Publish Grounded Behavior Framework dataset v1.5

.gitattributes

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+*.jsonl filter=lfs diff=lfs merge=lfs -text
+

LICENSE

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+MIT License
+
+Copyright (c) 2026 Grounded Behavior Framework contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+

README.md

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+---
+language:
+- pt
+license: mit
+task_categories:
+- question-answering
+- text-generation
+tags:
+- synthetic
+- european-portuguese
+- grounded-generation
+- instruction-tuning
+pretty_name: Grounded Behavior Framework N1 v1.5
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train.jsonl
+  - split: validation
+    path: data/validation.jsonl
+  - split: test
+    path: data/test.jsonl
+---
+
+# Grounded Behavior Framework N1 v1.5
+
+Dataset sintético em português europeu para treino e avaliação de respostas
+fundamentadas num contexto fornecido. Cada exemplo contém um contexto, uma
+pergunta e uma resposta curta que aparece literalmente no contexto.
+
+## Como carregar
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("empgces/grounded-behavior-framework-v1_5")
+print(dataset)
+print(dataset["train"][0])
+```
+
+## Splits
+
+| Split | Exemplos | Utilização |
+| --- | ---: | --- |
+| `train` | 4.840 | Treino |
+| `validation` | 250 | Seleção e validação |
+| `test` | 240 | Avaliação final |
+
+A versão v1.5 acrescenta 400 exemplos validados ao split de treino da versão
+base. Os splits `validation` e `test` foram preservados byte a byte.
+
+## Campos
+
+Cada linha JSONL inclui:
+
+- `id`: identificador determinístico do exemplo;
+- `context`: texto que contém o facto relevante;
+- `question`: pergunta respondível a partir do contexto;
+- `answer`: resposta literalmente presente no contexto;
+- `curriculum_level`, `capability_code`, `subskill`: metadados curriculares;
+- `domain`, `document_style`, `fact_type`, `entity_type`: características do
+  conteúdo;
+- `context_length`, `fact_position`, `distractor`, `question_type`: controlos
+  de geração;
+- `language`: variante linguística;
+- `provider`, `batch_id`, `chunk_id`, `example_index`, `prompt_version`:
+  rastreabilidade da geração;
+- `dataset_version`: versão de origem do exemplo.
+
+## Processo de criação
+
+Os exemplos foram gerados por vários providers e submetidos a validação
+estrutural e determinística. A validação confirma, entre outros aspetos:
+
+- JSON e esquema válidos;
+- número esperado de exemplos por chunk;
+- presença literal da resposta no contexto;
+- distribuição curricular obrigatória dos estados na extensão v1.5;
+- presença de dias e de um intervalo completo em respostas de horários.
+
+Os 400 exemplos acrescentados na v1.5 provêm de 40 chunks validados. Não foram
+encontrados duplicados exatos contra a versão base ou dentro do refinamento.
+
+## Utilizações previstas
+
+- fine-tuning de modelos para question answering fundamentado;
+- avaliação de seguimento de contexto em português europeu;
+- investigação sobre recuperação explícita de factos e resistência a
+  distratores.
+
+## Utilizações não previstas
+
+O dataset não deve ser utilizado como fonte factual, para decisões de alto
+impacto ou como substituto de revisão humana. As entidades e os factos podem
+ser fictícios.
+
+## Limitações
+
+O conteúdo é sintético e pode conter padrões estilísticos dos modelos
+geradores. A validação automática não equivale a uma revisão linguística
+humana exaustiva. A cobertura concentra-se no nível curricular N1 e não mede
+competências gerais de raciocínio.
+
+## Informação pessoal
+
+O dataset foi concebido com entidades e factos sintéticos e não pretende
+representar pessoas reais nem incluir dados pessoais.
+
+## Licença
+
+MIT. Ver `LICENSE`.
+
+## Versão
+
+`v1.5`
+

build_manifest.json

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+{
+  "build_mode": "train_refinement_with_frozen_evaluation_splits",
+  "dataset_version": "v1.5",
+  "timestamp_utc": "2026-07-25T08:09:06.143980+00:00",
+  "base_dataset_dir": "datasets/final/n1_v3",
+  "refinement_validated_dir": "datasets/validated/n1_v1_5",
+  "raw_dir": "datasets/raw/n1_v1_5",
+  "queue": "queues/n1_v1_5/jobs.jsonl",
+  "prompt_dir": "prompts/generated/n1_v1_5",
+  "validation_markers_discovered": 40,
+  "expected_refinement_chunks": 40,
+  "expected_refinement_examples": 400,
+  "refinement_examples_added": 400,
+  "exact_duplicates_removed": 0,
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+  },
+  "frozen_split_checks": {
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+    "test_byte_identical": true
+  },
+  "accepted_chunks": [
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+}

dataset_summary.json

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+{
+  "dataset_name": "grounded-behavior-n1-pt",
+  "dataset_version": "v1.5",
+  "generated_at_utc": "2026-07-25T08:09:06.143980+00:00",
+  "build_mode": "train_refinement_with_frozen_evaluation_splits",
+  "base_split_counts": {
+    "train": 4440,
+    "validation": 250,
+    "test": 240
+  },
+  "refinement_examples_validated": 400,
+  "refinement_exact_duplicates_removed": 0,
+  "refinement_examples_added": 400,
+  "split_counts_examples": {
+    "train": 4840,
+    "validation": 250,
+    "test": 240
+  },
+  "validation_frozen": true,
+  "test_frozen": true
+}