cluster: prod-cluster\n namespace: production\n image_tag_strategy: semver\n autoscaling:\n min_replicas: 4\n max_replicas: 20\n requires_approval: true", "domain": "software", "difficulty": "medium", "num_fields": 5} |
| {"id": "f5de677f749d", "prompt": "Create a JSON object for a social media post. Include: post_id, author (object with user_id and handle), content, created_at, likes_count, repost_count, reply_count, hashtags (array), and media_attachments (array of objects with type and url).", "format": "json", "schema_description": "Social media post with nested author and media", "completion": "{\n \"post_id\": \"post_93f2a8d1\",\n \"author\": {\n \"user_id\": \"usr_44812\",\n \"handle\": \"@tech_writer_kai\"\n },\n \"content\": \"Just published a deep-dive into vector databases and semantic search. Link in bio! 🔍\",\n \"created_at\": \"2024-11-01T16:05:00Z\",\n \"likes_count\": 284,\n \"repost_count\": 61,\n \"reply_count\": 33,\n \"hashtags\": [\"vectordb\", \"semanticsearch\", \"ai\", \"machinelearning\"],\n \"media_attachments\": [\n {\n \"type\": \"image\",\n \"url\": \"https://cdn.example.com/posts/post_93f2a8d1/cover.png\"\n }\n ]\n}", "domain": "social", "difficulty": "hard", "num_fields": 9} |
| {"id": "916ecb95425f", "prompt": "Return JSON for a weather observation. Include: station_id, location (city and country), observed_at (ISO 8601), temperature_c, humidity_pct, wind_speed_kmh, and condition.", "format": "json", "schema_description": "Weather observation object with nested location", "completion": "{\n \"station_id\": \"WS-EU-4421\",\n \"location\": {\n \"city\": \"Amsterdam\",\n \"country\": \"Netherlands\"\n },\n \"observed_at\": \"2024-11-01T12:00:00Z\",\n \"temperature_c\": 9.4,\n \"humidity_pct\": 78,\n \"wind_speed_kmh\": 22.5,\n \"condition\": \"Partly Cloudy\"\n}", "domain": "iot", "difficulty": "medium", "num_fields": 7} |
| {"id": "846d0db654c1", "prompt": "Write an XML SVG element representing a simple bar chart with 3 bars for values 40, 70, and 55. Include a viewBox, rect elements for the bars, and text labels below each bar.", "format": "xml", "schema_description": "SVG bar chart markup", "completion": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 200 120\">\n <!-- Bars -->\n <rect x=\"20\" y=\"60\" width=\"40\" height=\"40\" fill=\"#4A90D9\"/>\n <rect x=\"80\" y=\"20\" width=\"40\" height=\"80\" fill=\"#4A90D9\"/>\n <rect x=\"140\" y=\"45\" width=\"40\" height=\"55\" fill=\"#4A90D9\"/>\n\n <!-- Labels -->\n <text x=\"40\" y=\"115\" text-anchor=\"middle\" font-size=\"10\" fill=\"#333\">Cat A</text>\n <text x=\"100\" y=\"115\" text-anchor=\"middle\" font-size=\"10\" fill=\"#333\">Cat B</text>\n <text x=\"160\" y=\"115\" text-anchor=\"middle\" font-size=\"10\" fill=\"#333\">Cat C</text>\n\n <!-- Values -->\n <text x=\"40\" y=\"56\" text-anchor=\"middle\" font-size=\"9\" fill=\"#555\">40</text>\n <text x=\"100\" y=\"16\" text-anchor=\"middle\" font-size=\"9\" fill=\"#555\">70</text>\n <text x=\"160\" y=\"41\" text-anchor=\"middle\" font-size=\"9\" fill=\"#555\">55</text>\n</svg>", "domain": "software", "difficulty": "medium", "num_fields": 4} |
| {"id": "09163478a46e", "prompt": "Return a CSV of 4 IoT sensor readings from a smart factory floor. Columns: sensor_id, sensor_type, machine_id, timestamp, value, unit, threshold, alert.", "format": "csv", "schema_description": "IoT factory sensor readings, 4 rows", "completion": "sensor_id,sensor_type,machine_id,timestamp,value,unit,threshold,alert\nSNS-A01,temperature,MCH-001,2024-11-01T08:00:00Z,72.4,celsius,80,false\nSNS-A02,vibration,MCH-001,2024-11-01T08:00:00Z,4.8,mm/s,5.0,false\nSNS-B01,pressure,MCH-002,2024-11-01T08:00:00Z,112.3,psi,100,true\nSNS-C01,humidity,MCH-003,2024-11-01T08:00:00Z,68.1,percent,70,false", "domain": "iot", "difficulty": "medium", "num_fields": 8} |
| {"id": "3bd243f96149", "prompt": "Return JSON for a flight search result. Include: search_id, origin_iata, destination_iata, outbound_date, results (array of 3 flight options each with: flight_number, airline, departure_time, arrival_time, duration_min, stops, price_usd, cabin_class, seats_left).", "format": "json", "schema_description": "Flight search results with 3 options", "completion": "{\n \"search_id\": \"FLT-SEARCH-9921\",\n \"origin_iata\": \"JFK\",\n \"destination_iata\": \"LHR\",\n \"outbound_date\": \"2024-12-05\",\n \"results\": [\n {\n \"flight_number\": \"BA 178\",\n \"airline\": \"British Airways\",\n \"departure_time\": \"2024-12-05T22:15:00\",\n \"arrival_time\": \"2024-12-06T10:05:00\",\n \"duration_min\": 410,\n \"stops\": 0,\n \"price_usd\": 642.00,\n \"cabin_class\": \"economy\",\n \"seats_left\": 9\n },\n {\n \"flight_number\": \"AA 100\",\n \"airline\": \"American Airlines\",\n \"departure_time\": \"2024-12-05T19:00:00\",\n \"arrival_time\": \"2024-12-06T08:55:00\",\n \"duration_min\": 415,\n \"stops\": 0,\n \"price_usd\": 598.00,\n \"cabin_class\": \"economy\",\n \"seats_left\": 4\n },\n {\n \"flight_number\": \"VS 004\",\n \"airline\": \"Virgin Atlantic\",\n \"departure_time\": \"2024-12-05T21:30:00\",\n \"arrival_time\": \"2024-12-06T10:30:00\",\n \"duration_min\": 420,\n \"stops\": 0,\n \"price_usd\": 571.00,\n \"cabin_class\": \"economy\",\n \"seats_left\": 2\n }\n ]\n}", "domain": "logistics", "difficulty": "hard", "num_fields": 9} |
| {"id": "aa9964258ea8", "prompt": "Generate a Markdown table for a weekly employee schedule. Columns: Employee, Monday, Tuesday, Wednesday, Thursday, Friday. Include 5 employees with shifts like '09:00-17:00', 'Remote', 'Off', or 'Half-day'.", "format": "markdown_table", "schema_description": "Weekly work schedule for 5 employees", "completion": "| Employee | Monday | Tuesday | Wednesday | Thursday | Friday |\n|---|---|---|---|---|---|\n| Alice Tran | 09:00–17:00 | 09:00–17:00 | Remote | 09:00–17:00 | Half-day |\n| Bob Nkosi | Remote | 09:00–17:00 | 09:00–17:00 | Off | 09:00–17:00 |\n| Carmen López | 09:00–17:00 | Off | 09:00–17:00 | Remote | 09:00–17:00 |\n| David Park | Half-day | 09:00–17:00 | Remote | 09:00–17:00 | Remote |\n| Erin Walsh | 09:00–17:00 | Remote | 09:00–17:00 | 09:00–17:00 | Off |", "domain": "hr", "difficulty": "easy", "num_fields": 6} |
| {"id": "f29bc622602c", "prompt": "Produce a Markdown table of HTTP status codes. Include: code, name, category, and a brief description. Cover 200, 201, 301, 400, 401, 403, 404, 409, 422, 429, 500, 503.", "format": "markdown_table", "schema_description": "HTTP status code reference table, 12 rows", "completion": "| Code | Name | Category | Description |\n|---|---|---|---|\n| 200 | OK | 2xx Success | Request succeeded |\n| 201 | Created | 2xx Success | Resource created successfully |\n| 301 | Moved Permanently | 3xx Redirection | Resource has a new permanent URL |\n| 400 | Bad Request | 4xx Client Error | Malformed request syntax |\n| 401 | Unauthorized | 4xx Client Error | Authentication required |\n| 403 | Forbidden | 4xx Client Error | Authenticated but not authorized |\n| 404 | Not Found | 4xx Client Error | Resource does not exist |\n| 409 | Conflict | 4xx Client Error | Request conflicts with current state |\n| 422 | Unprocessable Entity | 4xx Client Error | Semantically invalid request |\n| 429 | Too Many Requests | 4xx Client Error | Rate limit exceeded |\n| 500 | Internal Server Error | 5xx Server Error | Unexpected server failure |\n| 503 | Service Unavailable | 5xx Server Error | Server temporarily unavailable |", "domain": "software", "difficulty": "easy", "num_fields": 4} |
| {"id": "7a3084992e7a", "prompt": "Produce a Markdown changelog table for a software library v2.4.0 release. Columns: Type (Added/Changed/Fixed/Deprecated), Component, Description. Include at least 8 rows.", "format": "markdown_table", "schema_description": "Software changelog for v2.4.0", "completion": "| Type | Component | Description |\n|---|---|---|\n| Added | Auth | Support for PKCE flow in OAuth2 client |\n| Added | API Client | Retry middleware with exponential backoff |\n| Added | Logging | Structured JSON log output via `log_format=json` option |\n| Changed | HTTP | Default request timeout increased from 5s to 30s |\n| Changed | Config | `DB_URL` env var renamed to `DATABASE_URL` (old name still accepted with deprecation warning) |\n| Fixed | Auth | Token refresh no longer triggers on 404 responses |\n| Fixed | Pagination | Off-by-one error in cursor-based pagination for last page |\n| Fixed | Serializer | Datetime fields now correctly serialize to ISO 8601 with timezone offset |\n| Deprecated | HTTP | `use_legacy_transport` flag; will be removed in v3.0.0 |", "domain": "software", "difficulty": "hard", "num_fields": 3} |
