Datasets:

HazeLocus
/

ISETrace-Memory-Queries

pretty_name: ISETrace Memory Query Corpus
license: cc-by-4.0
language:
  - en
size_categories:
  - 1K<n<10K
task_categories:
  - question-answering
tags:
  - agent-memory
  - information-retrieval
  - tool-use
  - execution-provenance
configs:
  - config_name: queries
    data_files:
      - split: full
        path: query-authoring/isetrace-v7-raw.jsonl
  - config_name: metadata
    data_files:
      - split: full
        path: query-authoring/isetrace-v7-raw.jsonl.metadata.jsonl

ISETrace Memory Query Corpus

This repository contains the frozen natural-language memory-query corpus used for exact-span retrieval experiments over ISETrace, an execution-grounded corpus of operating-system agent trajectories.

The release contains 6,597 English queries. Each query asks for information recoverable from one trajectory and identifies minimal answer-bearing quotes in stable source sections. Query records and authoring metadata are kept separate so metadata such as query type is not accidentally treated as a retrieval feature.

Files

File	Records	Description
`query-authoring/isetrace-v7-raw.jsonl`	6,597	Frozen four-field memory-query records
`query-authoring/isetrace-v7-raw.jsonl.metadata.jsonl`	6,597	Query-to-trajectory and query-type metadata

The query file has SHA-256 3add2685ea45525d84ba9ed797d658df2d23c29ae0368699a69c348dea39d7f8. The metadata file has SHA-256 30db73bda691d68c6e62495c52d08854ef2007a8a035d0f3e85e128b874c28a0.

Query schema

Each line in isetrace-v7-raw.jsonl has exactly four fields:

{
  "id": "query:...",
  "text": "[I1 | user_intent]...\n\n[A1 | tool_call | ...]...\n\n[E1 | tool_output | ...]...",
  "query": "What information should be recovered from this execution?",
  "gold": [
    {
      "source": "E1",
      "quote": "an exact answer-bearing substring"
    }
  ]
}

I* identifies a user-intent section, A* a tool-call argument section, and E* a tool-output section. Every gold quote occurs exactly once in its named source section. Downstream preparation resolves these quotes to exact character spans in the corresponding ISETrace trajectory.

Metadata schema

Each aligned metadata line contains:

{
  "query_id": "query:...",
  "task_key": "T-...",
  "trajectory_id": "traj_...",
  "memory_mode": "linked_recall"
}

The frozen corpus contains 2,134 direct_recall, 3,004 linked_recall, and 1,459 multi_fact_recall records. memory_mode supports audit and grouped reporting; it is not a retrieval feature or relevance label.

Source data and split construction

The source trajectories are the trajectories configuration of:

Repository: valiere/ISETrace
Revision: e40e04d41c04e4eb4bae181ebdd41b61c688081b
License: CC BY 4.0

The query corpus is intentionally released as one full split. The experiment code assigns whole trajectories, never individual queries, using split seed 13. The frozen full-profile allocation contains:

Experiment split	Trajectories	Queries
train	2,410	3,894
validation	352	580
test	1,207	2,000

This trajectory-level assignment prevents a trajectory from appearing in more than one experiment split. The remaining authored records belong to trajectories outside the fixed allocation.

Loading

from datasets import load_dataset

queries = load_dataset(
    "HazeLocus/ISETrace-Memory-Queries",
    "queries",
    split="full",
)
metadata = load_dataset(
    "HazeLocus/ISETrace-Memory-Queries",
    "metadata",
    split="full",
)
trajectories = load_dataset(
    "valiere/ISETrace",
    "trajectories",
    split="train",
    revision="e40e04d41c04e4eb4bae181ebdd41b61c688081b",
)

The accompanying experiment code downloads both repositories automatically at their pinned revisions when the expected local files are absent.

Construction and validation

Queries were authored by a language model from bounded source packets selected from complete trajectories. Local validation enforces structured output, valid and unique source handles, exact quote grounding, unique query IDs, and exact alignment between query and metadata IDs.

A stratified sample of 500 queries underwent dual-model review, adjudication, and complete human validation. The full 6,597-query corpus was not independently human re-annotated. Users should account for possible query-type noise, lexical cues from authoring, and omitted alternative evidence. This release is a frozen research artifact rather than a claim that every query is human-verified.

Intended use

The corpus supports research on retrieval from completed tool-use trajectories, particularly exact-span evidence recovery under fixed context budgets. It does not evaluate online memory updates, cross-session memory, or agent-to-agent communication. ISETrace personas are synthetic; execution paths and command outputs are preserved from the upstream execution-grounded dataset.

License and attribution

This derived corpus includes excerpts from ISETrace and is released under CC BY 4.0. Users must attribute the upstream ISETrace dataset and indicate that memory queries and exact-quote annotations are derived material.

@misc{isetrace2026,
  title        = {From Intent to Trajectory: Execution-Grounded Multi-Turn Data Synthesis for OS Agents},
  author       = {Valiere01},
  year         = {2026},
  howpublished = {\url{https://github.com/Valiere01/ISE-Trace}}
}