Datasets:
Tasks:
Question Answering
Formats:
json
Languages:
English
Size:
< 1K
Tags:
web-search
company-search
agentic-search
information-retrieval
entity-retrieval
multi-constraint
| 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: default | |
| data_files: | |
| - split: validation | |
| path: data/validation.jsonl | |
| # OB Company Websearch Validation | |
| 25 multi-constraint company-discovery questions with a frozen, | |
| hand-labelled reference set. This validation set is for developing and tuning | |
| against the | |
| [OpenBenchmarks Multi Turn Company Search Benchmark](https://openbenchmarks.com/multi-turn-company-search). | |
| Scores on it are not leaderboard scores: the leaderboard is computed on a | |
| separate held-out set, and none of these questions appear in it. | |
| The benchmark holds the research agent and budgets fixed while varying the web | |
| search provider. The questions apply to both conditions: **search-only**, where the | |
| agent can search and read result snippets, and **search and fetch**, where it can | |
| also fetch pages. | |
| ## Dataset contents | |
| Each question asks for the complete set of companies satisfying three or four | |
| simultaneous constraints. This release contains: | |
| - **25 questions** | |
| - **12 three-constraint questions** and **13 four-constraint questions** | |
| - **182 reference-set memberships** across the questions | |
| - **180 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_count` and `constraints`: number and text of the simultaneous conditions. | |
| - `predicates`: normalized axes and labels used to construct the question. | |
| - `census_metadata`: dataset-construction checks. | |
| - `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. | |
| This repository contains questions and labels. It does not contain vendor | |
| responses or benchmark scores. | |
| ## Gold construction | |
| Questions were generated from intersections of attributes in a company snapshot, | |
| keeping only questions where every constraint narrows the answer set. Fifteen web | |
| search APIs were each run on every question in both conditions. The companies they | |
| returned, together with the snapshot's own answers, were checked against each | |
| constraint by an automated judge and then reviewed by hand. The reference set was | |
| frozen after every question was reviewed. | |
| ## Reproducibility | |
| The open runner and offline judge are available at | |
| [openbenchmarks-labs/multi-turn-company-search](https://github.com/openbenchmarks-labs/multi-turn-company-search). | |
| The benchmark methodology and current results are published at | |
| [openbenchmarks.com/multi-turn-company-search](https://openbenchmarks.com/multi-turn-company-search). | |