| {"id": "39cc0715f21e", "prompt": "Write a YAML representation of a podcast episode. Include: episode_id, podcast_name, episode_title, episode_number, season, host, guests (list with name and bio_url), published_date, duration_min, topics (list), and audio_url.", "format": "yaml", "schema_description": "Podcast episode metadata", "completion": "episode_id: \"EP-S04E12\"\npodcast_name: \"The AI Practitioner\"\nepisode_title: \"Fine-Tuning LLMs on a Budget: What Actually Works\"\nepisode_number: 12\nseason: 4\nhost: \"Naomi Adeyemi\"\nguests:\n - name: \"Dr. Liang Wu\"\n bio_url: \"https://ailab.example.edu/people/liang-wu\"\n - name: \"Marco Ferretti\"\n bio_url: \"https://marcoferretti.dev\"\npublished_date: 2024-11-01\nduration_min: 58\ntopics:\n - LoRA and QLoRA\n - instruction tuning\n - dataset curation\n - evaluation benchmarks\naudio_url: \"https://cdn.podcast.example.com/s04e12.mp3\"", "domain": "media", "difficulty": "medium", "num_fields": 10} |
| {"id": "00e45375c17e", "prompt": "Generate a JSON object representing a product in an e-commerce catalog. Include: product_id, name, price_usd, currency, in_stock, and a list of tags.", "format": "json", "schema_description": "Product catalog item with tags array", "completion": "{\n \"product_id\": \"SKU-7821\",\n \"name\": \"Wireless Noise-Cancelling Headphones\",\n \"price_usd\": 149.99,\n \"currency\": \"USD\",\n \"in_stock\": true,\n \"tags\": [\"electronics\", \"audio\", \"wireless\", \"noise-cancelling\"]\n}", "domain": "ecommerce", "difficulty": "easy", "num_fields": 6} |
| {"id": "0b8f78d3ec02", "prompt": "Create a JSON Web Token (JWT) payload (the claims object, not the encoded string) for a user session. Include: iss, sub, aud, iat, exp, jti, and custom claims: roles (array) and org_id.", "format": "json", "schema_description": "JWT claims payload object", "completion": "{\n \"iss\": \"https://auth.example.com\",\n \"sub\": \"usr_f8a2c341\",\n \"aud\": \"https://api.example.com\",\n \"iat\": 1730462400,\n \"exp\": 1730466000,\n \"jti\": \"jwt_9d3b8c1e-f7a2-4e51-b901-2c8d3f9a0e4b\",\n \"roles\": [\"editor\", \"viewer\"],\n \"org_id\": \"org_88120\"\n}", "domain": "software", "difficulty": "medium", "num_fields": 8} |
| {"id": "27c429c5a358", "prompt": "Generate a YAML config for a Celery task queue. Include: broker_url, result_backend, task_serializer, result_serializer, timezone, task_routes (map 2 task names to queues), and beat_schedule (one daily task named 'generate-report' running at 06:00 UTC).", "format": "yaml", "schema_description": "Celery configuration with task routes and beat schedule", "completion": "broker_url: \"redis://redis:6379/0\"\nresult_backend: \"redis://redis:6379/1\"\ntask_serializer: json\nresult_serializer: json\ntimezone: UTC\n\ntask_routes:\n tasks.email.send_welcome: email_queue\n tasks.reports.generate: reports_queue\n\nbeat_schedule:\n generate-report:\n task: tasks.reports.generate\n schedule:\n type: crontab\n hour: 6\n minute: 0", "domain": "software", "difficulty": "hard", "num_fields": 7} |
| {"id": "a66201847efd", "prompt": "Return a JSON object for a user profile with fields: id, username, email, created_at, and is_active.", "format": "json", "schema_description": "User profile object with 5 fields", "completion": "{\n \"id\": 1042,\n \"username\": \"jsmith\",\n \"email\": \"jsmith@example.com\",\n \"created_at\": \"2024-03-15T08:30:00Z\",\n \"is_active\": true\n}", "domain": "software", "difficulty": "easy", "num_fields": 5} |
| {"id": "bb6c052b13ba", "prompt": "Create a JSON object representing a music track in a streaming platform. Include: track_id, title, artist (name and id), album (title and id), duration_ms, genre, release_date, explicit, play_count, and audio_features (tempo_bpm, key, energy 0-1, danceability 0-1).", "format": "json", "schema_description": "Music track with nested audio features", "completion": "{\n \"track_id\": \"TRK-9921847\",\n \"title\": \"Neon Cascade\",\n \"artist\": {\n \"name\": \"Solaris Wave\",\n \"id\": \"ART-44120\"\n },\n \"album\": {\n \"title\": \"Future Frequencies\",\n \"id\": \"ALB-7721\"\n },\n \"duration_ms\": 214800,\n \"genre\": \"synthwave\",\n \"release_date\": \"2024-09-15\",\n \"explicit\": false,\n \"play_count\": 482341,\n \"audio_features\": {\n \"tempo_bpm\": 128.0,\n \"key\": \"F# major\",\n \"energy\": 0.82,\n \"danceability\": 0.76\n }\n}", "domain": "media", "difficulty": "hard", "num_fields": 10} |
| {"id": "f05b9cbfe284", "prompt": "Generate a CSV of server monitoring metrics for 4 servers. Columns: server_id, hostname, cpu_usage_pct, memory_usage_pct, disk_usage_pct, network_in_mbps, network_out_mbps, alert_level (ok/warn/critical), sampled_at.", "format": "csv", "schema_description": "Server monitoring metrics, 4 rows", "completion": "server_id,hostname,cpu_usage_pct,memory_usage_pct,disk_usage_pct,network_in_mbps,network_out_mbps,alert_level,sampled_at\nSRV-01,web-prod-01,24.5,62.1,45.3,120.4,88.2,ok,2024-11-01T14:00:00Z\nSRV-02,web-prod-02,81.3,87.6,47.1,145.2,110.8,critical,2024-11-01T14:00:00Z\nSRV-03,db-primary,55.7,78.4,68.9,45.0,12.3,warn,2024-11-01T14:00:00Z\nSRV-04,cache-01,12.1,40.2,22.5,320.8,298.4,ok,2024-11-01T14:00:00Z", "domain": "software", "difficulty": "medium", "num_fields": 9} |
| {"id": "e409e57162fe", "prompt": "Create a JSON response for a REST API health check endpoint. Include service name, status (healthy/degraded/down), version, uptime_seconds, and timestamp.", "format": "json", "schema_description": "API health-check response", "completion": "{\n \"service\": \"payment-gateway\",\n \"status\": \"healthy\",\n \"version\": \"2.4.1\",\n \"uptime_seconds\": 863412,\n \"timestamp\": \"2024-11-01T14:22:05Z\"\n}", "domain": "software", "difficulty": "easy", "num_fields": 5} |
| {"id": "36e62bd530ff", "prompt": "Produce a JSON object for a bank transaction record. Fields: transaction_id, account_from, account_to, amount, currency, type (debit/credit/transfer), and timestamp.", "format": "json", "schema_description": "Bank transaction record", "completion": "{\n \"transaction_id\": \"TXN-20241101-998812\",\n \"account_from\": \"ACC-001-882234\",\n \"account_to\": \"ACC-002-117765\",\n \"amount\": 2500.00,\n \"currency\": \"USD\",\n \"type\": \"transfer\",\n \"timestamp\": \"2024-11-01T09:15:33Z\"\n}", "domain": "finance", "difficulty": "easy", "num_fields": 7} |
| {"id": "270d10f5f616", "prompt": "Write a Markdown table comparing four sorting algorithms: Bubble Sort, Merge Sort, Quick Sort, and Heap Sort. Columns: Algorithm, Best Case, Average Case, Worst Case, Space Complexity, Stable.", "format": "markdown_table", "schema_description": "Sorting algorithm complexity comparison", "completion": "| Algorithm | Best Case | Average Case | Worst Case | Space Complexity | Stable |\n|---|---|---|---|---|---|\n| Bubble Sort | O(n) | O(n²) | O(n²) | O(1) | Yes |\n| Merge Sort | O(n log n) | O(n log n) | O(n log n) | O(n) | Yes |\n| Quick Sort | O(n log n) | O(n log n) | O(n²) | O(log n) | No |\n| Heap Sort | O(n log n) | O(n log n) | O(n log n) | O(1) | No |", "domain": "education", "difficulty": "medium", "num_fields": 6} |
| {"id": "02f9aa08fb4d", "prompt": "Write a Markdown table comparing five SQL aggregate functions: COUNT, SUM, AVG, MIN, MAX. Columns: Function, Description, Ignores NULLs, Returns, Example.", "format": "markdown_table", "schema_description": "SQL aggregate functions reference table", "completion": "| Function | Description | Ignores NULLs | Returns | Example |\n|---|---|---|---|---|\n| `COUNT(*)` | Count all rows | No | Integer | `SELECT COUNT(*) FROM orders` |\n| `SUM(col)` | Sum of numeric column | Yes | Numeric | `SELECT SUM(amount) FROM sales` |\n| `AVG(col)` | Arithmetic mean | Yes | Numeric | `SELECT AVG(score) FROM results` |\n| `MIN(col)` | Smallest value | Yes | Same as column type | `SELECT MIN(price) FROM products` |\n| `MAX(col)` | Largest value | Yes | Same as column type | `SELECT MAX(salary) FROM employees` |", "domain": "software", "difficulty": "easy", "num_fields": 5} |
| {"id": "2aeacdddf114", "prompt": "Write an XML document for an IoT device heartbeat message. Include: device_id, device_type, firmware_version, timestamp, battery_level_pct, signal_strength_dbm, sensors (list of sensor elements with id and status), and location (lat, lon).", "format": "xml", "schema_description": "IoT device heartbeat XML message", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<heartbeat>\n <device_id>DEV-IOT-8812</device_id>\n <device_type>environmental_monitor</device_type>\n <firmware_version>3.2.1</firmware_version>\n <timestamp>2024-11-01T14:00:00Z</timestamp>\n <battery_level_pct>74</battery_level_pct>\n <signal_strength_dbm>-62</signal_strength_dbm>\n <sensors>\n <sensor id=\"temp-01\" status=\"ok\"/>\n <sensor id=\"humidity-01\" status=\"ok\"/>\n <sensor id=\"co2-01\" status=\"degraded\"/>\n </sensors>\n <location>\n <lat>51.5074</lat>\n <lon>-0.1278</lon>\n </location>\n</heartbeat>", "domain": "iot", "difficulty": "medium", "num_fields": 8} |
