File size: 6,330 Bytes
2fda026
 
133ef9f
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
2fda026
133ef9f
2fda026
133ef9f
2fda026
133ef9f
 
 
 
 
2fda026
133ef9f
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
# Data Provenance

Per-table documentation of data sources, extraction methods, and quality notes.

## documents

**1,424,673 rows.** One row per PDF file from the DOJ Epstein release.

- **856,028 files** processed with **Gemini 2.5 Flash Lite** ($0.10/$0.40 per 1M tokens). Full structured extraction: document type classification, date parsing, entity extraction, handwriting/stamp detection, photo description.
- **531,279 files** (DataSet 9) imported from the [rhowardstone/Epstein-research-data](https://github.com/rhowardstone/Epstein-research-data) community project using **Tesseract OCR**. Raw text only — no entity extraction or document classification. These have `ocr_source = 'tesseract-community'`.
- **1,377 files** originally Tesseract, upgraded to Gemini in v2 (604 from DS10, 773 from other datasets).
- **37,369 files** have `is_photo = true` (photos, stamps, blank pages).
- `email_fields` column (new in v2): JSON-encoded email metadata (from, to, cc, subject, date) for email-type documents.

Distinguish OCR source: `ocr_source IS NULL` = Gemini, `ocr_source = 'tesseract-community'` = community.

## entities

**10,629,198 rows.** Named entities extracted from documents.

- Gemini documents: entities come from the structured JSON extraction prompt (types: person, organization, location, date, reference_number, email_address, phone_number, monetary_amount).
- Community documents: entities from post-processing NER pipeline.
- Entity `normalized_value` provides cleaned/canonical forms where available.

## chunks

**2,193,090 rows.** Text chunks for RAG (retrieval-augmented generation).

- ~800 token target per chunk with overlap at sentence boundaries.
- `char_start` and `char_end` map back to the parent document's `full_text`.

## embeddings_chunk



**2,111,356 rows.** 768-dimensional float32 vectors from `gemini-embedding-001`.



- ~96% coverage (documents with malformed text excluded).

- Stored as `list<float32>` in Parquet.

- `source_text_hash` links to the chunk text that was embedded.



## persons



**1,614 rows.** Curated person registry with canonical names, aliases, and categories.



- Categories: perpetrator, victim, associate, other.

- `aliases` field: JSON array of known alternate names/spellings.

- `search_terms`: additional search patterns for entity resolution.
- Community-curated from multiple sources.

## kg_entities / kg_relationships

**467 entities, 2,198 relationships.** Knowledge graph connecting people, organizations, and locations.

- Relationship types: traveled_with, associated_with, employed_by, legal_representative, financial_connection, etc.

- `weight` indicates strength of connection (co-occurrence frequency).

- `evidence` field links to source document file_keys.

## recovered_redactions



**37,870 rows.** Text recovered from under redaction bars using ML reconstruction.



- `interest_score` (0-100) ranks significance of recovered content.
- `names_found` lists person names detected in recovered text.
- Experimental quality — treat as leads, not verified text.

## financial_transactions (NEW in v2)



**49,770 rows.** Credit card and bank transaction records extracted with DeepSeek.



- Source: DOJ-released credit card statements and bank records (DataSet 10/11).

- Extraction model: DeepSeek (per-page structured extraction).

- 31% of raw extractions quarantined for quality issues (hallucinated amounts, duplicate entries, garbled OCR). Only clean records included.

- Flight fields (flight_from, flight_to, flight_carrier, flight_passenger) populated for airline purchases.

- Key cardholders: JEFFREY E EPSTEIN, GHISLAINE MAXWELL, KARYNA SHULIAK, HBRK ASSOCIATES, TERRAMAR PROJECT.



## communication_records (NEW in v2)

**128 rows.** Phone call and cell-site/CDR records.

- Source: DOJ-released phone records.
- 99.8% of raw extractions quarantined (CDR data has very high hallucination rates). Only 128 high-confidence records included.
- Fields: call date/time, duration, direction, location, number called, provider.

## investigative_records (NEW in v2)



**143 rows.** Law enforcement reports, evidence recovery logs, and vehicle/property records.



- Source: FBI, PBSO, and other agency reports in DOJ release.

- 87% of raw extractions quarantined. Only 143 verified records included.

- Record types: law_enforcement_report, evidence_recovery_log, vehicle_property_record.



## derived_events (NEW in v2)

**3,038 events** with **5,751 participants** and **21,910 source document links.**

Three analysis tracks reconstruct Epstein's activities:

- **Calendar track**: Meetings, dinners, appointments from Lesley Groff's daily schedule emails (2011-2016).
- **Travel track**: Flights, hotel stays, ground transport from schedule transitions and AmEx bookings.
- **Financial track**: Gift exchanges, institutional donations, major purchases from bank statements and emails.

Each event links to source EFTA documents via `event_sources` and participants via `event_participants`.

## curated_docs (NEW in v2)



**5,766 gold documents** across 5 investigation subjects: Hoffman (1,526), Gates (2,069), Summers (739), Clinton (765), Black (667).



- Each document annotated with: tier (NUCLEAR/CRITICAL/HIGH/MEDIUM/SUPPORTING), category, date, sender, recipient, headline, key quote, investigative detail.

- `also_appears_as`: JSON array of duplicate EFTA file_keys for the same document.
- Only gold-status documents exported (24,706 rejected documents excluded).

## provenance/files

**1,387,775 rows.** One row per processed file with full pipeline metadata.

- `pdf_sha256`: SHA-256 hash of input PDF.
- `output_sha256`: SHA-256 hash of output JSON.
- `model_used`: OCR model (gemini-2.5-flash-lite, tesseract-community, etc.).
- `input_tokens` / `output_tokens`: API token consumption.
- `validation_score`: automated quality score (0-100).

## provenance/audit_log



**3,711,609 rows.** Append-only forensic audit trail.



- Every pipeline action (file processed, error, retry, fix applied) is logged.

- `checksum` field provides tamper detection on critical operations.

- Timestamps in ISO-8601 format.



## provenance/runs



**123 rows.** Pipeline execution records with timing, worker counts, and costs.