Datasets:
task_categories:
- question-answering
language:
- en
tags:
- web-search
- company-search
- agentic-search
- information-retrieval
- entity-retrieval
- multi-constraint
size_categories:
- n<1K
configs:
- config_name: search_only
data_files:
- split: test
path: data/test.jsonl
OB Company Websearch
10 multi-constraint company-discovery questions with a frozen, hand-labelled reference set. The public set accompanies the OpenBenchmarks Multi Turn Company Search Benchmark.
The benchmark holds the research agent and budgets fixed while varying the web search provider. This release is for the search-only condition: the agent can search and use result snippets but is not given a page-fetch tool.
Dataset contents
Each question asks for the complete set of companies satisfying three or four simultaneous constraints. This release contains:
- 10 questions
- 3 three-constraint questions and 7 four-constraint questions
- 103 reference-set memberships across the questions
- 100 unique canonical companies
Each row contains:
case_key— stable question identifier.question— natural-language company-discovery request shown to the agent.family— broad construction family such as investor, accelerator, or funding.constraint_countandconstraints— number and text of the simultaneous conditions.predicates— normalized axes and labels used to construct the question.census_metadata— dataset-construction checks and reference-set size.source_metadata— construction coverage metadata.sort_order— stable display order.gold— reference companies, including canonical name, domain, aliases, and notes.
Dataset-level release metadata and the source content hash are retained in
metadata.json.
Evaluation
A fixed agent is asked each question and must return the complete matching
company set. Returned companies are resolved to canonical identities and
compared deterministically with gold:
- a reference company returned by the agent is a true positive;
- an extra company is a false positive;
- a missed reference company is a false negative.
Precision, recall, F1, and exact-set accuracy are computed per agent run. Each provider configuration is run three times on the same locked questions; reported quality metrics are the mean and sample standard deviation across those three runs.
This repository contains questions and labels, not vendor responses or benchmark scores.
Gold construction
Questions were selected from broad intersections in the source company snapshot. Candidate labels were reviewed in a DB-free local labeller and finalized only after every case was marked reviewed and the local gold release was published.
Reproducibility
The open runner and offline judge are available at openbenchmarks-labs/multi-turn-company-search. The benchmark methodology and current results are published at openbenchmarks.com/multi-turn-company-search.
Release: ob-company-websearch-v1
Schema: company-research-dataset-v1
Gold version: 1
Content SHA-256: sha256:b987888daa5e0516ac7cf18deaba3830496929fa653d2cb68b494bd2945664ab