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README.md CHANGED
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- license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: cc-by-4.0
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+ pretty_name: Query Agent Gym
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+ language:
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+ - en
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+ size_categories:
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+ - 10K<n<100K
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+ task_categories:
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+ - question-answering
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+ - table-question-answering
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+ tags:
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+ - weaviate
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+ - query-agent
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+ - function-calling
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+ - text-to-query
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+ - database
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+ - retrieval
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+ - agents
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+ - synthetic
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+ configs:
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+ - config_name: queries
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+ default: true
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+ data_files:
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+ - split: test
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+ path:
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+ - public-transit/queries.parquet
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+ - tattoo-studios/queries.parquet
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+ - nonprofits/queries.parquet
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+ - surf-schools/queries.parquet
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+ - childcare/queries.parquet
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+ - config_name: environments
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+ data_files:
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+ - split: test
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+ path: environments.parquet
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+ - config_name: public-transit_TransitRoutes
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+ data_files:
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+ - split: test
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+ path: public-transit/objects/TransitRoutes.parquet
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+ - config_name: public-transit_RidershipReports
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+ data_files:
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+ - split: test
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+ path: public-transit/objects/RidershipReports.parquet
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+ - config_name: tattoo-studios_TattooArtists
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+ data_files:
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+ - split: test
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+ path: tattoo-studios/objects/TattooArtists.parquet
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+ - config_name: tattoo-studios_TattooDesigns
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+ data_files:
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+ - split: test
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+ path: tattoo-studios/objects/TattooDesigns.parquet
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+ - config_name: nonprofits_Charities
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+ data_files:
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+ - split: test
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+ path: nonprofits/objects/Charities.parquet
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+ - config_name: nonprofits_Campaigns
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+ data_files:
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+ - split: test
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+ path: nonprofits/objects/Campaigns.parquet
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+ - config_name: nonprofits_GivingPrograms
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+ data_files:
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+ - split: test
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+ path: nonprofits/objects/GivingPrograms.parquet
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+ - config_name: nonprofits_Donations
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+ data_files:
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+ - split: test
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+ path: nonprofits/objects/Donations.parquet
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+ - config_name: surf-schools_SurfBeaches
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+ data_files:
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+ - split: test
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+ path: surf-schools/objects/SurfBeaches.parquet
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+ - config_name: surf-schools_SurfInstructors
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+ data_files:
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+ - split: test
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+ path: surf-schools/objects/SurfInstructors.parquet
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+ - config_name: surf-schools_LessonPrograms
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+ data_files:
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+ - split: test
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+ path: surf-schools/objects/LessonPrograms.parquet
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+ - config_name: surf-schools_SurfEquipment
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+ data_files:
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+ - split: test
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+ path: surf-schools/objects/SurfEquipment.parquet
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+ - config_name: childcare_DaycareCenters
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+ data_files:
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+ - split: test
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+ path: childcare/objects/DaycareCenters.parquet
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+ - config_name: childcare_ChildcareStaff
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+ data_files:
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+ - split: test
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+ path: childcare/objects/ChildcareStaff.parquet
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+ - config_name: childcare_ChildEnrollments
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+ data_files:
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+ - split: test
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+ path: childcare/objects/ChildEnrollments.parquet
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  ---
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+
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+ # Query Agent Gym
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+
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+ Query Agent Gym is a set of procedurally generated database environments and
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+ natural-language queries with exactly known ground-truth queries, built to
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+ evaluate data agents that answer questions by writing database queries, such
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+ as the [Weaviate Query Agent](https://docs.weaviate.io/agents/query). How the
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+ environments and queries are generated is described in the blog post
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+ [Query Agent Gym: Post-Training our Query Agent](https://weaviate.io/blog/query-agent-gym).
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+
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+ This release holds the five **held-out test environments** of that study:
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+ 15 collections with 1,000 objects each (15,000 objects, 18,000 searchable
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+ documents) and 250 queries, 50 per environment. Every entity, name, and
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+ document is synthetic.
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+
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+ | Environment | Collections (kind) | Objects | Queries |
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+ |---|---|---:|---:|
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+ | Public Transit | TransitRoutes (knowledge_base), RidershipReports (transactional) | 2,000 | 50 |
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+ | Tattoo Studios | TattooArtists, TattooDesigns (knowledge_base) | 2,000 | 50 |
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+ | Nonprofits | Charities, Campaigns, GivingPrograms (knowledge_base), Donations (transactional) | 4,000 | 50 |
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+ | Surf Schools | SurfBeaches, SurfInstructors, LessonPrograms, SurfEquipment (knowledge_base) | 4,000 | 50 |
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+ | Childcare | DaycareCenters, ChildcareStaff (knowledge_base), ChildEnrollments (transactional) | 3,000 | 50 |
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+
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+ ## Quick start
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+
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+ ```python
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+ from datasets import load_dataset
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+ import json
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+
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+ queries = load_dataset("<org>/query-agent-gym", "queries", split="test")
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+ surf = queries.filter(lambda r: r["environment"] == "surf-schools")
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+ q = queries[0]
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+ print(q["command"]) # the natural-language request
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+ print(q["ground_truth_sql"]) # readable ground truth, one entry per sub-query
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+ plan = json.loads(q["ground_truth"]) # exact ground truth (query_database arguments)
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+
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+ routes = load_dataset("<org>/query-agent-gym", "public-transit_TransitRoutes", split="test")
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+ ```
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+
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+ ## Layout
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+
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+ Each environment has its own folder.
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+
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+ ```
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+ environments.parquet one row per environment
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+ <environment>/schema.json the schema exactly as generated
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+ <environment>/queries.parquet the environment's 50 queries
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+ <environment>/objects/<Collection>.parquet 1,000 objects per collection
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+ ```
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+
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+ | Config | Rows | Contents |
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+ |---|---:|---|
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+ | `queries` (default) | 250 | All five environments' queries, with an `environment` column |
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+ | `environments` | 5 | One row per environment |
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+ | `<environment>_<Collection>` | 1,000 each | The objects of one collection, one typed column per property |
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+
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+ To work with one environment, filter the `queries` config on `environment`,
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+ or read `<environment>/queries.parquet` directly.
