Datasets:
Upload folder using huggingface_hub
Browse files- .gitattributes +4 -0
- .progress_query_relations.json +1 -0
- README.md +71 -0
- paths_1m.jsonl +3 -0
- trajectories_get_neighbors_1m.jsonl +3 -0
- trajectories_query_relations_1m.jsonl +3 -0
- triplets_all.jsonl +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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paths_1m.jsonl filter=lfs diff=lfs merge=lfs -text
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trajectories_get_neighbors_1m.jsonl filter=lfs diff=lfs merge=lfs -text
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trajectories_query_relations_1m.jsonl filter=lfs diff=lfs merge=lfs -text
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triplets_all.jsonl filter=lfs diff=lfs merge=lfs -text
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.progress_query_relations.json
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{"paths": 1500000, "trajectories": 1000000, "trajectory_path_index": 1188402}
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README.md
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---
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license: mit
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task_categories:
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- text-generation
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tags:
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- knowledge-graph
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- tool-calling
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- trajectories
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size_categories:
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- 1M<n<10M
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---
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# WikiKG Trajectories
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2M tool-calling trajectories + 366k triplets from Wikipedia knowledge graph.
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## Files
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| File | Records | Size | Description |
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|------|---------|------|-------------|
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| `paths_1m.jsonl` | 1,500,000 | 230 MB | Random walk paths through the graph |
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| `trajectories_query_relations_1m.jsonl` | 1,000,000 | 5.1 GB | Tool-call conversations (query_relations style) |
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| `trajectories_get_neighbors_1m.jsonl` | 1,000,000 | 5.0 GB | Tool-call conversations (get_neighbors style) |
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| `triplets_all.jsonl` | 365,923 | 30 MB | Subject-relation-object triplets |
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## Tool-Calling Styles
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Each trajectory is a multi-turn conversation where an LLM calls tools to traverse the knowledge graph:
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- **query_relations**: Calls `query_relations(subject, obj, rel_type)` to filter triplets by entity/relation
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- **get_neighbors**: Calls `get_neighbors(entity, direction)` for graph exploration
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## Example Trajectory
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```json
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{
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"messages": [
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{"role": "user", "content": "Starting from Einstein, follow FIELD_OF forward, then STUDIED_BY backward. What's the final entity?"},
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{"role": "assistant", "tool_calls": [{"function": {"name": "query_relations", "arguments": "{\"subject\": \"Einstein\", \"rel_type\": \"FIELD_OF\"}"}}]},
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{"role": "tool", "content": "[{\"subject\": \"Einstein\", \"relation\": \"FIELD_OF\", \"object\": \"Physics\"}]"},
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...
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],
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"metadata": {
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"path_entities": ["Einstein", "Physics", "Feynman"],
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"path_relations": ["FIELD_OF", "STUDIED_BY"],
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"num_hops": 2
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}
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}
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```
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## Example Triplet
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```json
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{"subject": "GirardDesargues", "relation": "CREATOR_OF", "object": "DesarguesianPlane"}
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```
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## Source
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Generated from [wiki-kg-dataset](https://huggingface.co/datasets/amanrangapur/wiki-kg-dataset) containing 45,416 Wikipedia articles and 180+ relation types.
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## Usage
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```python
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from datasets import load_dataset
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# Load trajectories
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ds = load_dataset("YOUR_USERNAME/wikikg-trajectories", data_files="trajectories_query_relations_1m.jsonl")
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# Load triplets
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triplets = load_dataset("YOUR_USERNAME/wikikg-trajectories", data_files="triplets_all.jsonl")
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```
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paths_1m.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:b989c9c898322b4de1ff9c918c70fe7e4c3409b39dc7c620d30a19e5795e5f4b
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size 241308416
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trajectories_get_neighbors_1m.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e414b1b510e92214a0bbf56fed838b6e95d0028cacb161cbc4d759a6393db55
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size 5402603925
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trajectories_query_relations_1m.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:a36e6886127d85a60f054008663f04ee170189e4c3218a92418183cd346acf57
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size 5504772636
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triplets_all.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:52b51d1e23d0d54e9dd7f2f4de1fb1e5f6be77e6fcd34bec6200244cea988dea
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size 31198688
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