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accuracy float64 | macro_f1 float64 | sample_only_accuracy float64 | passed bool |
|---|---|---|---|
1 | 1 | 1 | true |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
MailRoom Document Corpus
Synthetic enterprise mailroom documents for classification training and evaluation.
Contents
| File | Records | Description |
|---|---|---|
documents.jsonl |
48 | 12 base samples × 4 variants (augmented) |
manifest.json |
— | Dataset metadata |
benchmark_report.json |
— | Classifier evaluation metrics |
Categories
leave_request— HR leave/time-off formscorrespondence— Official letters and memosinvoice— Tax invoices and financial documentscomplaint— Customer grievancespurchase_request— RFQ and procurement requestshr_inquiry— Policy and benefits questions
Languages
English (en) and Persian (fa) — bilingual registry workflow.
Usage
import json
with open("documents.jsonl") as f:
for line in f:
doc = json.loads(line)
print(doc["category"], doc["filename"])
License
Apache 2.0 · Synthetic data — no real PII.
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