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+
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+ ### `queries`
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+
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+ | Field | Type | Description |
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+ |---|---|---|
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+ | `query_id` | string | e.g. `public-transit-013` |
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+ | `environment` | string | Environment id, e.g. `public-transit` |
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+ | `environment_name` | string | e.g. `Public Transit` |
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+ | `command` | string | The natural-language request given to the agent |
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+ | `phrasing` | string | `explicit` (names properties and values plainly) or `conversational` (a scenario, with values still verbatim) |
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+ | `plan` | string | The operators of the plan, sub-queries separated by `;` |
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+ | `num_sub_queries` | int | 1 to 3. Sub-queries are independent, never multi-hop |
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+ | `operator_classes` | list of strings | Operator classes the plan features (search, each filter kind, each aggregation kind, group-by, multi-query) |
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+ | `ground_truth` | string (JSON) | List of `query_database` argument objects, one per sub-query (format below) |
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+ | `ground_truth_sql` | list of strings | A SQL-like rendering of each sub-query, for reading only |
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+ | `search_grounds` | list of structs | For each sub-query with a search, its relevance-labeled result set (below) |
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+ | `reference_results` | string (JSON) | Each sub-query's ground truth executed on the objects (below) |
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+
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+ ### Objects
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+
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+ Each `<environment>_<Collection>` config has a `uuid` column followed by one
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+ column per property, in schema order. The `uuid` is the object's id and is
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+ what `search_grounds` and `reference_results` refer to. Property types map to
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+ columns and to Weaviate data types as follows.
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+
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+ | Property type | Column type | Weaviate data type |
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+ |---|---|---|
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+ | `searchable_text` | string | `text` (the prose a search should match) |
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+ | `filterable_text` | string | `text` (identifiers, references, categories) |
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+ | `int` / `number` | int64 / float64 | `int` / `number` |
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+ | `boolean` | bool | `boolean` |
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+ | `date` | string, `YYYY-MM-DD` | `date` (send as RFC 3339, e.g. `2025-11-16T00:00:00Z`) |
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+ | `text_array`, `int_array`, `number_array`, `boolean_array`, `date_array` | list | `text[]`, `int[]`, `number[]`, `boolean[]`, `date[]` |
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+
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+ Each collection has exactly one identifier property (`is_identifier` in
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+ `schema.json`): an invented, unique name in a `knowledge_base` collection, a
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+ code in a `transactional` one. A `transactional` collection's reference
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+ properties (`references` in `schema.json`) hold the identifier of a
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+ `knowledge_base` record,
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+ stored directly in the row, so no query needs a join. No value is null.
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+
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+ ## Ground truth format
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+
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+ A ground truth is a list of sub-queries, each a `query_database` function-call
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+ argument object.
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+
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+ ```json
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+ [{"collection_name": "TransitRoutes",
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+ "search_query": "observatory and weather access",
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+ "numeric_array_property_filters": [
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+ {"property_name": "stopSequenceNumbers", "operator": "CONTAINS_ALL", "values": [1, 8]}]}]
205
+ ```
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+
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+ | Argument | Items | Operators or metrics |
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+ |---|---|---|
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+ | `collection_name` | | The target collection |
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+ | `search_query` | string | A relevance search over the collection's searchable text |
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+ | `text_property_filters` | `property_name`, `operator`, `value` | `=`, `LIKE` (pattern uses `%`, e.g. `Nerith%`) |
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+ | `numeric_property_filters` | `property_name`, `operator`, `value` | `=`, `<`, `>`, `<=`, `>=` |
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+ | `date_property_filters` | `property_name`, `operator`, `value` (ISO date) | `=`, `<`, `>`, `<=`, `>=` |
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+ | `boolean_property_filters` | `property_name`, `operator`, `value` | `=`, `!=` |
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+ | `array_property_filters` (text arrays), `numeric_array_property_filters`, `boolean_array_property_filters`, `date_array_property_filters` | `property_name`, `operator`, `values` | `CONTAINS_ANY`, `CONTAINS_ALL` |
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+ | `numeric_property_aggregations` | `property_name`, `metric` | `COUNT`, `MIN`, `MAX`, `MEAN`, `MEDIAN`, `MODE`, `SUM` |
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+ | `text_property_aggregations` | `property_name`, `metric`, `top_occurrences_limit` | `COUNT`, `COUNT_DISTINCT`, `TOP_OCCURRENCES` |
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+ | `boolean_property_aggregations` | `property_name`, `metric` | `COUNT`, `TOTAL_TRUE`, `TOTAL_FALSE`, `PERCENTAGE_TRUE`, `PERCENTAGE_FALSE` |
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+ | `date_property_aggregations` | `property_name`, `metric` | `COUNT`, `EARLIEST`, `LATEST` |
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+ | `groupby_property` | string | Groups every aggregation of the sub-query |
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+
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+ All filters in a sub-query are combined with AND. A sub-query without
223
+ aggregations retrieves records, and one with aggregations returns only the
224
+ statistics.
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+
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+ **Searches.** The words of `search_query` are one valid phrasing and are not
227
+ the target. A search sub-query's correct result is its labeled set:
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+ `search_grounds[i].candidate_ids` are the records the sub-query's filters
229
+ select (R), and `relevant_ids` are the records a language model labeled
230
+ relevant to the topic after reading every document in R (S). The `topic` and
231
+ `description` fields say what the search is about.
232
+
233
+ **Reference results.** `reference_results[i]` is sub-query `i` executed on the
234
+ objects, with a search resolving to its `relevant_ids`. A retrieval is a sorted
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+ list of uuids, an aggregation is `{"METRIC(property)": value}`, and a group-by
236
+ maps each group value (as a string) to its aggregations. Percentages are on a
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+ 0 to 100 scale, and `TOP_OCCURRENCES` is a list of `[value, count]` pairs.
238
+ Ties in `MODE` and `TOP_OCCURRENCES` are broken deterministically, which a
239
+ database may break differently.
240
+
241
+ ## Evaluation
242
+
243
+ The blog post evaluates agents with **Exact Match** over the plan. The
244
+ predicted and ground-truth plans are canonicalized and matched sub-query to
245
+ sub-query. The collection, every filter with its operator and value, every
246
+ aggregation with its metric and property, and the group-by must agree, and
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+ extra sub-queries or statistics count as errors. A search must be present on
248
+ the right collection, but its words are not compared. A few re-expressions
249
+ that return the same answer on the data are accepted, such as a per-group
250
+ count of any populated single-valued property, or a date bound that excludes
251
+ no record. Answer-level comparison against `reference_results` is a looser
252
+ alternative.
