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The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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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

{
  "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

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

Source

Generated from wiki-kg-dataset containing 45,416 Wikipedia articles and 180+ relation types.

Usage

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")
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