Fiund / Dataset directory
A directory for a specific data need.
Business datasets span more than spreadsheets. A document classification project may need varied layouts and languages; an extraction project may need field-level ground truth; an enterprise benchmark may depend on relationships between records. This Fiund site helps buyers turn those different needs into a specific sourcing inquiry.
Browse the category
Start with the intended use.
| Source focus | Project definition | Sourcing status |
|---|---|---|
| Business documents for document AI | Scope authentic business document sourcing for extraction, classification, and layout understanding. | Project-specific review |
| Enterprise retrieval and grounded answers | Plan source documents, business questions, and citation evidence for enterprise search evaluation. | Project-specific review |
| Structured business records and linked tables | Specify rows, entities, dictionaries, and relationships for tabular business AI workflows. | Project-specific review |
| Business AI evaluation datasets | Design held-out business examples with expected outputs, source evidence, and meaningful failure slices. | Project-specific review |
| Procurement and operational document workflows | Plan linked operational artifacts for reconciliation, routing, and business process understanding. | Project-specific review |
This directory describes sourcing options and specification questions. It is not a live inventory or a promise of available files, volume, samples, or cleared rights.
Source requirements
What belongs in the specification.
Record definition
What one document, row, or case represents; how related records are grouped.
Coverage
Countries, languages, industries, date ranges, document families, and layout diversity.
Data dictionary
Field meanings, units, missing-value conventions, stable identifiers, and provenance information.
Sensitive information
Required removal or replacement of personal, confidential, financial, and account-level details.
Project workflow
A reviewable route to a dataset.
Define the target
Business datasets span more than spreadsheets. A document classification project may need varied layouts and languages; an extraction project may need field-level ground truth; an enterprise benchmark may depend on relationships between records. This Fiund site helps buyers turn those different needs into a specific sourcing inquiry.
Write the specification
Document types or table schemas; Languages, regions, and date coverage; Volume by category; Ground truth and sensitive-data requirements; Intended use and licensing scope. These details establish the project’s review criteria and reveal where further clarification is needed.
Review sourcing fit
Discuss which existing sources or collection approaches could address the brief. Identify access constraints, source documentation, and unanswered permission questions before treating a category as usable inventory.
Inspect representative material
Where appropriate material can be shared, agree on handling and inspect it against the specification. Record defects, coverage gaps, and annotation questions against exact source identifiers.
Agree the project scope
Confirm the selected material, intended uses, preparation work, acceptance criteria, commercial terms, and delivery arrangements in a project-specific agreement.
Review the handoff
Check file references, manifests, documented processing, and accepted exceptions. Keep permission review and technical acceptance explicit, and resolve open issues before the collection is treated as approved for the intended use.
Common questions
Before you source.
Can I request genuine business documents?
Yes. State that authentic records are required, and identify acceptable origins and document types. Sourcing fit, permissions, confidentiality, and de-identification need review for each collection.
Should I ask for raw files or extracted tables?
That depends on the task. Layout understanding may need original documents; structured analysis may need normalized records. If you need both, specify how each extracted record must link back to its source.
Are all categories available in the same volume?
No volume is promised on this site. Send your required counts by category so Jaeden can discuss availability and sourcing options without treating a broad category label as confirmed inventory.