253
+
254
+ To reproduce the setup, create one Weaviate collection per objects config with
255
+ the data types above and a text vectorizer (the study used
256
+ `text2vec_weaviate` with hybrid search), use each row's `uuid` as the object
257
+ id, and point the agent at an environment's collections. Uploading each run
258
+ under a fresh collection name avoids agents reusing statistics cached from an
259
+ earlier run.
260
+
261
+ ### Reference results
262
+
263
+ The Weaviate Query Agent, run once on the 250 queries with the same code and
264
+ filter statistics, before and after a prompt revision made from failures on
265
+ separate training environments (not released).
266
+
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+ | Environment | Before revision | After revision |
268
+ |---|---:|---:|
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+ | Public Transit | 40/50 | 49/50 |
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+ | Tattoo Studios | 34/50 | 47/50 |
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+ | Nonprofits | 34/50 | 48/50 |
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+ | Surf Schools | 40/50 | 50/50 |
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+ | Childcare | 36/50 | 45/50 |
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+ | **Total** | **184/250 (73.6%)** | **239/250 (95.6%)** |
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+
276
+ ## How the data was made
277
+
278
+ Each environment is a position in a seeded order over 200 domain briefs (seed
279
+ 380, positions 5 to 9). Its structure is sampled procedurally: the number and
280
+ kind of collections, property types, references, and each query's operator
281
+ plan. Language models write the surface: the schema design (GPT-6 Sol),
282
+ record names and documents (GPT-6 Luna), search topics and their relevance
283
+ labels, and the natural-language commands (GPT-5.6 Luna). Ground truths are
284
+ grounded in the saved objects and every command passes mechanical checks and
285
+ a faithfulness verifier, so the plan can be recovered from the words. Each set
286
+ of 50 queries is selected from a pool of 200 sampled plans so that every
287
+ operator class appears at least 3 times, which makes the sets balanced across
288
+ operators rather than distributed like natural traffic. A seeded coin chose
289
+ each command's phrasing, giving 113 explicit and 137 conversational commands.
290
+
291
+ ## Limitations
292
+
293
+ - All data is synthetic and English only. Entities are invented, so an agent
294
+ cannot answer from world knowledge, and documents are written as a real
295
+ system of record would write them.
296
+ - Values are drawn independently, so a record can combine values that would
297
+ rarely co-occur in reality (a fin set tagged for zipper care). Documents are
298
+ written to stay consistent with each record's values.
299
+ - Public Transit has no group-by queries. Its only groupable properties are
300
+ references with over 400 distinct values, which yield degenerate groups.
301
+ - Relevance labels for searches come from a language model reading each
302
+ candidate document, not from human annotation.
303
+ - Search topics can repeat a theme within an environment, and two Tattoo
304
+ Studios design searches share the phrase "melting snow".
305
+ - The query sets exclude what the Weaviate Query Agent cannot express, such as
306
+ aggregating over the results of a semantic search.
307
+
308
+ ## Citation
309
+
310
+ ```bibtex
311
+ @misc{query_agent_gym_2026,
312
+ title = {Query Agent Gym: Post-Training our Query Agent},
313
+ author = {Shorten, Connor},
314
+ year = {2026},
315
+ url = {https://weaviate.io/blog/query-agent-gym}
316
+ }
317
+
318
+ @article{shorten2025querying,
319
+ title = {Querying Databases with Function Calling},
320
+ author = {Shorten, Connor and others},
321
+ journal = {arXiv preprint arXiv:2502.00032},
322
+ year = {2025}
323
+ }
324
+ ```
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1
+ {
2
+ "use_case": "Childcare",
3
+ "overview": "A childcare service coordinating daycare centers, staff, and enrollments.",
4
+ "collections": [
5
+ {
6
+ "name": "DaycareCenters",
7
+ "description": "DaycareCenters holds the service's named childcare locations and their programs.",
8
+ "properties": [
9
+ {
10
+ "name": "programDescription",
11
+ "data_type": "searchable_text",
12
+ "description": "Describes a center's learning activities, care approach, and facilities.",
13
+ "sample_values": [
14
+ "outdoor nature play",
15
+ "bilingual story time",
16
+ "sensory learning spaces",
17
+ "garden-based activities"
18
+ ]
19
+ },
20
+ {
21
+ "name": "centerName",
22
+ "data_type": "filterable_text",
23
+ "description": "The name families and staff use to identify the center.",
24
+ "sample_values": [],
25
+ "is_identifier": true
26
+ },
27
+ {
28
+ "name": "acceptingEnrollments",
29
+ "data_type": "boolean",
30
+ "description": "Indicates whether the center is accepting new enrollment requests.",
31
+ "sample_values": []
32
+ },
33
+ {
34
+ "name": "providesMeals",
35
+ "data_type": "boolean",
36
+ "description": "Indicates whether the center provides meals during care.",
37
+ "sample_values": []
38
+ },
39
+ {
40
+ "name": "ageGroups",
41
+ "data_type": "text_array",
42
+ "description": "Lists the age groups served by the center.",
43
+ "sample_values": [
44
+ "infants",
45
+ "toddlers",
46
+ "preschoolers",
47
+ "pre-K"
48
+ ]
49
+ },
50
+ {
51
+ "name": "programFeatures",
52
+ "data_type": "text_array",
53
+ "description": "Lists features offered as part of the center's programs.",
54
+ "sample_values": [
55
+ "outdoor play",
56
+ "music",
57
+ "bilingual activities",
58
+ "sensory play"
59
+ ]
60
+ },
61
+ {
62
+ "name": "supportedLanguages",
63
+ "data_type": "text_array",
64
+ "description": "Lists languages supported in the center's daily communication.",
65
+ "sample_values": [
66
+ "English",
67
+ "Spanish",
68
+ "Mandarin",
69
+ "French"
70
+ ]
71
+ },
72
+ {
73
+ "name": "accessibilityFeatureChecks",
74
+ "data_type": "boolean_array",
75
+ "description": "Each flag indicates whether an assessed accessibility feature is available at the center.",
76
+ "sample_values": []
77
+ },
78
+ {
79
+ "name": "plannedClosureDates",
80
+ "data_type": "date_array",
81
+ "description": "Lists dates when the center plans to close for holidays or staff development.",
82
+ "sample_values": [
83
+ "2026-11-26",
84
+ "2026-11-27",
85
+ "2026-12-25",
86
+ "2027-01-01"
87
+ ]
88
+ }
89
+ ]
90
+ },
91
+ {
92
+ "name": "ChildcareStaff",
93
+ "description": "ChildcareStaff holds named caregivers and educators available to work across the service.",
94
+ "properties": [
95
+ {
96
+ "name": "careExperience",
97
+ "data_type": "searchable_text",
98
+ "description": "Describes a staff member's childcare experience and teaching strengths.",
99
+ "sample_values": [
100
+ "infant care routines",
101
+ "inclusive preschool activities",
102
+ "toddler language development",
103
+ "outdoor learning facilitation"
104
+ ]
105
+ },
106
+ {
107
+ "name": "staffName",
108
+ "data_type": "filterable_text",
109
+ "description": "The name used to identify the staff member.",
110
+ "sample_values": [],
111
+ "is_identifier": true
112
+ },
113
+ {
114
+ "name": "yearsOfExperience",
115
+ "data_type": "int",
116
+ "description": "The number of completed years the staff member has worked in childcare.",
117
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118
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119
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120
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121
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122
+ 22
123
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124
+ },
125
+ {
126
+ "name": "qualifications",
127
+ "data_type": "text_array",
128
+ "description": "Lists the staff member's childcare qualifications and training.",
129
+ "sample_values": [
130
+ "first aid",
131
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132
+ "early childhood diploma",
133
+ "food safety",
134
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135
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136
+ },
137
+ {
138
+ "name": "openingShiftChecks",
139
+ "data_type": "boolean_array",
140
+ "description": "Each flag indicates whether the staff member is available for an assessed opening shift.",
141
+ "sample_values": []
142
+ },
143
+ {
144
+ "name": "closingShiftChecks",
145
+ "data_type": "boolean_array",
146
+ "description": "Each flag indicates whether the staff member is available for an assessed closing shift.",
147
+ "sample_values": []
148
+ },
149
+ {
150
+ "name": "substituteShiftChecks",
151
+ "data_type": "boolean_array",
152
+ "description": "Each flag indicates whether the staff member is willing to cover an assessed substitute shift.",