| {"id": "651a6471d312", "prompt": "Return JSON for a machine learning model card summary. Include: model_name, version, architecture, task, training_dataset, metrics (object with accuracy, f1, precision, recall), license, and limitations (array of strings).", "format": "json", "schema_description": "ML model card summary with nested metrics", "completion": "{\n \"model_name\": \"sentiment-classifier-v2\",\n \"version\": \"2.1.0\",\n \"architecture\": \"DistilBERT\",\n \"task\": \"text-classification\",\n \"training_dataset\": \"sst2\",\n \"metrics\": {\n \"accuracy\": 0.927,\n \"f1\": 0.924,\n \"precision\": 0.921,\n \"recall\": 0.928\n },\n \"license\": \"apache-2.0\",\n \"limitations\": [\n \"Trained only on English text\",\n \"May underperform on sarcasm and irony\",\n \"Not suitable for medical or legal sentiment analysis\"\n ]\n}", "domain": "ai", "difficulty": "medium", "num_fields": 8} |
| {"id": "14b74f1a8592", "prompt": "Create a Markdown results table for a benchmark comparing three LLM inference backends (vLLM, TGI, LiteLLM) on: throughput (tokens/sec), latency P50 (ms), latency P99 (ms), GPU memory (GB), and max concurrent requests.", "format": "markdown_table", "schema_description": "LLM inference backend benchmark table", "completion": "| Backend | Throughput (tok/s) | Latency P50 (ms) | Latency P99 (ms) | GPU Memory (GB) | Max Concurrent |\n|---|---|---|---|---|---|\n| vLLM | 3,840 | 128 | 410 | 18.2 | 512 |\n| TGI | 2,970 | 165 | 520 | 16.8 | 256 |\n| LiteLLM | 1,820 | 243 | 780 | 14.1 | 128 |", "domain": "ai", "difficulty": "hard", "num_fields": 6} |
| {"id": "8b0706e63257", "prompt": "Produce an XML representation of a university course enrollment. Include: enrollment_id, course (code, title, semester), student (id, name, email), enrollment_date, and status.", "format": "xml", "schema_description": "Course enrollment XML record", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<enrollment>\n <enrollment_id>ENR-20241101-44821</enrollment_id>\n <course>\n <code>CS401</code>\n <title>Distributed Systems</title>\n <semester>Fall 2024</semester>\n </course>\n <student>\n <id>STU-204517</id>\n <name>Amara Osei</name>\n <email>aosei@university.edu</email>\n </student>\n <enrollment_date>2024-09-01</enrollment_date>\n <status>active</status>\n</enrollment>", "domain": "education", "difficulty": "medium", "num_fields": 6} |
| {"id": "38a59641e577", "prompt": "Produce a YAML OpenAPI 3.0 info block and a single GET /users/{id} path definition with a 200 response returning a User schema object (id, name, email) and a 404 response.", "format": "yaml", "schema_description": "OpenAPI path definition with response schemas", "completion": "openapi: \"3.0.3\"\ninfo:\n title: User Service API\n version: \"1.0.0\"\n\npaths:\n /users/{id}:\n get:\n summary: Get user by ID\n parameters:\n - name: id\n in: path\n required: true\n schema:\n type: integer\n responses:\n \"200\":\n description: User found\n content:\n application/json:\n schema:\n type: object\n properties:\n id:\n type: integer\n name:\n type: string\n email:\n type: string\n \"404\":\n description: User not found", "domain": "software", "difficulty": "hard", "num_fields": 4} |
| {"id": "2b9dc3797a06", "prompt": "Write an XML document for a news feed item following the RSS 2.0 channel item spec. Include: title, link, description, pubDate (RFC 822), author, category, guid (isPermaLink=true), and enclosure (audio file).", "format": "xml", "schema_description": "RSS 2.0 channel item element", "completion": "<item>\n <title>LLMs in Production: Lessons from 12 Months of Deployment</title>\n <link>https://blog.example.com/llms-in-production-lessons</link>\n <description>Real-world observations on latency, cost, and reliability when running large language models at scale.</description>\n <pubDate>Fri, 01 Nov 2024 08:00:00 +0000</pubDate>\n <author>kai.okafor@example.com (Kai Okafor)</author>\n <category>Machine Learning</category>\n <guid isPermaLink=\"true\">https://blog.example.com/llms-in-production-lessons</guid>\n <enclosure url=\"https://podcast.example.com/ep88.mp3\"\n length=\"48234560\"\n type=\"audio/mpeg\"/>\n</item>", "domain": "media", "difficulty": "hard", "num_fields": 7} |
| {"id": "28848d0753b9", "prompt": "Create a YAML config for a Grafana dashboard panel: a time-series chart titled 'Request Rate' showing rate of HTTP requests over 5 minutes, y-axis labeled 'req/s', legend at bottom, with two PromQL targets: total requests and 5xx errors.", "format": "yaml", "schema_description": "Grafana panel definition in YAML", "completion": "title: \"Request Rate\"\ntype: timeseries\ndatasource: prometheus\n\nfieldConfig:\n defaults:\n unit: reqps\n\noptions:\n legend:\n placement: bottom\n\ntargets:\n - expr: \"sum(rate(http_requests_total[5m]))\"\n legendFormat: \"Total Requests\"\n refId: A\n\n - expr: \"sum(rate(http_requests_total{status=~\"5..\"}[5m]))\"\n legendFormat: \"5xx Errors\"\n refId: B\n\nyAxes:\n - label: \"req/s\"\n show: true", "domain": "software", "difficulty": "hard", "num_fields": 5} |
| {"id": "92c6eb51e095", "prompt": "Generate a CSV of daily stock prices for a fictional company 'TechCo' for 5 business days. Columns: date, open, high, low, close, volume.", "format": "csv", "schema_description": "OHLCV stock price table, 5 rows", "completion": "date,open,high,low,close,volume\n2024-10-28,142.30,145.80,141.50,144.60,8234500\n2024-10-29,144.70,147.20,143.90,146.50,7891200\n2024-10-30,146.40,148.10,145.20,147.80,9102300\n2024-10-31,147.90,149.50,146.80,148.30,6754800\n2024-11-01,148.20,151.00,147.60,150.75,10234100", "domain": "finance", "difficulty": "easy", "num_fields": 6} |
| {"id": "983d572de65c", "prompt": "Return a CSV table of 5 patients' lab results with columns: patient_id, test_name, result_value, unit, reference_range, status (normal/abnormal), collected_at.", "format": "csv", "schema_description": "Patient lab results table, 5 rows", "completion": "patient_id,test_name,result_value,unit,reference_range,status,collected_at\nPAT-001,Hemoglobin,13.8,g/dL,12.0-17.5,normal,2024-11-01T08:30:00Z\nPAT-001,Blood Glucose,112,mg/dL,70-99,abnormal,2024-11-01T08:30:00Z\nPAT-002,Creatinine,1.1,mg/dL,0.6-1.2,normal,2024-11-01T09:15:00Z\nPAT-002,TSH,0.4,mIU/L,0.4-4.0,normal,2024-11-01T09:15:00Z\nPAT-003,LDL Cholesterol,158,mg/dL,<100,abnormal,2024-11-01T10:00:00Z", "domain": "healthcare", "difficulty": "medium", "num_fields": 7} |
| {"id": "65e2afcb5f06", "prompt": "Create a Markdown table comparing Python, JavaScript, Go, and Rust across: typing system, primary use case, garbage collected (yes/no), compiled (yes/no), concurrency model, and package manager.", "format": "markdown_table", "schema_description": "Programming language comparison across 6 attributes", "completion": "| Attribute | Python | JavaScript | Go | Rust |\n|---|---|---|---|---|\n| Typing System | Dynamic | Dynamic | Static | Static |\n| Primary Use Case | Data science / scripting | Web / fullstack | Backend / cloud | Systems / performance |\n| Garbage Collected | Yes | Yes | Yes | No |\n| Compiled | No (interpreted) | No (JIT in V8) | Yes | Yes |\n| Concurrency Model | Threads / asyncio | Event loop | Goroutines | Async / threads |\n| Package Manager | pip | npm / yarn | go modules | cargo |", "domain": "software", "difficulty": "medium", "num_fields": 7} |
| {"id": "5cbc4fae2dfe", "prompt": "Return a CSV table of 5 recipes with columns: recipe_id, name, cuisine, prep_time_min, cook_time_min, servings, difficulty, calories_per_serving.", "format": "csv", "schema_description": "Recipe index table, 5 rows", "completion": "recipe_id,name,cuisine,prep_time_min,cook_time_min,servings,difficulty,calories_per_serving\nREC-001,Shakshuka,Middle Eastern,10,20,2,easy,340\nREC-002,Beef Bulgogi,Korean,90,15,4,medium,420\nREC-003,Risotto ai Funghi,Italian,10,35,4,medium,510\nREC-004,Pad See Ew,Thai,15,10,2,easy,580\nREC-005,Beef Wellington,British,45,45,6,hard,720", "domain": "food", "difficulty": "easy", "num_fields": 8} |
