--- license: apache-2.0 task_categories: - text-generation tags: - web-agent - evaluation - servicenow - workarena pretty_name: ServiceNow Tasks dataset_info: features: - name: benchmark dtype: string - name: task_name dtype: string - name: task_seed dtype: int64 - name: task_config dtype: string - name: goal dtype: string - name: start_url dtype: string - name: validation dtype: string splits: - name: train num_bytes: 3336790 num_examples: 330 download_size: 164187 dataset_size: 3336790 configs: - config_name: default data_files: - split: train path: data/train-* --- # ServiceNow Tasks An evaluation dataset for web agents operating on ServiceNow instances. Each row contains a task goal, a configuration dict, and a standalone Python validation function that scores agent performance by querying the ServiceNow API. Derived from the [WorkArena](https://github.com/ServiceNow/WorkArena) L1 benchmark. ## Dataset overview - **330 samples** across **33 task types** grouped into **8 categories** - Each task has 10 seeded variants - Validators are self-contained Python functions that call the ServiceNow REST API to verify outcomes | Category | Task types | Samples | Description | |---|---|---|---| | `all-menu` | 1 | 10 | Navigate to a specific module via the application menu | | `create` | 5 | 50 | Create a record (incident, change request, hardware asset, problem, user) | | `filter` | 6 | 60 | Apply filters on list views (assets, incidents, users, etc.) | | `sort` | 6 | 60 | Sort list views by one or more columns | | `order` | 9 | 90 | Order items from the hardware service catalog | | `impersonation` | 1 | 10 | Impersonate a specific user | | `knowledge` | 1 | 10 | Answer a question using the knowledge base | | `dashboard` | 4 | 40 | Read values from charts and dashboards | ## Schema | Column | Type | Description | |---|---|---| | `benchmark` | `string` | Benchmark name (`workarena_l1`) | | `task_name` | `string` | Fully qualified task name (e.g. `workarena.servicenow.create-incident`) | | `task_seed` | `int` | Random seed for the task variant | | `task_config` | `string` | JSON-encoded dict with task-specific parameters (expected values, URLs, field names, etc.) | | `goal` | `string` | Natural language instruction shown to the agent | | `start_url` | `string` | URL where the agent should begin | | `validation` | `string` | Python source code of the validator module | ## Validation Each validator module exposes a `validate(messages, config)` function: ```python def validate(messages: List[Dict[str, str]], config: Dict[str, Any]) -> int: """ Args: messages: Conversation history (list of {"role": ..., "content": ...} dicts). The last assistant message is used for answer-based tasks. config: The task_config dict for this sample. Returns: 1 if the task was completed successfully, 0 otherwise. Raises: ValueError: If the task configuration is invalid (not the agent's fault). """ ``` Validators for `create`, `filter`, `sort`, `order`, and `dashboard` tasks call the ServiceNow REST API to verify outcomes. The following environment variables must be set: | Variable | Description | |---|---| | `SERVICENOW_INSTANCE_URL` | Base URL of the ServiceNow instance (e.g. `https://myinstance.service-now.com`) | | `SERVICENOW_INSTANCE_UNAME` | ServiceNow username | | `SERVICENOW_INSTANCE_PWD` | ServiceNow password | | `EXTRA_HTTP_HEADERS` | Optional JSON string of additional headers (e.g. `{"X-Custom": "value"}`) | ### Usage ```python import ast from datasets import load_dataset ds = load_dataset("servicenow-ai/servicenow-tasks") sample = ds["train"][0] config = ast.literal_eval(sample["task_config"]) # Load the validator exec(sample["validation"], globals()) score = validate( messages=[{"role": "assistant", "content": "The answer is 42."}], config=config, ) ``` ## Task categories ### All menu Navigate to a target module (e.g. *Performance Analytics > Indicator Groups*). Validated by checking the final URL against the expected path. ### Create Create a new record on a specific table with prescribed field values. Validated by querying the ServiceNow Table API to check that the record exists with the correct field values. ### Filter Apply AND/OR filters on a list view. Validated by querying the ServiceNow Table API with the expected filter conditions and comparing the result set with the currently displayed list. ### Sort Sort a list view by one or more columns in ascending or descending order. Validated by querying the ServiceNow Table API with the expected sort order and comparing against the displayed list. ### Order Order an item from the service catalog with a specific quantity and configuration. Validated by querying the ServiceNow Table API to check that the catalog request was submitted with the correct item, quantity, and configuration options. ### Impersonation Impersonate a specific user. Validated by checking the ServiceNow session API for the impersonated user. ### Knowledge base search Answer a question using ServiceNow's knowledge base. Validated by checking that the agent's answer contains the expected string (or one of the alternative answers). ### Dashboard / Chart retrieval Read a value, percentage, min, max, mean, median, or mode from a chart on a dashboard or report. Validated by fetching chart data from the ServiceNow Stats API and comparing against the agent's answer. Supports single-series charts, multi-series charts with `chart_series` filtering, and trend charts with time-period bucketing.