investor-behavior-dataset
Self-produced structured data from the investor_behavior_analysis research (Finalsystems, part 2 of the startup full-lifecycle decision toolchain). It profiles global investors' pre- and post-investment behavior around semiconductor (chip) startups, reconstructed from free public sources and organized into entity / event / chain / company tables.
Contents
| Config | Files | Grain | Row est. |
|---|---|---|---|
entity |
investors_entity_v0.3 + investors_provenance_v0.2 | 1 investor per row | ~1,915 |
events |
funding / exposure / interface (clean_human v0.2, identity_patch v1) | 1 event per row | funding ~1.4K / exposure ~3.3K / interface ~3.2K |
chains |
chains_chip_v0.3 (clean_human v0.2, identity_patch v1) | 1 funding-level outcome chain per row | ~1,342 |
companies |
companies_entity_v0.2 + category_v0.2 + edges_long_v0.1 + associated_* | 1 company per row | ~43,474 |
Data dictionary & machine contracts
Each table ships a human-readable schema spec (*.spec.md) and, where a
programmatic contract exists, a machine JSON Schema (*.schema.json) under
schemas/. These are authoritative for column semantics, keys, enums and
null policy.
investors_entity_v0.3โ 1,915 investors (frozen v0.2 989-row base + 926 interface-recovery entities), 22 columns, stable IDs (wikidata:<QID>/interface_recovery:<hex>)chains_chip_v0.3โ one temporal chain per funding-level company outcome;schema_version v0.3.0; full Arrow schema incl. exposure/interface event ids in-window
Scope
- Universe: semiconductor / chip startups (2,278 Crunchbase seed universe) + global investors across 9 types (IB / PE / AM / HF / VC / Pension / CVC / SWF / Angel).
- Time: coverage through 2026 (static snapshot; see provenance for collection dates per source).
Data quality & limitations
- Self-produced analysis fields from public sources (SEC EDGAR, Wikidata CC0, company/investor sites, news via Tavily, AKShare, etc.).
- Contains no redistributable third-party raw rows โ only aggregate / derived / self-produced fields.
- Known coverage ceilings per investor type (e.g. SWF ~50%, interface
~70% paid-source);
per_vc_amount_usd~16% populated; descriptive, not causal or predictive.
Source
Reconstructed from free public data. See the accompanying research report
(investor_behavior_analysis/_REPORT.md) for full methodology and source
provenance.
Related
- Companion skills repo:
startup-decision-skills(event-claim-resolution, event-chain-builder, entity-dedup, ...). - Companion paper (arXiv/SSRN) covering both parts of the toolchain.
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