Skip to main content
AMLOK’s financing corpus links public evidence about legal entities, credit arrangements, registered security and later events. You can use it to test extraction, entity resolution, relationship reconstruction and financial reasoning. Its unit is an evidenced financing event, with separate identifiers for the underlying facility and every source document.

​
Define a deal before counting one

The corpus distinguishes seven events. Preserve the original source wording alongside the normalized classification. An institution can sign a facility, register security, draw twice, amend the limit and release the security. That sequence can produce many public records but still describe one facility. A syndicated facility can name many lenders without becoming one deal per lender. A single borrower can also have multiple genuinely distinct facilities. The Canada Infrastructure Bank’s investment process distinguishes its investment stages. Bank Act Security Registry principles also show why a registry release does not automatically prove repayment: release can follow a situation in which no security was given.

​
Corpus objects

These are research objects, not new public API resources. Preserve the distinction between an issuer and its borrowing subsidiary, and between a lender, an administrative agent and a guarantor.

​
Construct the corpus

  1. Acquire a bounded source release. Record query parameters, pagination, coverage dates and returned bytes. Save failures and unavailable fields as part of the acquisition record.
  2. Assign a source unit. Identify whether each row is a company, registration, signed support transaction, annual aggregate, document, facility or outcome. Reject unitless counts.
  3. Extract source claims. Retain page and row locations, stated units, dates, amount ranges and conditional language. Keep absent values null.
  4. Resolve entities conservatively. Prefer registry identifiers. Use name, jurisdiction, address and legal form for candidate generation. Preserve uncertain matches for review; similar names alone do not justify merging.
  5. Build facility families. Link amendments, renewals and syndicated participants to the original facility when evidence supports the relationship. Keep competing linkage hypotheses when it does not.
  6. Create the historical view. A record enters the input only when it was publicly available by the assessment cutoff. Signing date alone does not establish publication availability.
  7. Qualify task labels. A disclosed amount can label extraction. A matched registration can label a security relationship. Neither automatically labels repayment, affordability or fraud.
  8. Freeze the release. Publish aggregate counts, exclusion reasons, schema and hashes. Keep restricted source material under the original access conditions.

​
Deduplication and overlap

Deduplicate exact bytes first, then source identifiers, then economically equivalent events. Do not use a single name-and-amount key as the final rule. The same amount can recur in renewals or separate facilities, while currency conversion can make the same facility appear different. Retain separate document_count, source_row_count, registration_count, entity_count, facility_count, event_count and outcome_linked_facility_count. Record the number of uncertain matches and exclusions. A link that merges two facilities must preserve its evidence and be reversible. For cross-source overlap, distinguish an exact duplicate, a confirming observation, an amendment and an unrelated event. Québec and federal corporate records can describe the same legal entity. EDC support can accompany a syndicated facility disclosed by an issuer. These records add corroboration, not necessarily another borrower or loan.

​
Collected records and facility counts

The initial record index contains 1,047 source observations with deterministic IDs, original-file hashes, explicit locations and field-availability metadata. It does not claim facility deduplication or independently labeled outcomes. The source findings explain the observed denominators. The expanded 0.3 collection contains 2,207,426 SBA observations, 1,049 Canadian-source financing disclosures, 208,818 mortgage originations and 3,905,397 SEC numeric facts. These are acquired source records with different units. Facility deduplication and cross-source outcome linkage remain separate labeling tasks. The older index above is a preserved 0.2 inspection artifact, not the current collection total. The measured source findings illustrate the distinction: one Canadian public table represents 214,158 loans in annual aggregates, but contains no individual loan records. Those aggregate counts cannot be inserted as 214,158 training examples. Registry documentation establishes available fields and access routes; it does not establish that all corresponding live records have been acquired. Use a scalable ingestion ledger keyed by source, partition and source revision. Record fetched, parsed, failed, duplicate, eligible and adjudicated counts per partition. Resume from durable checkpoints. Changes to a source record append a version; they do not silently replace the historical training view. Review the final count from the frozen ledger before making a corpus-size claim.

​
Sampling and validation

Stratify the adjudication sample by source, province, language, event type, date, amount format, borrower size and entity ambiguity. Oversample difficult cases for diagnostics but keep a separate prevalence-weighted estimate. Record inclusion probabilities where sampling permits them. Review entity and facility matching independently of model predictions. Report agreement and unresolved cases. Inspect the tails: repeated numbered corporations, renamed borrowers, groups of co-borrowers, partial discharges, conditional facilities, missing currencies and terms spread across footnotes. Public-company and infrastructure records can validate difficult extraction and financial semantics. They do not by themselves establish performance for small private businesses or consumers. Maintain those transfer claims as separate studies with separate eligible populations.