datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
molt-benchmark-results
Molt · elastic on-device inference measurements
Everything measured while building Molt, a
runtime that moves a running generation onto a smaller model between two
tokens, carrying the KV cache across, so an on-device LLM under memory pressure
is neither reclaimed by the OS nor restarted from the prompt.
Published so the claims can be checked rather than taken on trust. The figures in
the repo README and the results page are generated from these files; nothing is
transcribed by… See the full description on the dataset page: https://huggingface.co/datasets/NagaYu/molt-benchmark-results.nagamese-english-mt
Nagamese-English Machine Translation Corpus
Dataset Summary
This dataset contains 3,340 parallel sentence pairs in English and
Nagamese (Naga Pidgin), intended for training and evaluating machine
translation systems between the two languages. It has already been used to
fine-tune at least one NLLB-200-based translation model
(agnivamaiti/nllb-200-en-nagamese).
This is the first dataset card written for this dataset — no card
existed on the repository prior to this… See the full description on the dataset page: https://huggingface.co/datasets/agnivamaiti/nagamese-english-mt.naga-eng-fullgrasp_bboxnaga-engEnglish-NagameseJLPT_Applicants_by_TestSiteI collected the “Applicants & Examinees by Test Site” data for the Japanese Language Proficiency Test (JLPT) from 2010 to 2024 directly from the Japan Foundation’s website.
Used the open-source tool Tabula. With this dataset, there are several interesting areas for exploration as a data analyst or researcher:
📊 Possible Analysis Directions:
Year-wise trends in applicants & examinees across test sites.
Geographical distribution of test-takers to spot high-participation vs underserved areas.… See the full description on the dataset page: https://huggingface.co/datasets/naga2hands/JLPT_Applicants_by_TestSite.nagamese2englishplay-store-revenue-analysis