datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Technical-Architectures-Large
Technical Architectures Large (294k Samples)
Overview
Generating complex, syntactically valid diagram code from natural language requirements is a major challenge for AI models. This dataset bridges that gap by providing over 293,000+ distinct enterprise software architectures generated using two cutting-edge models: GPT-OSS-120B and Qwen3-Coder-Next-FP8.
Unlike simple "toy" examples, these architectures model realistic enterprise systems complete with client… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Technical-Architectures-Large.khmer-nlp-technical-corpus
khmer-nlp-technical-corpus — Khmer Strategic NLP Corpus
Dataset Summary
This dataset contains peer-grade long-form technical treatises (3,000+ words each) in the Khmer language (km / ភាសាខ្មែរ). Every article is normalized and features neural BiGRU+CRF word segmentation with Zero-Width Space (\u200B) injection to prevent token fragmentation in sub-word tokenizers.
Dataset Statistics
Total Documents: 3
Train Documents: 3
Total Words: 8,002
Total… See the full description on the dataset page: https://huggingface.co/datasets/guanvireak/khmer-nlp-technical-corpus.bell-labs-technical-archive
Bell Labs Documents and Stuff
This is a conservative public-release subset of the internal BELLA continued-pretraining corpus. It keeps the Bell-system technical material that survived a stricter final pass for public dataset hosting and removes records that still looked risky, off-scope, or too low-signal for a Hugging Face corpus listing.
What is in the release
Split
Documents
train
1220
validation
29
test
42
The release contains 1291 documents out… See the full description on the dataset page: https://huggingface.co/datasets/hunterbown/bell-labs-technical-archive.Technical-Architectures-Large
Technical Architectures Large (210k+ Samples)
Overview
Generating complex, syntactically valid diagram code from natural language requirements is a major challenge for AI models. This dataset bridges that gap by providing over 210,000 distinct enterprise software architectures generated using two cutting-edge models: GPT-OSS-120B and Qwen3-Coder-Next-FP8.
Unlike simple "toy" examples, these architectures model realistic enterprise systems complete with client… See the full description on the dataset page: https://huggingface.co/datasets/autoshift/Technical-Architectures-Large.