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This dataset is derived from official Portuguese legislation text (public, copyright-exempt — see License below). Access is gated only so we can track who's using it and for what — briefly tell us your intended use.
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AMALIA sum-dre — Portuguese legal act summarization (SFT)
(diploma full text → official sumário) instruction-tuning pairs, built for
specializing AMALIA-9B
toward Portuguese legal text. Ground truth by construction: every target
summary is Diário da República's own official abstract (sumário) for
the act, never inferred by a model. Derived from
teex-pt/leis-pt-consolidada
by teex-pt/pt-amalia.
Why this exists
This project's own IAVE LoRA pilots (see JOURNAL.md in pt-amalia) showed
closed-book fact-recall SFT on small legal/exam data has a low ceiling —
format moved, precision didn't. Summarization is a different kind of task:
it trains compression and extraction given the source text right there in
context, not recall of facts the model has to have memorized. It's also
the task PLANO.md's leis-pt spec names first (amalia-sum-dre) as
"gold by construction."
Scope
- 1,006 diplomas, capped to those whose full consolidated text fits a single training context window (≤32,000 characters). The 721 diplomas above that cap — mostly the 26 base legal codes and a handful of omnibus reform laws — are a different task (retrieval source, not a single-summary target); see teex-pt/leis-pt-consolidada and teex-pt/amalia-cita-legal instead.
- 956 train / 50 valid, split by diploma (each diploma contributes exactly one row, so this is diploma-disjoint by construction — no leakage to guard against).
Files
train.jsonl,valid.jsonl— the project's standard chat schema:{"messages": [{"role": "user", "content": "<instruction + diploma header + full text>"}, {"role": "assistant", "content": "<official sumário>"}]}. Each record also carriesdiploma_id,tipo,numero,designacao,fonte_url,n_chars_inputfor traceability/filtering.build-report.json— yield stats (kept vs. skipped-too-long vs. skipped-empty).
Known limitations
valid.jsonlis for SFT trainer loss monitoring, not a benchmark — it's a random diploma-level split, not curated for difficulty or topic balance.- The official
sumáriois itself sometimes terse (a single sentence) — this trains extractive/compressive summarization in the DR abstract's own house style, not a general-purpose summarizer. - Decontaminated against all four consortium benchmarks (2026-07-14,
13-word shingle overlap check):
LegalBenchPTandpt_examsflagged rows all manually verified as benign shared real-document text (statutes, and one shared government policy title), not leaked test items;albaandcultura_vivacame back fully clean, zero overlap. Full reports:eval/results/DECONTAMINATION-{legalbenchpt,pt_exams,alba-culturaviva}.mdin teex-pt/pt-amalia.
License & attribution
Same basis as teex-pt/leis-pt-consolidada: official Portuguese legal texts (including their official DR abstract) are copyright-exempt (CDADC art.º 8.º). This compilation is released under CC0 1.0.
Citation
@misc{amalia-sum-dre-2026,
title = {AMALIA sum-dre: Portuguese legal act summarization SFT pairs},
author = {teex-pt},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/teex-pt/amalia-sum-dre}},
note = {Target summaries sourced from Diário da República's official sumário field}
}
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