sutra
Datasets
All datasets matching “sutra”sutra-w2c-corpus
sutra-w2c-corpus
A weights↔code training corpus for Sutra
weight→code decompilation: generated Sutra programs whose behavior is
carried by matrices, paired with those matrices (the "weights") and the
program's substrate input→output behavior. The long-term goal is a model
that maps weights → code (recovering the program from its learned
parameters).
This dataset is generated by experiments/weight_to_code_corpus.py in the
Sutra repo (where it is pinned as the corpus/ submodule)… See the full description on the dataset page: https://huggingface.co/datasets/EmmaLeonhart/sutra-w2c-corpus.sutra-1B
Sutra 1B Pretraining Dataset
A high-quality pedagogical dataset designed for LLM pretraining, containing 948,709 educational entries totaling over 1 billion tokens.
Dataset Description
This dataset was generated using the Sutra framework, which creates structured educational content optimized for language model pretraining. Each entry is designed to maximize learning efficiency through:
Clear pedagogical structure: Content follows proven educational patterns
Cross-domain… See the full description on the dataset page: https://huggingface.co/datasets/codelion/sutra-1B.sutra-10B
Sutra 10B Pretraining Dataset
A high-quality pedagogical dataset designed for LLM pretraining, containing 10,193,029 educational entries totaling over 10 billion tokens. This is the largest dataset in the Sutra series, designed to demonstrate that dense, curated datasets can provide best-in-class pretraining performance for small language models.
Dataset Description
This dataset was generated using the Sutra framework, which creates structured educational content… See the full description on the dataset page: https://huggingface.co/datasets/codelion/sutra-10B.brahma-sutras
Brahma Sūtras (ब्रह्मसूत्राणि) — Complete Śrī Madhvācārya Dvaita Sarvamūla Canon
The complete computational and hermeneutic dataset of all 555 Brahma Sūtras of Bādarāyaṇa Vyāsa with the Dvaita Vedānta (Tattvavāda) commentaries of Śrī Madhvācārya (Ānandatīrtha).
🏛️ Corpus Structure & Sarvamūla Works
This dataset includes:
555 Canonical Sūtras structured across 4 Adhyāyas (Samanvaya, Avirodha, Sādhana, Phala) and 16 Pādas.
Pāṇinian Padaccheda: Exact… See the full description on the dataset page: https://huggingface.co/datasets/gnumanth/brahma-sutras.sutra-magpie-sft
Sutra Magpie SFT Dataset
A high-quality dataset of 20,682 instruction-response pairs for supervised fine-tuning (SFT) of language models. Generated using seed prompts from the Sutra framework with Magpie-style response generation.
Dataset Description
This dataset provides diverse, high-quality instruction-response pairs suitable for training instruction-following language models.
Generation Method
Seed Prompts: Started with 30K diverse seed prompts from… See the full description on the dataset page: https://huggingface.co/datasets/codelion/sutra-magpie-sft.sutra-100M
Sutra 100M Pretraining Dataset
A high-quality synthetic pedagogical dataset designed for LLM pretraining, containing 70,435 educational entries totaling approximately 100 million tokens.
Dataset Description
This dataset was generated using the Sutra framework, which creates structured educational content optimized for language model pretraining. Each entry is designed to maximize learning efficiency through:
Clear pedagogical structure: Content follows proven educational… See the full description on the dataset page: https://huggingface.co/datasets/codelion/sutra-100M.