| {"id": "ad264dc44fc0", "prompt": "Create a JSON object for a legal case filing. Include: case_id, court, jurisdiction, filing_date, case_type (civil/criminal/administrative), plaintiff (name and counsel_name), defendant (name and counsel_name), charges (array), status, and next_hearing_date.", "format": "json", "schema_description": "Legal case filing record", "completion": "{\n \"case_id\": \"2024-CV-00441\",\n \"court\": \"Superior Court of California\",\n \"jurisdiction\": \"San Francisco County\",\n \"filing_date\": \"2024-10-15\",\n \"case_type\": \"civil\",\n \"plaintiff\": {\n \"name\": \"TechNova Inc.\",\n \"counsel_name\": \"Miranda Vasquez, Esq.\"\n },\n \"defendant\": {\n \"name\": \"DataBridge LLC\",\n \"counsel_name\": \"Elliot Park, Esq.\"\n },\n \"charges\": [\n \"Breach of contract\",\n \"Misappropriation of trade secrets\"\n ],\n \"status\": \"discovery\",\n \"next_hearing_date\": \"2024-12-10\"\n}", "domain": "legal", "difficulty": "medium", "num_fields": 10} |
| {"id": "ccd91e1595e1", "prompt": "Produce an XML document for an employee performance review. Include: review_id, review_period (year, quarter), employee (id, name, title, department), reviewer (id, name), ratings (array of category elements with name and score out of 5), overall_score, and comments.", "format": "xml", "schema_description": "Employee performance review XML", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<performance_review>\n <review_id>REV-20241101-0042</review_id>\n <review_period>\n <year>2024</year>\n <quarter>Q3</quarter>\n </review_period>\n <employee>\n <id>EMP-001</id>\n <name>Alice Tran</name>\n <title>Senior Software Engineer</title>\n <department>Engineering</department>\n </employee>\n <reviewer>\n <id>EMP-010</id>\n <name>Marcus Okonkwo</name>\n </reviewer>\n <ratings>\n <category name=\"Technical Excellence\" score=\"4.8\"/>\n <category name=\"Collaboration\" score=\"4.5\"/>\n <category name=\"Delivery\" score=\"4.6\"/>\n <category name=\"Communication\" score=\"4.2\"/>\n <category name=\"Leadership\" score=\"4.0\"/>\n </ratings>\n <overall_score>4.42</overall_score>\n <comments>Alice consistently delivers high-quality work and has mentored two junior engineers this quarter.</comments>\n</performance_review>", "domain": "hr", "difficulty": "hard", "num_fields": 8} |
| {"id": "cc07cafab6e5", "prompt": "Produce a CSV of 4 marathon race results. Columns: bib_number, runner_name, country, age_group, finish_time, pace_per_km, overall_rank, age_group_rank.", "format": "csv", "schema_description": "Marathon race results, 4 rows", "completion": "bib_number,runner_name,country,age_group,finish_time,pace_per_km,overall_rank,age_group_rank\n1042,Amara Diallo,Kenya,M30-39,2:08:14,3:03,1,1\n2281,Zhang Wei,China,M30-39,2:11:47,3:08,2,2\n3312,Sofia Eriksson,Sweden,F25-29,2:29:33,3:33,3,1\n4421,Carlos Herrera,Mexico,M40-49,2:35:18,3:41,4,1", "domain": "sports", "difficulty": "medium", "num_fields": 8} |
| {"id": "5c9c2fc7e728", "prompt": "Create a JSON payload for a shipment tracking event. Include: tracking_number, carrier, origin and destination (each with city, state, country), current_status, estimated_delivery, events (array of at least 3 objects with timestamp, location, description).", "format": "json", "schema_description": "Shipment tracking with nested events array", "completion": "{\n \"tracking_number\": \"1Z999AA10123456784\",\n \"carrier\": \"UPS\",\n \"origin\": {\"city\": \"Louisville\", \"state\": \"KY\", \"country\": \"US\"},\n \"destination\": {\"city\": \"Boston\", \"state\": \"MA\", \"country\": \"US\"},\n \"current_status\": \"In Transit\",\n \"estimated_delivery\": \"2024-11-03\",\n \"events\": [\n {\n \"timestamp\": \"2024-11-01T06:00:00Z\",\n \"location\": \"Louisville, KY\",\n \"description\": \"Package picked up\"\n },\n {\n \"timestamp\": \"2024-11-01T18:30:00Z\",\n \"location\": \"Cleveland, OH\",\n \"description\": \"Arrived at sorting facility\"\n },\n {\n \"timestamp\": \"2024-11-02T03:15:00Z\",\n \"location\": \"Philadelphia, PA\",\n \"description\": \"Departed facility\"\n }\n ]\n}", "domain": "logistics", "difficulty": "hard", "num_fields": 7} |
| {"id": "ab51b41f5a85", "prompt": "Return JSON for a Kubernetes pod spec summary. Include: pod_name, namespace, node, status, restart_count, containers (array with name, image, cpu_limit, memory_limit), and created_at.", "format": "json", "schema_description": "Kubernetes pod with nested containers array", "completion": "{\n \"pod_name\": \"api-server-7d9f8b-xkz4p\",\n \"namespace\": \"production\",\n \"node\": \"worker-node-03\",\n \"status\": \"Running\",\n \"restart_count\": 2,\n \"containers\": [\n {\n \"name\": \"api-server\",\n \"image\": \"myorg/api-server:1.8.3\",\n \"cpu_limit\": \"500m\",\n \"memory_limit\": \"512Mi\"\n }\n ],\n \"created_at\": \"2024-10-30T07:00:00Z\"\n}", "domain": "software", "difficulty": "medium", "num_fields": 7} |
| {"id": "ae0f03646d31", "prompt": "Write a YAML representation of a school course. Include: course_code, title, instructor (name, email), credits, schedule (days as list, time, room), prerequisites (list of course codes), and learning_objectives (list of 3 strings).", "format": "yaml", "schema_description": "School course definition with nested schedule", "completion": "course_code: CS401\ntitle: \"Distributed Systems\"\ninstructor:\n name: \"Prof. Lena Hartmann\"\n email: lhartmann@university.edu\ncredits: 4\nschedule:\n days:\n - Monday\n - Wednesday\n time: \"14:00-15:30\"\n room: \"Engineering Hall 302\"\nprerequisites:\n - CS301\n - CS220\nlearning_objectives:\n - Understand CAP theorem and consistency models in distributed databases\n - Design fault-tolerant systems using replication and consensus protocols\n - Implement and analyze distributed algorithms including Raft and Paxos", "domain": "education", "difficulty": "medium", "num_fields": 7} |
| {"id": "4aafcdd2331e", "prompt": "Write a YAML file for a Helm values override for a Redis deployment. Set the replica count to 3, enable password auth with a secret reference, set resource requests/limits (cpu and memory), and enable persistence with a 10Gi PVC.", "format": "yaml", "schema_description": "Helm values override for Redis", "completion": "replicaCount: 3\n\nauth:\n enabled: true\n existingSecret: redis-password-secret\n existingSecretPasswordKey: redis-password\n\nresources:\n requests:\n cpu: \"250m\"\n memory: \"256Mi\"\n limits:\n cpu: \"500m\"\n memory: \"512Mi\"\n\npersistence:\n enabled: true\n size: 10Gi\n storageClass: standard", "domain": "software", "difficulty": "hard", "num_fields": 6} |
| {"id": "3dcb9e7e9239", "prompt": "Generate a JSON configuration for an OAuth2 client registration. Include: client_id, client_secret (masked), grant_types (array), redirect_uris (array), scopes (array), and token_endpoint_auth_method.", "format": "json", "schema_description": "OAuth2 client registration config", "completion": "{\n \"client_id\": \"client_9f3a2e8b\",\n \"client_secret\": \"***REDACTED***\",\n \"grant_types\": [\"authorization_code\", \"refresh_token\"],\n \"redirect_uris\": [\n \"https://app.example.com/callback\",\n \"https://app.example.com/silent-refresh\"\n ],\n \"scopes\": [\"openid\", \"profile\", \"email\", \"offline_access\"],\n \"token_endpoint_auth_method\": \"client_secret_basic\"\n}", "domain": "software", "difficulty": "medium", "num_fields": 6} |
| {"id": "6f372b3e9f12", "prompt": "Return a JSON event object for a calendar application. Include: event_id, title, description, organizer (name, email), attendees (array with name, email, rsvp_status), start_time, end_time, timezone, location (address and optional meeting_url), recurrence (null for non-recurring), and reminders (array with method and minutes_before).", "format": "json", "schema_description": "Calendar event with attendees, location, and reminders", "completion": "{\n \"event_id\": \"evt_8f3c1a92\",\n \"title\": \"Q4 Planning Kickoff\",\n \"description\": \"Review OKRs and resource allocation for Q4 2024.\",\n \"organizer\": {\n \"name\": \"Alice Tran\",\n \"email\": \"alice.tran@example.com\"\n },\n \"attendees\": [\n {\"name\": \"Bob Nkosi\", \"email\": \"b.nkosi@example.com\", \"rsvp_status\": \"accepted\"},\n {\"name\": \"Carmen López\", \"email\": \"c.lopez@example.com\", \"rsvp_status\": \"tentative\"},\n {\"name\": \"David Park\", \"email\": \"d.park@example.com\", \"rsvp_status\": \"declined\"}\n ],\n \"start_time\": \"2024-11-05T09:00:00\",\n \"end_time\": \"2024-11-05T10:30:00\",\n \"timezone\": \"America/New_York\",\n \"location\": {\n \"address\": \"500 Market St, Conference Room 3B, San Francisco, CA\",\n \"meeting_url\": \"https://meet.example.com/q4-kickoff\"\n },\n \"recurrence\": null,\n \"reminders\": [\n {\"method\": \"email\", \"minutes_before\": 1440},\n {\"method\": \"popup\", \"minutes_before\": 15}\n ]\n}", "domain": "software", "difficulty": "hard", "num_fields": 10} |