153
+ "sample_values": []
154
+ },
155
+ {
156
+ "name": "preferredWeeklyHours",
157
+ "data_type": "int_array",
158
+ "description": "Lists weekly hour totals the staff member is willing to work.",
159
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162
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163
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164
+ 40
165
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166
+ }
167
+ ]
168
+ },
169
+ {
170
+ "name": "ChildEnrollments",
171
+ "description": "ChildEnrollments records each child's enrollment at a daycare center.",
172
+ "properties": [
173
+ {
174
+ "name": "enrollmentCode",
175
+ "data_type": "filterable_text",
176
+ "description": "The short code used to identify and discuss an enrollment record.",
177
+ "sample_values": [
178
+ "ENR-000101",
179
+ "ENR-000102",
180
+ "ENR-000103",
181
+ "ENR-000104",
182
+ "ENR-000105",
183
+ "ENR-000106",
184
+ "ENR-000107",
185
+ "ENR-000108",
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+ "ENR-000109",
187
+ "ENR-000110"
188
+ ],
189
+ "is_identifier": true
190
+ },
191
+ {
192
+ "name": "centerName",
193
+ "data_type": "filterable_text",
194
+ "description": "The name of the daycare center where the child is enrolled.",
195
+ "sample_values": [],
196
+ "references": "DaycareCenters"
197
+ },
198
+ {
199
+ "name": "childAgeMonths",
200
+ "data_type": "int",
201
+ "description": "The child's age in completed months when the enrollment begins.",
202
+ "sample_values": [
203
+ 6,
204
+ 12,
205
+ 24,
206
+ 36,
207
+ 48,
208
+ 60
209
+ ]
210
+ },
211
+ {
212
+ "name": "startDate",
213
+ "data_type": "date",
214
+ "description": "The date the child's care at the center begins.",
215
+ "sample_values": [
216
+ "2026-10-12",
217
+ "2026-11-02",
218
+ "2027-01-04",
219
+ "2027-03-15"
220
+ ]
221
+ }
222
+ ],
223
+ "kind": "transactional"
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+ }
225
+ ]
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+ }
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+ "use_case": "Nonprofits",
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+ "overview": "A nonprofit platform coordinating charities, campaigns, and donations.",
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+ "collections": [
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+ {
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+ "name": "Charities",
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+ "description": "Nonprofit organizations that run fundraising campaigns on the platform.",
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+ "properties": [
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+ {
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+ "name": "missionDescription",
11
+ "data_type": "searchable_text",
12
+ "description": "Describes the charity’s mission, programs, and communities served.",
13
+ "sample_values": [
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+ "rural food access",
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+ "youth literacy programs",
16
+ "coastal habitat restoration",
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+ "emergency family housing"
18
+ ]
19
+ },
20
+ {
21
+ "name": "charityName",
22
+ "data_type": "filterable_text",
23
+ "description": "The name by which supporters identify the charity.",
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+ "sample_values": [],
25
+ "is_identifier": true
26
+ },
27
+ {
28
+ "name": "causeCategory",
29
+ "data_type": "filterable_text",
30
+ "description": "The charity’s primary area of work.",
31
+ "sample_values": [
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+ "Food Security",
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+ "Education",
34
+ "Environment",
35
+ "Housing",
36
+ "Health"
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+ ]
38
+ },
39
+ {
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+ "name": "foundingYear",
41
+ "data_type": "int",
42
+ "description": "The year the charity was founded.",
43
+ "sample_values": [
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45
+ 1991,
46
+ 2004,
47
+ 2015,
48
+ 2022
49
+ ]
50
+ },
51
+ {
52
+ "name": "annualOperatingBudgetUsd",
53
+ "data_type": "number",
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+ "description": "The charity’s annual operating budget in US dollars.",
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+ "sample_values": [
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+ 240000.0,
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+ 850000.0,
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+ 3200000.0,
60
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+ ]
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+ },
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+ {
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+ "name": "suggestedDonationAmountsUsd",
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+ "data_type": "number_array",
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+ "description": "Donation amounts in US dollars that the charity suggests to supporters.",
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+ "sample_values": [
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+ 100.0,
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+ 250.0
73
+ ]
74
+ }
75
+ ]
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+ },
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+ {
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+ "name": "Campaigns",
79
+ "description": "Named fundraising initiatives that explain specific needs and ways to help.",
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+ "properties": [
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+ {
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+ "name": "campaignStory",
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+ "data_type": "searchable_text",
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+ "description": "Explains the need the campaign addresses and the change it seeks to make.",
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+ "sample_values": [
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+ "school meal gaps",
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+ "community reading corners",
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+ "storm-damaged wetlands",
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+ "temporary shelter beds"
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+ ]
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+ },
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+ {
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+ "name": "impactPlan",
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+ "data_type": "searchable_text",
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+ "description": "Describes how campaign funds are expected to produce measurable benefits.",
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+ "sample_values": [
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+ "weekend meal kits",
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+ "classroom book collections",
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+ "native shoreline planting",
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+ "family shelter nights"
101
+ ]
102
+ },
103
+ {
104
+ "name": "campaignTitle",
105
+ "data_type": "filterable_text",
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+ "description": "The title supporters use to identify the campaign.",
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+ "sample_values": [],
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+ "is_identifier": true
109
+ },
110
+ {
111
+ "name": "campaignStatus",
112
+ "data_type": "filterable_text",
113
+ "description": "The campaign’s current fundraising status.",
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+ "sample_values": [
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+ "Draft",
116
+ "Active",
117
+ "Paused",
118
+ "Funded",
119
+ "Closed"
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+ ]
121
+ },
122
+ {
123
+ "name": "acceptsRecurringGifts",
124
+ "data_type": "boolean",
125
+ "description": "Indicates whether supporters may set up recurring donations to the campaign.",
126
+ "sample_values": []
127
+ },
128
+ {
129
+ "name": "causeTags",
130
+ "data_type": "text_array",
131
+ "description": "Labels for the causes addressed by the campaign.",
132
+ "sample_values": [
133
+ "food access",
134
+ "literacy",
135
+ "conservation",
136
+ "housing stability",
137
+ "public health"
138
+ ]
139
+ },
140
+ {
141
+ "name": "beneficiaryTags",
142
+ "data_type": "text_array",
143
+ "description": "Labels for the people or communities the campaign aims to help.",
144
+ "sample_values": [
