Datasets:

AETHER-LAB
/

akie-pretrain-corpus

input_ids listlengths 5 3.77M	eixo stringclasses 4 values
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AKIE Pretrain Corpus

Corpus de pré-treino para a família de modelos AKIE, organizado em 4 eixos com proporções fixas, tokenizado com o AkieTokenizer (SentencePiece BPE, 32k vocabulário).

Composição

Eixo	Proporção	Tokens
Código	40%	~2,40B
Instruções	20%	~1,20B
Diálogo	25%	~1,50B
Raciocínio	15%	~0,90B
Total	100%	~6,00B

Fontes: código-fonte de repositórios públicos (várias linguagens), diálogos e instruções em português (traduções e coleções da comunidade), e datasets de raciocínio passo a passo (matemática e lógica geral, em português e inglês).

Controle de qualidade

O eixo de raciocínio passou por um filtro de alinhamento antes da montagem final: uma das fontes usadas (dataset de raciocínio traduzido, ~98% do eixo em volume) tinha uma fração real de exemplos com pergunta/resposta de assuntos sem relação entre si (achado por amostragem e verificação direta do conteúdo, não só do card da fonte). Exemplos identificados como desalinhados (heurística de sobreposição lexical entre pergunta e resposta) foram descartados antes da tokenização. Os outros 3 eixos foram verificados por amostragem e não apresentaram o mesmo padrão.

Formato

Parquet, 64 shards (data/shard-00000.parquet ... data/shard-00063.parquet), schema:

input_ids (list<int32>): sequência de tokens, já com token de início e fim de documento (BOS/EOS) do AkieTokenizer.
eixo (string): um de codigo, instrucoes, dialogo, raciocinio.

Documentos embaralhados entre os 4 eixos em todos os shards (não há blocos contíguos de um único eixo).

Uso pretendido

Pré-treino de modelos causais de linguagem de pequeno porte (~350M parâmetros) com o AkieTokenizer. Cada linha é um documento completo, pronto para ser empacotado em blocos de treino do tamanho de contexto desejado.

Licença

Corpus derivado de múltiplas fontes com licenças variadas (código open-source, datasets públicos da comunidade Hugging Face). Verifique a licença da fonte original antes de uso comercial de subconjuntos específicos.

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