| {"id": "ab5fac242bc8", "prompt": "Return a JSON object for an employee payroll record. Include: employee_id, full_name, department, pay_period (start and end dates), gross_pay_usd, deductions (object with federal_tax, state_tax, social_security, medicare, health_insurance), and net_pay_usd.", "format": "json", "schema_description": "Payroll record with nested deductions breakdown", "completion": "{\n \"employee_id\": \"EMP-30047\",\n \"full_name\": \"Priya Chandrasekaran\",\n \"department\": \"Engineering\",\n \"pay_period\": {\n \"start\": \"2024-10-16\",\n \"end\": \"2024-10-31\"\n },\n \"gross_pay_usd\": 4166.67,\n \"deductions\": {\n \"federal_tax\": 625.00,\n \"state_tax\": 208.33,\n \"social_security\": 258.33,\n \"medicare\": 60.42,\n \"health_insurance\": 125.00\n },\n \"net_pay_usd\": 2889.59\n}", "domain": "hr", "difficulty": "hard", "num_fields": 7} |
| {"id": "311d02cd9df5", "prompt": "Produce a JSON schema for a paginated API response. The wrapper should include: page, per_page, total_items, total_pages, and a data array. Put two placeholder user objects in data (id, name, role).", "format": "json", "schema_description": "Paginated API envelope with nested user records", "completion": "{\n \"page\": 1,\n \"per_page\": 2,\n \"total_items\": 87,\n \"total_pages\": 44,\n \"data\": [\n {\"id\": 1, \"name\": \"Alice Tran\", \"role\": \"admin\"},\n {\"id\": 2, \"name\": \"Bob Nkosi\", \"role\": \"viewer\"}\n ]\n}", "domain": "software", "difficulty": "medium", "num_fields": 5} |
| {"id": "8c1835dc9b05", "prompt": "Write an XML Atom feed for a tech blog. Include the feed title, link, updated timestamp, and two entry elements each with title, link, id, updated, summary, and author.", "format": "xml", "schema_description": "Atom syndication feed with two entries", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<feed xmlns=\"http://www.w3.org/2005/Atom\">\n <title>Tech Insights Blog</title>\n <link href=\"https://blog.example.com\" rel=\"alternate\"/>\n <updated>2024-11-01T16:00:00Z</updated>\n <id>urn:uuid:60a76c80-d399-11d9-b93c-0003939e0af6</id>\n\n <entry>\n <title>Understanding Vector Databases</title>\n <link href=\"https://blog.example.com/vector-databases\"/>\n <id>urn:uuid:1225c695-cfb8-4ebb-aaaa-80da344efa6a</id>\n <updated>2024-11-01T14:00:00Z</updated>\n <summary>A practical introduction to vector databases and their role in semantic search and RAG pipelines.</summary>\n <author><name>Kai Okafor</name></author>\n </entry>\n\n <entry>\n <title>CI/CD Best Practices for 2024</title>\n <link href=\"https://blog.example.com/cicd-best-practices\"/>\n <id>urn:uuid:3b51f706-d379-11e3-9c1a-0800200c9a66</id>\n <updated>2024-10-28T10:30:00Z</updated>\n <summary>Twelve actionable patterns to speed up your deployment pipelines and reduce flaky builds.</summary>\n <author><name>Sofia Müller</name></author>\n </entry>\n</feed>", "domain": "software", "difficulty": "hard", "num_fields": 6} |
| {"id": "f6cf89aefb66", "prompt": "Generate a Markdown table for a product feature matrix. Rows are features; columns are plan tiers: Free, Starter, Pro, Enterprise. Features: API access, Seats, Storage, SLA uptime, SSO, Audit logs, Custom integrations, Dedicated support.", "format": "markdown_table", "schema_description": "SaaS feature matrix across 4 tiers and 8 features", "completion": "| Feature | Free | Starter | Pro | Enterprise |\n|---|---|---|---|---|\n| API Access | Read-only | Full | Full | Full |\n| Seats | 1 | 5 | 25 | Unlimited |\n| Storage | 1 GB | 20 GB | 100 GB | Unlimited |\n| SLA Uptime | None | 99.5% | 99.9% | 99.99% |\n| SSO | ✗ | ✗ | ✓ | ✓ |\n| Audit Logs | ✗ | 30 days | 1 year | Unlimited |\n| Custom Integrations | ✗ | ✗ | ✓ | ✓ |\n| Dedicated Support | ✗ | ✗ | ✗ | ✓ |", "domain": "ecommerce", "difficulty": "hard", "num_fields": 5} |
| {"id": "6c15068fe405", "prompt": "Create an XML invoice document. Include: invoice number, issue date, due date, seller info (name, address), buyer info (name, address), line items (at least 3, each with description, quantity, unit_price, total), subtotal, tax_rate, tax_amount, and grand_total.", "format": "xml", "schema_description": "Structured invoice with line items", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<invoice>\n <invoice_number>INV-2024-10042</invoice_number>\n <issue_date>2024-11-01</issue_date>\n <due_date>2024-11-15</due_date>\n\n <seller>\n <name>Acme Software Ltd.</name>\n <address>12 Tech Park, London, EC1A 1BB, UK</address>\n </seller>\n\n <buyer>\n <name>Buildcorp Inc.</name>\n <address>500 Market St, San Francisco, CA 94105, US</address>\n </buyer>\n\n <line_items>\n <item>\n <description>Professional Subscription (1 year)</description>\n <quantity>1</quantity>\n <unit_price currency=\"USD\">1200.00</unit_price>\n <total currency=\"USD\">1200.00</total>\n </item>\n <item>\n <description>Onboarding Training (4 hours)</description>\n <quantity>4</quantity>\n <unit_price currency=\"USD\">150.00</unit_price>\n <total currency=\"USD\">600.00</total>\n </item>\n <item>\n <description>Priority Support Add-on (1 year)</description>\n <quantity>1</quantity>\n <unit_price currency=\"USD\">500.00</unit_price>\n <total currency=\"USD\">500.00</total>\n </item>\n </line_items>\n\n <subtotal currency=\"USD\">2300.00</subtotal>\n <tax_rate>0.20</tax_rate>\n <tax_amount currency=\"USD\">460.00</tax_amount>\n <grand_total currency=\"USD\">2760.00</grand_total>\n</invoice>", "domain": "finance", "difficulty": "hard", "num_fields": 10} |
| {"id": "c970feecfeeb", "prompt": "Create a Markdown table of time zones. Columns: Timezone Name, UTC Offset, DST Observed, Major Cities. Include 8 timezones spanning all regions.", "format": "markdown_table", "schema_description": "World time zones reference table", "completion": "| Timezone Name | UTC Offset | DST Observed | Major Cities |\n|---|---|---|---|\n| Pacific/Honolulu | UTC-10 | No | Honolulu |\n| America/Los_Angeles | UTC-8 / UTC-7 | Yes | Los Angeles, Seattle, Vancouver |\n| America/New_York | UTC-5 / UTC-4 | Yes | New York, Toronto, Miami |\n| Europe/London | UTC+0 / UTC+1 | Yes | London, Dublin, Lisbon |\n| Europe/Paris | UTC+1 / UTC+2 | Yes | Paris, Berlin, Rome, Madrid |\n| Asia/Kolkata | UTC+5:30 | No | Mumbai, Delhi, Bangalore |\n| Asia/Singapore | UTC+8 | No | Singapore, Kuala Lumpur |\n| Australia/Sydney | UTC+10 / UTC+11 | Yes | Sydney, Melbourne |", "domain": "geography", "difficulty": "easy", "num_fields": 4} |
| {"id": "35ffaf3bca1f", "prompt": "Create a YAML representation of a product pricing tier. Include: tier_name, price_monthly_usd, price_annual_usd, max_users, max_projects, features (list of at least 5 strings), and support_level.", "format": "yaml", "schema_description": "SaaS pricing tier definition", "completion": "tier_name: Professional\nprice_monthly_usd: 79.00\nprice_annual_usd: 790.00\nmax_users: 25\nmax_projects: 50\nfeatures:\n - Unlimited API calls\n - Advanced analytics dashboard\n - Custom domain support\n - Priority email support\n - SSO via SAML 2.0\n - Audit log (90 days)\nsupport_level: priority_email", "domain": "ecommerce", "difficulty": "easy", "num_fields": 7} |
| {"id": "d535f298452b", "prompt": "Write an XML configuration for a logging framework (like log4j2). Include a console appender with a pattern layout showing timestamp, level, logger, and message; and a rolling file appender with a daily rollover policy. Set the root logger level to INFO.", "format": "xml", "schema_description": "Log4j2-style logging configuration XML", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<Configuration status=\"WARN\">\n <Appenders>\n <Console name=\"Console\" target=\"SYSTEM_OUT\">\n <PatternLayout pattern=\"%d{yyyy-MM-dd HH:mm:ss} %-5level %logger{36} - %msg%n\"/>\n </Console>\n <RollingFile name=\"RollingFile\"\n fileName=\"logs/app.log\"\n filePattern=\"logs/app-%d{yyyy-MM-dd}.log.gz\">\n <PatternLayout pattern=\"%d{yyyy-MM-dd HH:mm:ss} %-5level %logger{36} - %msg%n\"/>\n <Policies>\n <TimeBasedTriggeringPolicy interval=\"1\" modulate=\"true\"/>\n </Policies>\n </RollingFile>\n </Appenders>\n <Loggers>\n <Root level=\"INFO\">\n <AppenderRef ref=\"Console\"/>\n <AppenderRef ref=\"RollingFile\"/>\n </Root>\n </Loggers>\n</Configuration>", "domain": "software", "difficulty": "hard", "num_fields": 4} |