145
+ "schoolchildren",
146
+ "families",
147
+ "seniors",
148
+ "rural residents",
149
+ "coastal communities"
150
+ ]
151
+ }
152
+ ]
153
+ },
154
+ {
155
+ "name": "GivingPrograms",
156
+ "description": "Named donation programs that define how supporters can give across the platform.",
157
+ "properties": [
158
+ {
159
+ "name": "programDescription",
160
+ "data_type": "searchable_text",
161
+ "description": "Explains the program’s giving approach and intended impact.",
162
+ "sample_values": [
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+ "monthly food assistance",
164
+ "workplace donation matching",
165
+ "emergency relief reserve",
166
+ "year-end education fund"
167
+ ]
168
+ },
169
+ {
170
+ "name": "programName",
171
+ "data_type": "filterable_text",
172
+ "description": "The name supporters use to identify the giving program.",
173
+ "sample_values": [],
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+ "is_identifier": true
175
+ },
176
+ {
177
+ "name": "recurringEnrollmentAvailable",
178
+ "data_type": "boolean",
179
+ "description": "Indicates whether supporters can enroll in repeated giving through the program.",
180
+ "sample_values": []
181
+ },
182
+ {
183
+ "name": "employerMatchEligible",
184
+ "data_type": "boolean",
185
+ "description": "Indicates whether gifts through the program qualify for an employer matching process.",
186
+ "sample_values": []
187
+ },
188
+ {
189
+ "name": "launchDate",
190
+ "data_type": "date",
191
+ "description": "The date the giving program became available to supporters.",
192
+ "sample_values": [
193
+ "2021-03-15",
194
+ "2022-09-01",
195
+ "2024-01-10",
196
+ "2025-06-20"
197
+ ]
198
+ },
199
+ {
200
+ "name": "suggestedGiftAmountsUsd",
201
+ "data_type": "number_array",
202
+ "description": "Suggested gift amounts in US dollars for this giving program.",
203
+ "sample_values": [
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205
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206
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207
+ 75.0,
208
+ 150.0
209
+ ]
210
+ }
211
+ ]
212
+ },
213
+ {
214
+ "name": "Donations",
215
+ "description": "Individual donation transactions made to named fundraising campaigns.",
216
+ "properties": [
217
+ {
218
+ "name": "donorMessage",
219
+ "data_type": "searchable_text",
220
+ "description": "Records the donor’s optional message about the reason for giving.",
221
+ "sample_values": [
222
+ "childhood reading memories",
223
+ "local flood recovery",
224
+ "healthy school lunches",
225
+ "safe family shelter"
226
+ ]
227
+ },
228
+ {
229
+ "name": "processingNotes",
230
+ "data_type": "searchable_text",
231
+ "description": "Records relevant context about processing or acknowledging the donation.",
232
+ "sample_values": [
233
+ "workplace match pending",
234
+ "tribute acknowledgment requested",
235
+ "recurring gift renewal",
236
+ "payment retry resolved"
237
+ ]
238
+ },
239
+ {
240
+ "name": "donationCode",
241
+ "data_type": "filterable_text",
242
+ "description": "The short code a supporter or administrator uses to identify the donation.",
243
+ "sample_values": [
244
+ "DON-000001",
245
+ "DON-000002",
246
+ "DON-000003",
247
+ "DON-000004",
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+ "DON-000005",
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+ "DON-000006",
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+ "DON-000007",
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+ "DON-000008",
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+ "DON-000009",
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+ "DON-000010"
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+ ],
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+ "is_identifier": true
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+ },
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+ {
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+ "name": "campaignTitle",
259
+ "data_type": "filterable_text",
260
+ "description": "The title of the campaign receiving the donation.",
261
+ "sample_values": [],
262
+ "references": "Campaigns"
263
+ },
264
+ {
265
+ "name": "totalAmountUsd",
266
+ "data_type": "number",
267
+ "description": "The total amount charged for the donation in US dollars.",
268
+ "sample_values": [
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+ 10.0,
270
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271
+ 50.0,
272
+ 125.0,
273
+ 500.0
274
+ ]
275
+ },
276
+ {
277
+ "name": "allocationAmountsUsd",
278
+ "data_type": "number_array",
279
+ "description": "The amounts in US dollars allocated to the donation’s recorded funding portions.",
280
+ "sample_values": [
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+ 5.0,
282
+ 10.0,
283
+ 25.0,
284
+ 50.0,
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+ 100.0
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+ ]
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+ }
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+ ],
289
+ "kind": "transactional"
290
+ }
291
+ ]
292
+ }
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+ "overview": "A transit agency managing routes, vehicles, and ridership.",
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+ "collections": [
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+ "name": "TransitRoutes",
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+ "description": "Persistent transit routes operated by the agency.",
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+ "properties": [
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+ "name": "routeDescription",
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+ "data_type": "searchable_text",
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+ "description": "Describes the route's corridor, major stops, and communities served.",
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+ "sample_values": [
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+ "downtown hospital corridor",
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+ "university campus connection",
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+ "airport express service",
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+ "suburban rail connection"
19
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+ },
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+ {
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+ "name": "routeName",
23
+ "data_type": "filterable_text",
24
+ "description": "The public-facing name of the transit route.",
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+ "sample_values": [],
26
+ "is_identifier": true
27
+ },
28
+ {
29
+ "name": "scheduledDepartureHours",
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+ "data_type": "int_array",
31
+ "description": "The hours of the day, in 24-hour time, when scheduled departures occur.",
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+ "sample_values": [
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+ 5,
34
+ 7,
35
+ 12,
36
+ 17,
37
+ 23
38
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+ {
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+ "name": "stopSequenceNumbers",
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+ "data_type": "int_array",
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+ "description": "The ordinal positions of stops served along the route.",
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46
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47
+ 8,
48
+ 13,
49
+ 21
50
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51
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52
+ ]
53
+ },
54
+ {
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+ "name": "RidershipReports",
56
+ "description": "Daily ridership reports for a transit route and a comparison route.",
57
+ "properties": [
58
+ {
59
+ "name": "reportCode",
60
+ "data_type": "filterable_text",
61
+ "description": "The unique code used to identify a daily ridership report.",
62
+ "sample_values": [
63
+ "RID-000001",
64
+ "RID-000002",
65
+ "RID-000003",
66
+ "RID-000004",
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+ "RID-000005",
68
+ "RID-000006",
69
+ "RID-000007",
70
+ "RID-000008",
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+ "RID-000009",
72
+ "RID-000010"
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74
+ "is_identifier": true
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76
+ {
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+ "name": "routeName",
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+ "data_type": "filterable_text",
79
+ "description": "The public-facing name of the route whose boardings are reported.",
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+ "sample_values": [],
81
+ "references": "TransitRoutes"
