Datasets:
File size: 5,664 Bytes
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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.
|