| {"id": "9bce413797f8", "prompt": "Produce a JSON error response following RFC 7807 (Problem Details for HTTP APIs). Include: type (URI), title, status (HTTP code), detail, instance, and at minimum one extension field relevant to a rate-limit exceeded error.", "format": "json", "schema_description": "RFC 7807 problem-details error envelope", "completion": "{\n \"type\": \"https://api.example.com/errors/rate-limit-exceeded\",\n \"title\": \"Too Many Requests\",\n \"status\": 429,\n \"detail\": \"You have exceeded the limit of 100 requests per minute. Please wait before retrying.\",\n \"instance\": \"/api/v1/search?q=shoes\",\n \"retry_after_seconds\": 47,\n \"limit\": 100,\n \"remaining\": 0\n}", "domain": "software", "difficulty": "medium", "num_fields": 8} |
| {"id": "1f0bd27339f0", "prompt": "Create a CSV of 5 e-commerce orders. Columns: order_id, customer_email, order_date, item_count, subtotal_usd, shipping_usd, tax_usd, total_usd, status.", "format": "csv", "schema_description": "E-commerce orders table, 5 rows", "completion": "order_id,customer_email,order_date,item_count,subtotal_usd,shipping_usd,tax_usd,total_usd,status\nORD-10001,alice.chen@email.com,2024-10-29,2,89.98,5.99,7.65,103.62,delivered\nORD-10002,bob.wilson@email.com,2024-10-30,1,24.99,0.00,2.12,27.11,shipped\nORD-10003,diana.osei@email.com,2024-10-31,4,215.50,12.99,18.32,246.81,processing\nORD-10004,ethan.ko@email.com,2024-11-01,1,149.99,9.99,12.75,172.73,pending\nORD-10005,fiona.ray@email.com,2024-11-01,3,67.47,5.99,5.73,79.19,confirmed", "domain": "ecommerce", "difficulty": "medium", "num_fields": 9} |
| {"id": "e8e54ffa6e63", "prompt": "Produce a YAML front matter block for a Hugo blog post. Include: title, date, draft (boolean), tags (list), categories (list), description, and author.", "format": "yaml", "schema_description": "Hugo blog post front matter", "completion": "---\ntitle: \"Understanding Transformer Attention Mechanisms\"\ndate: 2024-11-01\ndraft: false\ntags:\n - deep-learning\n - transformers\n - attention\ncategories:\n - tutorials\ndescription: \"A step-by-step walkthrough of scaled dot-product attention and multi-head attention in modern transformer architectures.\"\nauthor: \"Kai Okafor\"\n---", "domain": "education", "difficulty": "easy", "num_fields": 7} |
| {"id": "c79940031c92", "prompt": "Produce a CSV of machine learning experiment results. Columns: experiment_id, model_type, learning_rate, batch_size, epochs_trained, train_accuracy, val_accuracy, test_f1, training_time_min, notes.", "format": "csv", "schema_description": "ML experiment results comparison table", "completion": "experiment_id,model_type,learning_rate,batch_size,epochs_trained,train_accuracy,val_accuracy,test_f1,training_time_min,notes\nEXP-001,bert-base,2e-5,32,10,0.951,0.921,0.918,42,\"Baseline run\"\nEXP-002,bert-base,3e-5,32,10,0.963,0.919,0.915,42,\"LR increase caused slight val drop\"\nEXP-003,bert-base,2e-5,16,10,0.948,0.929,0.927,78,\"Smaller batch improved val\"\nEXP-004,distilbert,2e-5,32,10,0.942,0.918,0.914,21,\"2x faster training\"\nEXP-005,roberta-base,2e-5,32,10,0.971,0.938,0.936,55,\"Best overall result\"", "domain": "ai", "difficulty": "hard", "num_fields": 10} |
| {"id": "c92c2556ce7b", "prompt": "Produce a JSON object for a news article. Include: article_id, headline, byline (author name and publication), published_at, section, word_count, summary, keywords (array), and canonical_url.", "format": "json", "schema_description": "News article metadata object", "completion": "{\n \"article_id\": \"ART-20241101-8841\",\n \"headline\": \"Global Chip Shortage Eases as TSMC Expands Arizona Fab\",\n \"byline\": {\n \"author\": \"Michelle Okonkwo\",\n \"publication\": \"Tech Dispatch\"\n },\n \"published_at\": \"2024-11-01T07:30:00Z\",\n \"section\": \"Technology\",\n \"word_count\": 1240,\n \"summary\": \"TSMC's new Phoenix facility begins volume production, signalling relief for automotive and consumer electronics supply chains.\",\n \"keywords\": [\"semiconductors\", \"TSMC\", \"supply-chain\", \"manufacturing\", \"chips\"],\n \"canonical_url\": \"https://techdispatch.com/articles/tsmc-arizona-production-2024\"\n}", "domain": "media", "difficulty": "medium", "num_fields": 9} |
| {"id": "2a51a11bec4d", "prompt": "Write an XML document for a book entry in a library catalog. Include elements for isbn, title, author (first and last name sub-elements), publisher, year, genre, and available_copies.", "format": "xml", "schema_description": "Library book catalog XML record", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<book>\n <isbn>978-0-13-468599-1</isbn>\n <title>The Pragmatic Programmer: Your Journey to Mastery</title>\n <author>\n <first_name>David</first_name>\n <last_name>Thomas</last_name>\n </author>\n <publisher>Addison-Wesley</publisher>\n <year>2019</year>\n <genre>Software Engineering</genre>\n <available_copies>3</available_copies>\n</book>", "domain": "education", "difficulty": "easy", "num_fields": 7} |
| {"id": "360e604db51e", "prompt": "Create a JSON object for a book in a library catalog. Fields: isbn, title, authors (array), publisher, year, edition, genres (array), page_count, language, and available_copies.", "format": "json", "schema_description": "Library catalog book record", "completion": "{\n \"isbn\": \"978-0-13-468599-1\",\n \"title\": \"The Pragmatic Programmer: Your Journey to Mastery\",\n \"authors\": [\"David Thomas\", \"Andrew Hunt\"],\n \"publisher\": \"Addison-Wesley\",\n \"year\": 2019,\n \"edition\": 2,\n \"genres\": [\"software-engineering\", \"professional-development\"],\n \"page_count\": 352,\n \"language\": \"en\",\n \"available_copies\": 3\n}", "domain": "education", "difficulty": "easy", "num_fields": 10} |
| {"id": "0d293dd7297f", "prompt": "Produce a Markdown table summarizing a quarterly budget vs. actuals report. Columns: Category, Q3 Budget USD, Q3 Actual USD, Variance USD, Variance Pct, Status. Include: Engineering, Marketing, Sales, Operations, HR. Compute realistic numbers.", "format": "markdown_table", "schema_description": "Quarterly budget vs. actuals table, 5 categories", "completion": "| Category | Q3 Budget (USD) | Q3 Actual (USD) | Variance (USD) | Variance (%) | Status |\n|---|---|---|---|---|---|\n| Engineering | 850,000 | 882,400 | +32,400 | +3.8% | Over |\n| Marketing | 320,000 | 298,750 | -21,250 | -6.6% | Under |\n| Sales | 210,000 | 215,600 | +5,600 | +2.7% | Over |\n| Operations | 180,000 | 176,300 | -3,700 | -2.1% | Under |\n| HR | 95,000 | 94,100 | -900 | -0.9% | Under |", "domain": "finance", "difficulty": "medium", "num_fields": 6} |
| {"id": "b723dcbeb272", "prompt": "Return a CSV of climate data for 5 cities in 2023. Columns: city, country, avg_temp_c, max_temp_c, min_temp_c, annual_rainfall_mm, avg_humidity_pct, sunshine_hours.", "format": "csv", "schema_description": "Annual climate statistics for 5 cities", "completion": "city,country,avg_temp_c,max_temp_c,min_temp_c,annual_rainfall_mm,avg_humidity_pct,sunshine_hours\nLagos,Nigeria,27.8,35.2,21.5,1750,82,2420\nLondon,UK,12.4,29.8,1.2,603,72,1634\nSingapore,Singapore,27.6,34.5,22.8,2340,84,2168\nDenver,USA,10.4,36.2,-12.1,368,45,3110\nSão Paulo,Brazil,19.5,32.0,11.4,1408,77,2083", "domain": "geography", "difficulty": "medium", "num_fields": 8} |
| {"id": "265769db0957", "prompt": "Produce a Markdown table for a machine learning dataset card. Columns: Property, Value. Rows: Task type, Languages, Size, Source, License, Split (train/val/test), Avg sequence length, Duplicate rate, Class balance.", "format": "markdown_table", "schema_description": "Dataset card properties table (label-value format)", "completion": "| Property | Value |\n|---|---|\n| Task type | Text classification |\n| Languages | English |\n| Size | 12,500 examples |\n| Source | Web-scraped + LLM-augmented |\n| License | Apache 2.0 |\n| Train / Val / Test | 10,000 / 1,250 / 1,250 |\n| Avg sequence length | 87 tokens |\n| Duplicate rate | < 0.5% |\n| Class balance | 52% positive / 48% negative |", "domain": "ai", "difficulty": "easy", "num_fields": 2} |
| {"id": "8ff92e3cea71", "prompt": "Write a YAML config for a rate limiter. Include global limits (requests_per_minute, burst_size) and per-endpoint overrides for /api/v1/search (higher limit) and /api/v1/export (much lower limit). Each endpoint entry should have path, requests_per_minute, and burst_size.", "format": "yaml", "schema_description": "Rate limiter configuration with per-endpoint overrides", "completion": "global:\n requests_per_minute: 60\n burst_size: 10\n\nper_endpoint:\n - path: /api/v1/search\n requests_per_minute: 300\n burst_size: 50\n\n - path: /api/v1/export\n requests_per_minute: 10\n burst_size: 2", "domain": "software", "difficulty": "medium", "num_fields": 4} |
