Datasets:
Download README.md from thanatchon36/tbg-kit: direct link, hf CLI and curl.
- Browser
- Download file 5.38 kB
-
https://huggingface.co/datasets/thanatchon36/tbg-kit/resolve/main/README.md
- Command line
-
hf download hf://datasets/thanatchon36/tbg-kit/README.md
-
curl -L -o README.md https://huggingface.co/datasets/thanatchon36/tbg-kit/resolve/main/README.md
license: cc-by-4.0
pretty_name: 'tbg-kit: synthetic ownership network of Thai-style business groups'
language:
- en
- th
size_categories:
- 10K<n<100K
task_categories:
- graph-ml
- tabular-classification
tags:
- business-groups
- ultimate-ownership
- pyramids
- corporate-governance
- ownership-network
- thailand
- synthetic
configs:
- config_name: ultimate_owners
data_files: results/ultimate_owners.csv
default: true
- config_name: entities
data_files: data/processed/entities.csv
- config_name: holdings
data_files: data/processed/holdings.csv
- config_name: board_seats
data_files: data/processed/board_seats.csv
- config_name: groups
data_files: results/groups.csv
- config_name: group_members
data_files: results/group_members.csv
- config_name: fi_nexus
data_files: results/fi_nexus.csv
tbg-kit: synthetic ownership network of Thai-style business groups
Synthetic data. Every company, person, ticker and number here is fictional, generated by
tbg-kit(python -m tbg synth, seed 42). It mimics the structure of Thai public disclosures so the pipeline can be tested and taught; it says nothing about real Thai firms or people. Any resemblance of a generated name to a real person or company is coincidental.
Companion dataset to the software tbg-kit and the working paper Mapping Thailand's Business Groups: Ownership, Control, and the Finance-Business Nexus (Thanatchon Chongmankhong). It contains one complete run of the pipeline on the synthetic world: the raw inputs as extraction leaves them, the resolved ownership network, and the analysis (ultimate owners, business groups, pyramids, bank–group links). Explore the same network online: https://thanatchon36.github.io/tbg-kit/explorer.html.
Summary
- 12,063 entities: 527 listed firms, 7,244 companies, 3,485 persons in 2,783 families, 782 foreign companies
- 13,267 ownership edges and 3,019 board seats
- 421 multi-firm business groups, 46 with several listed firms
- At the 20% threshold, 63% of listed firms are family-controlled, 17% widely held, 4% state, 12% unresolved
Files
| Path | Rows | Content |
|---|---|---|
data/raw/universe/listed_companies.csv |
527 | Listed companies (SET + mai style universe) |
data/raw/shareholders/top10.csv |
5,158 | Top-10 shareholder registers |
data/raw/subsidiaries/extracted.csv |
9,419 | Subsidiary tables as extracted from One Reports |
data/raw/directors/directors.csv |
3,026 | Board members |
data/raw/dbd/boj5.csv |
171 | BOJ.5 shareholder lists of private holding companies |
data/raw/fi/fi_licenses.csv |
58 | Financial-institution licences |
data/raw/gleif/th_entities.csv |
58 | GLEIF legal entities |
data/raw/gleif/relationships.csv |
42 | GLEIF parent relationships |
data/manual/seeds.yaml |
Group labels (labels only) | |
data/processed/entities.csv |
12,063 | Resolved entities: companies, persons, families, funds |
data/processed/holdings.csv |
13,267 | Ownership edges after entity resolution |
data/processed/board_seats.csv |
3,019 | Person–company board seats |
data/processed/parent_links.csv |
42 | Financial-group and GLEIF parent links |
data/processed/person_family.csv |
3,485 | Person → family assignment |
results/ultimate_owners.csv |
25,548 | Ultimate owner, control and cash-flow rights per firm and threshold |
results/control_pairs.csv |
40,204 | All owner–firm pairs with control and cash-flow rights |
results/groups.csv |
544 | Business groups with size, depth, wedge, market value |
results/group_members.csv |
8,852 | Group membership of every entity |
results/group_ties.csv |
3,603 | Shared directors and cross-ownership between groups |
results/fi_nexus.csv |
766 | Bank group ↔ business group links |
results/cycles.csv |
3 | Cross-holding cycles |
results/robustness.csv |
27 | Results under alternative thresholds and settings |
results/summary.json |
Headline numbers used in the paper |
Load
from datasets import load_dataset
uo = load_dataset("thanatchon36/tbg-kit", "ultimate_owners", split="train")
holdings = load_dataset("thanatchon36/tbg-kit", "holdings", split="train")
Key definitions
holdings.pct: direct ownership ofownerinowned, in percent. Edges come from SET top-10 registers, One Report subsidiary tables, DBD BOJ.5 lists, Pillar 3 reports and manual input (source).ultimate_owners: per firm and control threshold (10%, 20%, 50%), the ultimate owneruo_id, control rightscr(block-wise weakest link), cash-flow rightscf(M(I−M)⁻¹),wedge = cr − cf, chaindepthand pyramid flags.groups/group_members: business groups around each ultimate owner at the 20% threshold.fi_nexus: links between bank groups and business groups through ownership, shared directors and fund holdings.
Reproduce
git clone https://github.com/thanatchon36/tbg-kit && cd tbg-kit
make setup && make hf # writes this folder to dist/hf/
SHA256SUMS lists the checksum of every file.
License and citation
Data: CC BY 4.0. Software: MIT. Cite the software with its
CITATION.cff (DOI on Zenodo).