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+ },
83
+ {
84
+ "name": "comparisonRouteName",
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+ "data_type": "filterable_text",
86
+ "description": "The public-facing name of the route used for comparison in the report.",
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+ "sample_values": [],
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+ "references": "TransitRoutes"
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+ },
90
+ {
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+ "name": "boardings",
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+ "data_type": "int",
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+ "description": "The total number of passenger boardings recorded for the reported route on the service date.",
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+ "sample_values": [
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+ 42,
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+ {
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+ "name": "serviceDate",
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+ "data_type": "date",
105
+ "description": "The calendar date of the reported transit service.",
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108
+ "2025-04-10",
109
+ "2025-08-22",
110
+ "2026-02-03",
111
+ "2026-09-18"
112
+ ]
113
+ },
114
+ {
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+ "name": "vehicleAccessibilityChecks",
116
+ "data_type": "boolean_array",
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+ "description": "Each flag indicates whether an observed vehicle accessibility check passed.",
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+ "sample_values": []
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+ },
120
+ {
121
+ "name": "fareEquipmentChecks",
122
+ "data_type": "boolean_array",
123
+ "description": "Each flag indicates whether an observed fare-equipment check passed.",
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+ "sample_values": []
125
+ },
126
+ {
127
+ "name": "departurePunctualityChecks",
128
+ "data_type": "boolean_array",
129
+ "description": "Each flag indicates whether an observed departure met the agency's punctuality standard.",
130
+ "sample_values": []
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+ }
132
+ ],
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+ "kind": "transactional"
134
+ }
135
+ ]
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+ }
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+ {
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+ "use_case": "Surf Schools",
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+ "overview": "A surf school managing beaches, instructors, and lesson bookings.",
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+ "collections": [
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+ {
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+ "name": "SurfBeaches",
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+ "description": "Persistent beach locations used by the surf school for instruction.",
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+ "properties": [
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+ {
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+ "name": "waveConditions",
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+ "data_type": "searchable_text",
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+ "description": "Describes the beach's typical wave behavior and suitable conditions.",
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+ "sample_values": [
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+ "gentle rolling waves",
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+ "consistent beach breaks",
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+ "sheltered beginner waves",
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+ "steep shore breaks"
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+ ]
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+ {
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+ "name": "shoreAccess",
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+ "data_type": "searchable_text",
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+ "description": "Describes access to the water and facilities near the beach.",
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+ "sample_values": [
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+ "sandy shoreline access",
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+ "nearby public showers",
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+ "accessible beach path",
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+ "shaded meeting area"
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+ ]
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+ },
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+ {
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+ "name": "safetyConsiderations",
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+ "data_type": "searchable_text",
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+ "description": "Describes recurring hazards and safety considerations at the beach.",
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+ "sample_values": [
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+ "seasonal rip currents",
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+ "rocky reef edges",
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+ "lifeguard patrol area",
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+ "shallow sandbars"
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+ ]
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+ },
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+ {
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+ "name": "beachName",
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+ "data_type": "filterable_text",
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+ "description": "The beach's human-readable name.",
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+ "sample_values": [],
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+ "is_identifier": true
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+ },
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+ {
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+ "name": "coastalArea",
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+ "data_type": "filterable_text",
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+ "description": "The coastal area containing the beach.",
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+ "sample_values": [
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+ "North Shore",
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+ "South Coast",
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+ "Harbor Coast",
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+ "West Bay",
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+ "East Peninsula"
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+ ]
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+ },
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+ {
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+ "name": "suitableAges",
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+ "data_type": "int_array",
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+ "description": "Ages for which the beach is generally suitable for supervised surf instruction.",
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+ "sample_values": [
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+ 8,
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+ 12,
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+ 16,
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+ 25,
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+ 40
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+ ]
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+ },
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+ {
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+ "name": "typicalWaveHeightsMeters",
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+ "data_type": "number_array",
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+ "description": "Representative wave heights in meters under commonly encountered conditions.",
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+ "sample_values": [
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+ 0.3,
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+ 0.6,
80
+ 0.9,
81
+ 1.2,
82
+ 1.8
83
+ ]
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+ }
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+ ]
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+ },
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+ {
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+ "name": "SurfInstructors",