| {"id": "77c812e35c32", "prompt": "Generate a CSV of 6 financial transactions from a personal budget tracker. Columns: txn_id, date, category, merchant, amount_usd (positive for income, negative for expense), account, notes.", "format": "csv", "schema_description": "Personal budget transaction log, 6 rows", "completion": "txn_id,date,category,merchant,amount_usd,account,notes\nTXN-001,2024-11-01,Income,Acme Corp,3800.00,Checking,Bi-weekly paycheck\nTXN-002,2024-11-01,Housing,Landlord,-1400.00,Checking,November rent\nTXN-003,2024-11-01,Groceries,Whole Foods,-82.47,Checking,Weekly grocery run\nTXN-004,2024-11-02,Transportation,Shell,-55.20,Credit Card,Gas fill-up\nTXN-005,2024-11-02,Dining,Noodle House,-28.50,Credit Card,Dinner with friend\nTXN-006,2024-11-03,Utilities,Electric Co.,-94.33,Checking,November electricity bill", "domain": "finance", "difficulty": "easy", "num_fields": 7} |
| {"id": "8f9f69368984", "prompt": "Create an XML SOAP envelope for a GetStockPrice request. The request should be in the SOAPAction 'GetStockPrice' namespace, include a StockName element set to 'AAPL', and follow SOAP 1.1 structure.", "format": "xml", "schema_description": "SOAP envelope for GetStockPrice request", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<soap:Envelope\n xmlns:soap=\"http://schemas.xmlsoap.org/soap/envelope/\"\n xmlns:stk=\"http://www.example.com/stock\">\n <soap:Header/>\n <soap:Body>\n <stk:GetStockPrice>\n <stk:StockName>AAPL</stk:StockName>\n </stk:GetStockPrice>\n </soap:Body>\n</soap:Envelope>", "domain": "finance", "difficulty": "medium", "num_fields": 3} |
| {"id": "67b425de7892", "prompt": "Return a JSON object for a support ticket. Include: ticket_id, created_at, updated_at, status (open/pending/resolved/closed), priority (low/medium/high/critical), subject, description, reporter (name, email), assignee (name, team), tags (array), and resolution_time_hours (null if unresolved).", "format": "json", "schema_description": "Customer support ticket", "completion": "{\n \"ticket_id\": \"TKT-20241101-7731\",\n \"created_at\": \"2024-11-01T10:15:00Z\",\n \"updated_at\": \"2024-11-01T11:30:00Z\",\n \"status\": \"pending\",\n \"priority\": \"high\",\n \"subject\": \"Payment processing fails for AMEX cards\",\n \"description\": \"Customers using American Express cards receive a generic error at checkout. Issue began at approximately 09:45 UTC. Stripe dashboard shows 'card_declined' for all AMEX transactions.\",\n \"reporter\": {\n \"name\": \"Fiona Walsh\",\n \"email\": \"fwalsh@customer.com\"\n },\n \"assignee\": {\n \"name\": \"Carlos Mendoza\",\n \"team\": \"Payments Engineering\"\n },\n \"tags\": [\"payments\", \"amex\", \"checkout\", \"regression\"],\n \"resolution_time_hours\": null\n}", "domain": "software", "difficulty": "hard", "num_fields": 11} |
| {"id": "53ddef5c3927", "prompt": "Create a YAML front matter for a dataset card on Hugging Face. Include: language (list), license, task_categories (list), tags (list), pretty_name, and size_categories.", "format": "yaml", "schema_description": "Hugging Face dataset card YAML front matter", "completion": "---\nlanguage:\n - en\nlicense: apache-2.0\ntask_categories:\n - text-classification\n - text-generation\ntags:\n - synthetic\n - structured-output\n - fine-tuning\npretty_name: Structured Output Generation\nsize_categories:\n - 100<n<1K\n---", "domain": "ai", "difficulty": "easy", "num_fields": 6} |
| {"id": "1503e66a530d", "prompt": "Generate a CSV of 5 customer support metrics by agent for October 2024. Columns: agent_id, agent_name, tickets_resolved, avg_resolution_hours, csat_score, first_contact_resolution_pct, escalations.", "format": "csv", "schema_description": "Customer support agent performance metrics, 5 rows", "completion": "agent_id,agent_name,tickets_resolved,avg_resolution_hours,csat_score,first_contact_resolution_pct,escalations\nAGT-01,Lara Kovacs,312,3.2,4.7,82.1,8\nAGT-02,Samuel Osei,287,4.1,4.5,78.4,14\nAGT-03,Nina Petrova,341,2.9,4.8,85.3,5\nAGT-04,Raj Patel,275,5.8,4.1,71.3,22\nAGT-05,Yasmin Nkrumah,318,3.5,4.6,80.2,11", "domain": "hr", "difficulty": "medium", "num_fields": 7} |
| {"id": "9f77812f7761", "prompt": "Create a YAML structure for a machine learning experiment config. Include: experiment_name, model (type, hidden_layers, dropout_rate), optimizer (name, learning_rate, weight_decay), training (epochs, batch_size, early_stopping_patience), and seed.", "format": "yaml", "schema_description": "ML experiment hyperparameter config", "completion": "experiment_name: \"text-clf-v3-tuning\"\nmodel:\n type: transformer_classifier\n hidden_layers: 6\n dropout_rate: 0.15\noptimizer:\n name: AdamW\n learning_rate: 2.0e-5\n weight_decay: 0.01\ntraining:\n epochs: 20\n batch_size: 32\n early_stopping_patience: 3\nseed: 42", "domain": "ai", "difficulty": "medium", "num_fields": 6} |
| {"id": "4ae581e4786c", "prompt": "Write a YAML file for an Ansible playbook that installs Nginx on Ubuntu hosts, enables and starts the service, and opens port 80 in the firewall using ufw.", "format": "yaml", "schema_description": "Ansible playbook for Nginx installation", "completion": "---\n- name: Install and configure Nginx\n hosts: webservers\n become: true\n\n tasks:\n - name: Install Nginx\n apt:\n name: nginx\n state: present\n update_cache: true\n\n - name: Enable and start Nginx\n systemd:\n name: nginx\n enabled: true\n state: started\n\n - name: Allow HTTP through firewall\n ufw:\n rule: allow\n port: \"80\"\n proto: tcp", "domain": "software", "difficulty": "medium", "num_fields": 3} |
| {"id": "7d2938e5be17", "prompt": "Create an XML document for a legal contract clause. Include: clause_id, clause_number (e.g. 8.2), title, effective_date, parties (list with name and role), body_text (the clause text), and subclauses (list of at least 2 subclause elements with id and text).", "format": "xml", "schema_description": "Legal contract clause XML", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clause>\n <clause_id>CLS-82</clause_id>\n <clause_number>8.2</clause_number>\n <title>Limitation of Liability</title>\n <effective_date>2024-11-01</effective_date>\n\n <parties>\n <party role=\"vendor\">Acme Software Ltd.</party>\n <party role=\"customer\">Buildcorp Inc.</party>\n </parties>\n\n <body_text>\n Neither party shall be liable for any indirect, incidental, special, consequential or\n punitive damages arising out of or related to this Agreement, regardless of the theory\n of liability and whether or not such party has been advised of the possibility of such damages.\n </body_text>\n\n <subclauses>\n <subclause id=\"8.2.1\">\n The aggregate liability of either party under or in connection with this Agreement\n shall not exceed the total fees paid by Customer in the twelve (12) months preceding the claim.\n </subclause>\n <subclause id=\"8.2.2\">\n The limitations in this Clause 8.2 shall not apply to liability for death or personal injury,\n or for fraud or wilful misconduct.\n </subclause>\n </subclauses>\n</clause>", "domain": "legal", "difficulty": "hard", "num_fields": 7} |
| {"id": "99356c4a0726", "prompt": "Write a Markdown table comparing five NoSQL database types: Document, Key-Value, Column-Family, Graph, Time-Series. Columns: Type, Example DBs, Data Model, Best For, Query Language.", "format": "markdown_table", "schema_description": "NoSQL database types comparison", "completion": "| Type | Example DBs | Data Model | Best For | Query Language |\n|---|---|---|---|---|\n| Document | MongoDB, Firestore | JSON/BSON documents | Content management, catalogs | MQL, SQL-like |\n| Key-Value | Redis, DynamoDB | Hash map / dict | Sessions, caching, leaderboards | GET/SET API |\n| Column-Family | Cassandra, HBase | Rows + dynamic columns | Time-series, write-heavy workloads | CQL |\n| Graph | Neo4j, Amazon Neptune | Nodes + edges | Social networks, recommendation | Cypher, Gremlin |\n| Time-Series | InfluxDB, TimescaleDB | Timestamped measurements | Metrics, IoT, monitoring | InfluxQL, SQL |", "domain": "software", "difficulty": "medium", "num_fields": 5} |
| {"id": "6f1285f7e118", "prompt": "Generate a CSV of 5 job postings with columns: job_id, title, department, location, salary_min_usd, salary_max_usd, remote_eligible, posted_date, closes_date.", "format": "csv", "schema_description": "Job postings table, 5 rows", "completion": "job_id,title,department,location,salary_min_usd,salary_max_usd,remote_eligible,posted_date,closes_date\nJOB-2001,Senior Backend Engineer,Engineering,New York NY,130000,165000,true,2024-10-28,2024-11-25\nJOB-2002,Product Manager,Product,San Francisco CA,140000,175000,false,2024-10-30,2024-11-27\nJOB-2003,Data Analyst,Analytics,Remote,85000,110000,true,2024-11-01,2024-12-01\nJOB-2004,UX Designer,Design,Austin TX,95000,125000,true,2024-11-01,2024-12-01\nJOB-2005,DevOps Engineer,Infrastructure,Seattle WA,120000,155000,false,2024-10-29,2024-11-26", "domain": "hr", "difficulty": "medium", "num_fields": 9} |
