clm
Datasets
All datasets matching “clm”clmm-benchmarkmSCANclmet_3_1
Dataset Card for clmet_3_1
NOTES:
Some of the annotations in the class and pos configs are not properly formed. These are indicated with warning messages when the dataset is loaded.
In addition to the classes mentioned in the README for the dataset, there is an additional class in the class dataset called QUOT. As far as I can tell, this is used for tagging all quotation marks
When the class and pos configs are loaded, the available class/pos tags are shown at the top… See the full description on the dataset page: https://huggingface.co/datasets/biglam/clmet_3_1.cl-macros
Common Lisp Macro Transformations
A fine-tuning dataset for training models to generate Common Lisp macros.
Each example is a call-form, macro-definition, and expanded-form triple.
Summary
4,267 examples from 120+ Common Lisp libraries
Split: 2,985 train / 637 validation / 645 test
Format: JSONL with instruction, input, output, category, technique, complexity, quality_score
Mean quality score: 0.80
Sources: Let Over Lambda, On Lisp, Alexandria, Serapeum, Iterate… See the full description on the dataset page: https://huggingface.co/datasets/j14i/cl-macros.romansh-grischun-morphological-corpus
Romansh Grischun Morphological Corpus
A morphologically annotated corpus of Rumantsch Grischun, the standardized written variety of Romansh.
Dataset Summary
This dataset provides gold-standard morphosyntactically annotated and lemmatized corpora for Rumantsch Grischun (standard written Romansh, ISO 639-3: roh), a national language of Switzerland.
The primary annotation layer preserves the rich Xerox/Foma two-level morphological tags used by the finite-state… See the full description on the dataset page: https://huggingface.co/datasets/simon-clmtd/romansh-grischun-morphological-corpus.gpt1900-physics-clm
GPT-1900 Physics CLM Data
Physics-domain text for continued pretraining (causal language modeling) of GPT-1900. This dataset contains chunks of text from seminal pre-1905 physics works — Newton's Principia, Maxwell's Treatise on Electricity and Magnetism, Faraday's Experimental Researches, Boltzmann, Gibbs, Hertz, and many others.
Used to specialize the base GPT-1900 model toward physics reasoning before instruction tuning and reinforcement learning.
Stats
Split… See the full description on the dataset page: https://huggingface.co/datasets/mhla/gpt1900-physics-clm.