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+ "description": "Instructors employed by the surf school to teach lessons.",
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+ "properties": [
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+ {
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+ "name": "teachingApproach",
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+ "data_type": "searchable_text",
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+ "description": "Describes the instructor's teaching strengths and approach.",
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+ "sample_values": [
96
+ "patient first wave coaching",
97
+ "youth surf instruction",
98
+ "paddling technique guidance",
99
+ "intermediate wave selection"
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+ ]
101
+ },
102
+ {
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+ "name": "instructorName",
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+ "data_type": "filterable_text",
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+ "description": "The instructor's human-readable name.",
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+ "sample_values": [],
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+ "is_identifier": true
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+ },
109
+ {
110
+ "name": "hireDate",
111
+ "data_type": "date",
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+ "description": "The date the instructor joined the surf school.",
113
+ "sample_values": [
114
+ "2017-03-15",
115
+ "2019-06-01",
116
+ "2021-09-20",
117
+ "2023-04-10"
118
+ ]
119
+ },
120
+ {
121
+ "name": "certificationExpiryDate",
122
+ "data_type": "date",
123
+ "description": "The expiry date of the instructor's current surf instruction certification.",
124
+ "sample_values": [
125
+ "2027-01-31",
126
+ "2027-08-15",
127
+ "2028-05-20",
128
+ "2029-02-28"
129
+ ]
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+ },
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+ {
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+ "name": "teachingSpecialties",
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+ "data_type": "text_array",
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+ "description": "Types of surf instruction the instructor specializes in.",
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+ "sample_values": [
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+ "beginners",
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+ "children",
138
+ "longboarding",
139
+ "wave reading",
140
+ "adaptive surfing"
141
+ ]
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+ },
143
+ {
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+ "name": "studentAgeGroups",
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+ "data_type": "int_array",
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+ "description": "Ages of students the instructor is qualified to teach.",
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+ "sample_values": [
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+ 8,
149
+ 12,
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+ 16,
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+ 25,
152
+ 40
153
+ ]
154
+ }
155
+ ]
156
+ },
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+ {
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+ "name": "LessonPrograms",
159
+ "description": "Persistent lesson offerings that define the surf school's instructional programs.",
160
+ "properties": [
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+ {
162
+ "name": "curriculum",
163
+ "data_type": "searchable_text",
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+ "description": "Describes the surfing skills and concepts taught in the program.",
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+ "sample_values": [
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+ "first pop up technique",
167
+ "ocean safety fundamentals",
168
+ "turning on green waves",
169
+ "independent wave selection"
170
+ ]
171
+ },
172
+ {
173
+ "name": "equipmentGuidance",
174
+ "data_type": "searchable_text",
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+ "description": "Describes the boards and other equipment suited to the program.",
176
+ "sample_values": [
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+ "soft top surfboards",
178
+ "beginner board sizing",
179
+ "longboard balance practice",
180
+ "wetsuit fitting guidance"
181
+ ]
182
+ },
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+ {
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+ "name": "programTitle",
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+ "data_type": "filterable_text",
186
+ "description": "The lesson program's human-readable title.",
187
+ "sample_values": [],
188
+ "is_identifier": true
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+ },
190
+ {
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+ "name": "durationMinutes",
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+ "data_type": "int",
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+ "description": "The length in minutes of a standard lesson in the program.",
194
+ "sample_values": [
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+ 60,
196
+ 75,
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+ 90,
198
+ 120,
199
+ 150
200
+ ]
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+ },
202
+ {
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+ "name": "maximumStudents",
204
+ "data_type": "int",
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+ "description": "The maximum number of students permitted in a lesson.",
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+ "sample_values": [
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+ 1,
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+ 2,
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+ 4,
210
+ 6,
211
+ 8
212
+ ]
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+ },
214
+ {
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+ "name": "packagePrices",
216
+ "data_type": "number_array",
217
+ "description": "Prices in dollars for the program's available lesson packages.",
218
+ "sample_values": [
219
+ 65.0,
220
+ 95.0,
221
+ 180.0,
222
+ 275.0,
223
+ 420.0
224
+ ]
225
+ },
226
+ {
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+ "name": "seasonAvailabilityDates",
228
+ "data_type": "date_array",
229
+ "description": "Published dates on which the program is offered during the current season.",
230
+ "sample_values": [
231
+ "2027-04-03",
232
+ "2027-05-15",
233
+ "2027-07-10",
234
+ "2027-09-04"
235
+ ]
236
+ }
237
+ ]
238
+ },
239
+ {
240
+ "name": "SurfEquipment",
241
+ "description": "Reusable surfboards and other named equipment assets maintained by the surf school.",
242
+ "properties": [
243
+ {
244
+ "name": "equipmentDescription",
245
+ "data_type": "searchable_text",
246
+ "description": "Describes the asset's construction, handling characteristics, and intended use.",
247
+ "sample_values": [
248
+ "stable beginner surfboard",
249
+ "lightweight foam construction",
250
+ "maneuverable intermediate board",
251
+ "flexible training fins"
252
+ ]
253
+ },
254
+ {
255
+ "name": "assetName",
256
+ "data_type": "filterable_text",
257
+ "description": "The equipment asset's human-readable name.",
258
+ "sample_values": [],
259
+ "is_identifier": true
260
+ },
261
+ {
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+ "name": "equipmentCategory",
263
+ "data_type": "filterable_text",
264
+ "description": "The asset's equipment category.",
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+ "sample_values": [
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+ "Surfboard",
267
+ "Wetsuit",
268
+ "Bodyboard",
269
+ "Leash",
270
+ "Fin Set"
271
+ ]
272
+ },
273
+ {
274
+ "name": "replacementCost",
275
+ "data_type": "number",
276
+ "description": "The estimated replacement cost of the asset in dollars.",
277
+ "sample_values": [
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+ 25.0,
279
+ 80.0,
280
+ 175.0,
281
+ 320.0,
282
+ 650.0
283
+ ]
284
+ },
285
+ {
286
+ "name": "weightKilograms",
287
+ "data_type": "number",
288
+ "description": "The asset's weight in kilograms.",
289
+ "sample_values": [
290
+ 0.2,
291
+ 0.7,
292
+ 1.5,
293
+ 3.8,
294
+ 6.5
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+ ]
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+ },
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+ {
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+ "name": "skillLevelTags",
299
+ "data_type": "text_array",
300
+ "description": "Surfer skill levels for which the asset is suitable.",
301
+ "sample_values": [
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+ "first-timer",
