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benedixx/indonesian-b2b-company

Indonesian B2B Company Ground Truth Dataset Manually annotated ground-truth dataset for 70 Indonesian companies used to evaluate an AI-powered SDR (Sales Development Representative) research agent. Dataset Description Each record contains verified factual information about a publicly or privately held Indonesian company, sourced from official websites, IDX filings, LinkedIn, and credible Indonesian business media. Files File Description… See the full description on the dataset page: https://huggingface.co/datasets/benedixx/indonesian-b2b-company.

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Indonesian B2B Company Ground Truth Dataset

Manually annotated ground-truth dataset for 70 Indonesian companies used to evaluate an AI-powered SDR (Sales Development Representative) research agent.

Dataset Description

Each record contains verified factual information about a publicly or privately held Indonesian company, sourced from official websites, IDX filings, LinkedIn, and credible Indonesian business media.

Files

File	Description
`ground_truth.csv`	Main companies table (1 row per company)
`executives.csv`	C-level executives table (FK: `company_name`)
`ground_truth.parquet`	Companies table in Parquet format
`executives.parquet`	Executives table in Parquet format

Schema — companies table

Column	Type	Description
`company_name`	string	Canonical legal name
`annotated_date`	date	Date annotation was recorded
`company_group`	string	Parent group / conglomerate
`industry`	string	Primary industry vertical
`office_number`	string	Main phone number (E.164 or local)
`location`	string	City / region (Jakarta, Surabaya, Bandung …)
`head_office_location`	string	Full registered address
`employee_number`	string	Human-readable headcount range (e.g. `10000+`)
`employee_count_min`	int	Lower bound of employee range
`employee_count_max`	int \	null	Upper bound (null = unbounded, e.g. `50000+`)
`company_size`	string	Canonical tier: Micro / Small / Medium / Large / Enterprise
`linkedin_company_url`	string	LinkedIn company page URL
`website`	string	Official website
`is_public`	bool	Listed on IDX (Jakarta Stock Exchange)
`idx_code`	string	IDX ticker symbol (null if not listed)
`executive_count`	int	Number of known C-level executives
`executive_names`	string	Pipe-separated names of known executives
`executive_positions`	string	Pipe-separated positions of known executives
`notes`	string	Annotator notes / caveats

Schema — executives table

Column	Type	Description
`company_name`	string	FK → companies table
`name`	string	Full name
`position`	string	Official title
`source_url`	string \	null	Primary source URL for this executive

Dataset Statistics

—Companies: 70
—Total known executives: 126
—Industries: Construction & Engineering, Food & Beverages, Healthcare, Manufacturing, Mining, Trading - Distributor, Transportation & Logistics
—Company sizes: Enterprise, Large, Medium
—Annotation date: 2026-03-20
—Geography: Indonesia (Jakarta-centric, with Surabaya, Bandung, Semarang representations)

Intended Use

This dataset is designed for evaluating AI research agents that:

1.Given a company name, retrieve factual company information from the web
2.Find key decision-makers (PICs / People in Charge)
3.Find recent company news

It can also be used as a reference dataset for:

—Indonesian company name normalization / entity resolution
—B2B lead enrichment benchmarks
—Indonesian NER model evaluation (company names, executive names)

Limitations & Caveats

—Executive data represents a partial ground truth (C-suite only; mid-level managers not annotated).
—Data reflects the state as of the annotated_date column. Indonesian corporate structures change frequently.
—For companies marked with notes warnings (e.g. ALTO, Kimia Farma), data may be less reliable.
—BUMD/BUMN companies may have limited public executive disclosure.

License

Creative Commons Attribution 4.0 International (CC BY 4.0).