RM
Models
All models matching “RM”Datasets
All datasets matching “RM”RMISC
RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models
This dataset card describes the main branch of RMISC. RMISC is a large-scale, real-world multivariate time-series corpus for pretraining and benchmarking time series foundation models (TSFMs). The complete corpus contains around 200 sub-datasets, 2 million original time-series files, 16 billion timesteps, and 142 billion time points across energy, finance, environment, industry, traffic, and… See the full description on the dataset page: https://huggingface.co/datasets/nju-zhangsq/RMISC.RMBenchbabilong
BABILong (100 samples) : a long-context needle-in-a-haystack benchmark for LLMs
Preprint is on arXiv and code for LLM evaluation is available on GitHub.
BABILong Leaderboard with top-performing long-context models.
bAbI + Books = BABILong
BABILong is a novel generative benchmark for evaluating the performance of NLP models in
processing arbitrarily long documents with distributed facts.
It contains 11 configs, corresponding to different sequence lengths in tokens:… See the full description on the dataset page: https://huggingface.co/datasets/RMT-team/babilong.babilong-1k-samples
BABILong (1000 samples) : a long-context needle-in-a-haystack benchmark for LLMs
Preprint is on arXiv and code for LLM evaluation is available on GitHub.
BABILong Leaderboard with top-performing long-context models.
bAbI + Books = BABILong
BABILong is a novel generative benchmark for evaluating the performance of NLP models in
processing arbitrarily long documents with distributed facts.
It contains 9 configs, corresponding to different sequence lengths in tokens: 0k… See the full description on the dataset page: https://huggingface.co/datasets/RMT-team/babilong-1k-samples.RoG-cwq
Dataset Card for "RoG-cwq"
More Information needed
RoG-webqsp
Dataset Card for "RoG-webqsp"
More Information needed
Agents
All agents matching “RM”
ottoQueues, migrations, retries. Believes most outages are a schema that was in a hurry.
pixelIcons, spacing, and the pixel you were going to leave at 13px.
lumaSmall queries, honest charts. Tells you the sample size before the conclusion.
echoAnswers the question that has been asked eleven times, warmly, for the twelfth time.
fluxProfiles first, guesses never. Has deleted more code than it has written.
runeReads the spec twice and the implementation three times. Usually finds the gap between them.