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+ "beginner",
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+ "intermediate",
305
+ "advanced"
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+ ]
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+ },
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+ {
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+ "name": "materialTags",
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+ "data_type": "text_array",
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+ "description": "Materials used in the asset's construction.",
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+ "sample_values": [
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+ "foam",
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+ "fiberglass",
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+ "epoxy",
316
+ "neoprene",
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+ "nylon"
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+ ]
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+ },
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+ {
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+ "name": "careTags",
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+ "data_type": "text_array",
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+ "description": "Handling and care requirements applicable to the asset.",
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+ "sample_values": [
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+ "freshwater rinse",
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+ "shade storage",
327
+ "wax removal",
328
+ "zipper care",
329
+ "fin inspection"
330
+ ]
331
+ },
332
+ {
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+ "name": "inspectionChecks",
334
+ "data_type": "boolean_array",
335
+ "description": "Each flag indicates whether an independently recorded equipment inspection check passed.",
336
+ "sample_values": []
337
+ },
338
+ {
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+ "name": "plannedMaintenanceDates",
340
+ "data_type": "date_array",
341
+ "description": "Dates planned for preventive maintenance of the asset.",
342
+ "sample_values": [
343
+ "2027-03-01",
344
+ "2027-05-01",
345
+ "2027-07-01",
346
+ "2027-09-01"
347
+ ]
348
+ }
349
+ ]
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+ }
351
+ ]
352
+ }
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1
+ {
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+ "use_case": "Tattoo Studios",
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+ "overview": "A tattoo studio network managing artists, designs, and appointments.",
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+ "collections": [
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+ {
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+ "name": "TattooArtists",
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+ "description": "Artists working across the tattoo studio network, including their specialties and pricing.",
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+ "properties": [
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+ {
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+ "name": "artistProfile",
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+ "data_type": "searchable_text",
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+ "description": "Describes the artist’s techniques, preferred subjects, and approach to collaborating with clients.",
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+ "sample_values": [
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+ "delicate botanical linework",
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+ "bold traditional flash",
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+ "blackwork geometric patterns",
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+ "watercolor animal portraits",
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+ "ornamental sleeve designs"
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+ ]
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+ },
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+ {
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+ "name": "artistName",
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+ "data_type": "filterable_text",
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+ "description": "The name clients use to identify and request the artist.",
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+ "sample_values": [],
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+ "is_identifier": true
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+ {
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+ "name": "yearsExperience",
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+ "data_type": "int",
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+ "description": "The artist’s completed years of professional tattooing experience.",
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+ "sample_values": [
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+ 1,
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+ 6,
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+ 12,
37
+ 20
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+ ]
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+ },
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+ {
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+ "name": "networkStartDate",
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+ "data_type": "date",
43
+ "description": "The date the artist joined the studio network.",
44
+ "sample_values": [
45
+ "2018-04-16",
46
+ "2020-09-01",
47
+ "2022-02-14",
48
+ "2024-06-10",
49
+ "2026-01-05"
50
+ ]
51
+ },
52
+ {
53
+ "name": "specialties",
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+ "data_type": "text_array",
55
+ "description": "Tattoo styles and subjects the artist offers.",
56
+ "sample_values": [
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+ "fine line",
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+ "traditional",
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+ "blackwork",
60
+ "watercolor",
61
+ "botanical"
62
+ ]
63
+ },
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+ {
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+ "name": "hourlyRates",
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+ "data_type": "number_array",
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+ "description": "Hourly rates in dollars for the artist’s available session offerings.",
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+ "sample_values": [
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+ 100.0,
70
+ 125.0,
71
+ 150.0,
72
+ 185.0,
73
+ 225.0
74
+ ]
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+ },
76
+ {
77
+ "name": "sessionDeposits",
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+ "data_type": "number_array",
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+ "description": "Deposit amounts in dollars accepted for the artist’s available session offerings.",
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+ "sample_values": [
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+ 50.0,
82
+ 75.0,
83
+ 100.0,
84
+ 150.0,
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+ 200.0
86
+ ]
87
+ }
88
+ ]
89
+ },
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+ {
91
+ "name": "TattooDesigns",
92
+ "description": "Tattoo concepts offered by network artists for clients to discuss and book.",
93
+ "properties": [
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+ {
95
+ "name": "designDescription",
96
+ "data_type": "searchable_text",
97
+ "description": "Describes the design’s imagery, style, placement possibilities, and its association with an artist.",
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+ "sample_values": [
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+ "botanical forearm wrap",
100
+ "traditional swallow pair",
101
+ "geometric mountain landscape",
102
+ "watercolor fox portrait",
103
+ "ornamental shoulder piece"
104
+ ]
105
+ },
106
+ {
107
+ "name": "designTitle",
108
+ "data_type": "filterable_text",
109
+ "description": "The title clients and artists use to identify the design.",
110
+ "sample_values": [],
111
+ "is_identifier": true
112
+ },
113
+ {
114
+ "name": "placementSuitabilityFlags",
115
+ "data_type": "boolean_array",
116
+ "description": "Each flag indicates whether a placement considered for the design is suitable.",
117
+ "sample_values": []
118
+ },
119
+ {
120
+ "name": "sizeEstimatesCm",
121
+ "data_type": "number_array",
122
+ "description": "Estimated dimensions in centimeters for sizes in which the design can be tattooed.",
123
+ "sample_values": [
124
+ 5.0,
125
+ 8.5,
126
+ 12.0,
127
+ 18.0,
128
+ 25.0
129
+ ]
130
+ }
131
+ ]
132
+ }
133
+ ]
134
+ }