---
license: mit
task_categories:
  - text-generation
tags:
  - knowledge-graph
  - tool-calling
  - trajectories
size_categories:
  - 1M<n<10M
configs:
  - config_name: triplets
    data_files: triplets_all.jsonl
    default: true
  - config_name: trajectories_query_relations
    data_files: trajectories_query_relations_1m.jsonl
  - config_name: trajectories_get_neighbors
    data_files: trajectories_get_neighbors_1m.jsonl
  - config_name: paths
    data_files: paths_1m.jsonl
---

# WikiKG Trajectories

2M tool-calling trajectories + 366k triplets from Wikipedia knowledge graph.

## Configurations

| Config | Records | Size | Description |
|--------|---------|------|-------------|
| `triplets` (default) | 365,923 | 30 MB | Subject-relation-object triplets |
| `trajectories_query_relations` | 1,000,000 | 5.1 GB | Tool-call conversations (query_relations style) |
| `trajectories_get_neighbors` | 1,000,000 | 5.0 GB | Tool-call conversations (get_neighbors style) |
| `paths` | 1,500,000 | 230 MB | Random walk paths through the graph |

## Tool-Calling Styles

Each trajectory is a multi-turn conversation where an LLM calls tools to traverse the knowledge graph:

- **query_relations**: Calls `query_relations(subject, obj, rel_type)` to filter triplets by entity/relation
- **get_neighbors**: Calls `get_neighbors(entity, direction)` for graph exploration

## Example Trajectory

```json
{
  "messages": [
    {"role": "user", "content": "Starting from Einstein, follow FIELD_OF forward, then STUDIED_BY backward. What's the final entity?"},
    {"role": "assistant", "tool_calls": [{"function": {"name": "query_relations", "arguments": "{\"subject\": \"Einstein\", \"rel_type\": \"FIELD_OF\"}"}}]},
    {"role": "tool", "content": "[{\"subject\": \"Einstein\", \"relation\": \"FIELD_OF\", \"object\": \"Physics\"}]"},
    ...
  ],
  "metadata": {
    "path_entities": ["Einstein", "Physics", "Feynman"],
    "path_relations": ["FIELD_OF", "STUDIED_BY"],
    "num_hops": 2
  }
}
```

## Example Triplet

```json
{"subject": "GirardDesargues", "relation": "CREATOR_OF", "object": "DesarguesianPlane"}
```

## Source

Generated from [wiki-kg-dataset](https://huggingface.co/datasets/amanrangapur/wiki-kg-dataset) containing 45,416 Wikipedia articles and 180+ relation types.

## Usage

```python
from datasets import load_dataset

# Load default (triplets)
ds = load_dataset("AutomatedScientist/wikikg-trajectories")

# Load specific config
ds = load_dataset("AutomatedScientist/wikikg-trajectories", "trajectories_query_relations")
ds = load_dataset("AutomatedScientist/wikikg-trajectories", "trajectories_get_neighbors")
ds = load_dataset("AutomatedScientist/wikikg-trajectories", "paths")
```