| {"id": "f01de8b182fc", "prompt": "Produce an XML document for a product warranty claim. Include: claim_id, submission_date, product (sku, name, purchase_date, serial_number), customer (name, email, phone), issue_description, attachments (list of filename elements), and status.", "format": "xml", "schema_description": "Warranty claim XML document", "completion": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<warranty_claim>\n <claim_id>WC-20241101-3312</claim_id>\n <submission_date>2024-11-01</submission_date>\n\n <product>\n <sku>WH-NC900-BLK</sku>\n <name>ProSound Noise-Cancelling Headphones</name>\n <purchase_date>2024-08-15</purchase_date>\n <serial_number>PSNC-2024-88441290</serial_number>\n </product>\n\n <customer>\n <name>Marcus Okonkwo</name>\n <email>marcus.okonkwo@email.com</email>\n <phone>+1-415-555-0192</phone>\n </customer>\n\n <issue_description>Left ear cup audio cuts out intermittently after 2-3 hours of use. Issue is reproducible consistently.</issue_description>\n\n <attachments>\n <file>receipt_august_2024.pdf</file>\n <file>defect_video.mp4</file>\n </attachments>\n\n <status>received</status>\n</warranty_claim>", "domain": "ecommerce", "difficulty": "medium", "num_fields": 8} |
| {"id": "6273fa9b3ced", "prompt": "Generate JSON for a recipe. Include: recipe_id, title, description, prep_time_min, cook_time_min, servings, ingredients (array of objects with name, amount, unit), instructions (ordered list of strings), tags, and nutrition_per_serving (calories, protein_g, carbs_g, fat_g).", "format": "json", "schema_description": "Recipe document with nested ingredients and nutrition", "completion": "{\n \"recipe_id\": \"REC-4421\",\n \"title\": \"Lemon Herb Roasted Chicken\",\n \"description\": \"A simple weeknight roast chicken with crispy skin and bright citrus flavour.\",\n \"prep_time_min\": 15,\n \"cook_time_min\": 75,\n \"servings\": 4,\n \"ingredients\": [\n {\"name\": \"whole chicken\", \"amount\": 1.5, \"unit\": \"kg\"},\n {\"name\": \"lemon\", \"amount\": 2, \"unit\": \"whole\"},\n {\"name\": \"garlic\", \"amount\": 6, \"unit\": \"cloves\"},\n {\"name\": \"fresh rosemary\", \"amount\": 4, \"unit\": \"sprigs\"},\n {\"name\": \"olive oil\", \"amount\": 3, \"unit\": \"tbsp\"},\n {\"name\": \"salt\", \"amount\": 1.5, \"unit\": \"tsp\"},\n {\"name\": \"black pepper\", \"amount\": 0.5, \"unit\": \"tsp\"}\n ],\n \"instructions\": [\n \"Preheat oven to 220°C (425°F).\",\n \"Pat the chicken dry with paper towels.\",\n \"Rub the outside with olive oil, salt, and pepper.\",\n \"Stuff the cavity with lemon halves, garlic, and rosemary.\",\n \"Roast for 75 minutes or until juices run clear.\",\n \"Rest for 10 minutes before carving.\"\n ],\n \"tags\": [\"chicken\", \"roast\", \"weeknight\", \"gluten-free\"],\n \"nutrition_per_serving\": {\n \"calories\": 420,\n \"protein_g\": 48,\n \"carbs_g\": 4,\n \"fat_g\": 22\n }\n}", "domain": "food", "difficulty": "hard", "num_fields": 9} |
| {"id": "3913dfd9945b", "prompt": "Write a Markdown table for a project risk register. Columns: Risk ID, Description, Likelihood (1-5), Impact (1-5), Risk Score, Owner, Mitigation. Include 5 risks for a cloud migration project.", "format": "markdown_table", "schema_description": "Project risk register table, 5 risks", "completion": "| Risk ID | Description | Likelihood (1-5) | Impact (1-5) | Risk Score | Owner | Mitigation |\n|---|---|---|---|---|---|---|\n| RISK-01 | Data loss during migration cutover | 2 | 5 | 10 | Lead Architect | Full backup + rollback plan tested in staging |\n| RISK-02 | Network latency increase for on-prem integrations | 3 | 4 | 12 | Network Engineer | Deploy ExpressRoute; baseline latency SLAs before go-live |\n| RISK-03 | IAM misconfiguration exposes sensitive data | 2 | 5 | 10 | Security Lead | Automated policy scanning in CI + quarterly audit |\n| RISK-04 | Key engineering staff leave during migration | 2 | 4 | 8 | HR / PM | Knowledge transfer sessions + runbook documentation |\n| RISK-05 | Cost overrun due to unoptimised cloud resources | 4 | 3 | 12 | Cloud FinOps | Weekly cost review; enforce tag policy + budget alerts |", "domain": "software", "difficulty": "hard", "num_fields": 7} |
| {"id": "df3f0d979108", "prompt": "Create a JSON object for a hospital patient record. Include: patient_id, name, date_of_birth, blood_type, allergies (array), primary_physician, and admission_date.", "format": "json", "schema_description": "Hospital patient record with allergies array", "completion": "{\n \"patient_id\": \"PAT-88210\",\n \"name\": \"Carmen Rodríguez\",\n \"date_of_birth\": \"1978-06-12\",\n \"blood_type\": \"O+\",\n \"allergies\": [\"penicillin\", \"latex\"],\n \"primary_physician\": \"Dr. Samuel Yeboah\",\n \"admission_date\": \"2024-10-28\"\n}", "domain": "healthcare", "difficulty": "medium", "num_fields": 7} |
| {"id": "24fde342430f", "prompt": "Return a JSON object for a rental car booking. Include: booking_id, customer_name, pickup_location, dropoff_location, pickup_datetime, dropoff_datetime, vehicle_class, daily_rate_usd, total_days, total_usd, insurance_included.", "format": "json", "schema_description": "Rental car booking record", "completion": "{\n \"booking_id\": \"CAR-20241103-5521\",\n \"customer_name\": \"Tomás García\",\n \"pickup_location\": \"Madrid Barajas Airport, Terminal 4\",\n \"dropoff_location\": \"Madrid Barajas Airport, Terminal 4\",\n \"pickup_datetime\": \"2024-11-10T09:00:00\",\n \"dropoff_datetime\": \"2024-11-17T09:00:00\",\n \"vehicle_class\": \"Intermediate SUV\",\n \"daily_rate_usd\": 68.00,\n \"total_days\": 7,\n \"total_usd\": 476.00,\n \"insurance_included\": true\n}", "domain": "logistics", "difficulty": "easy", "num_fields": 11} |
| {"id": "34fd9dc413ef", "prompt": "Create a CSV of 5 mobile app reviews. Columns: review_id, app_name, platform, rating_out_of_5, review_text, reviewer, date, helpful_votes.", "format": "csv", "schema_description": "App store review table, 5 rows", "completion": "review_id,app_name,platform,rating_out_of_5,review_text,reviewer,date,helpful_votes\nREV-001,BudgetBuddy,iOS,5,\"Completely transformed how I manage my money. Clean UI and powerful reports.\",Sarah_M,2024-10-30,48\nREV-002,BudgetBuddy,Android,2,\"Keeps crashing on Samsung Galaxy S24. Three uninstalls and reinstalls haven't helped.\",anon_user99,2024-10-28,31\nREV-003,BudgetBuddy,iOS,4,\"Great app but the CSV export feature is buried way too deep in menus.\",JasonK,2024-10-25,12\nREV-004,BudgetBuddy,Android,5,\"Syncs across devices instantly. Best budgeting app I've tried.\",Maria_L,2024-10-22,27\nREV-005,BudgetBuddy,iOS,3,\"Decent but subscription price jumped 40% with no warning. Considering alternatives.\",CriticalCarl,2024-10-20,65", "domain": "media", "difficulty": "medium", "num_fields": 8} |
| {"id": "e20bfb455389", "prompt": "Create a JSON object for a scientific experiment record. Include: experiment_id, title, principal_investigator (name, affiliation), hypothesis, method (type and brief description), sample_size, start_date, end_date, results (summary string and p_value), conclusion, and doi (null if unpublished).", "format": "json", "schema_description": "Scientific experiment record", "completion": "{\n \"experiment_id\": \"EXP-BIO-2024-0441\",\n \"title\": \"Effect of Sleep Deprivation on Working Memory in Adults 25-40\",\n \"principal_investigator\": {\n \"name\": \"Dr. Yuki Tanaka\",\n \"affiliation\": \"University of Tokyo\"\n },\n \"hypothesis\": \"Reducing sleep to <6 hours for 5 consecutive nights significantly impairs working memory performance as measured by the n-back task.\",\n \"method\": {\n \"type\": \"randomized_controlled_trial\",\n \"description\": \"Participants assigned to either 8h sleep (control) or <6h sleep (treatment) for 5 days; n-back performance measured daily.\"\n },\n \"sample_size\": 84,\n \"start_date\": \"2024-03-01\",\n \"end_date\": \"2024-06-30\",\n \"results\": {\n \"summary\": \"Treatment group showed a 22% reduction in 3-back accuracy (p < 0.001) vs. control.\",\n \"p_value\": 0.0003\n },\n \"conclusion\": \"Chronic mild sleep restriction significantly impairs working memory; effect size was larger than anticipated.\",\n \"doi\": null\n}", "domain": "science", "difficulty": "hard", "num_fields": 10} |
|
|
