accuracy
Datasets
All datasets matching “accuracy”ethereum-gas-estimator-accuracy
Ethereum gas estimator comparisons
Ethereum mainnet gas suggestions from public RPC providers, recorded alongside provider-reported head blocks and subsequent block-fee statistics. The panel supports analysis of differences in gas recommendations and their relationship to observed block conditions.
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ethereum_gas_recommendations
A provider's gas-price and priority-fee suggestions, with its reported head block
ethereum_block_fees
A… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/ethereum-gas-estimator-accuracy.bitcoin-fee-estimator-accuracy
Bitcoin fee estimator comparisons
Timestamped Bitcoin fee recommendations from public providers, paired with fee-rate percentiles from sampled transactions that were mined. The panel supports comparisons of provider recommendations across confirmation targets and network conditions.
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Table
Record
bitcoin_fee_recommendations
A provider's fee recommendation at one observation time and confirmation target
bitcoin_fee_percentile_comparisons
A… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-fee-estimator-accuracy.grammar-accuracy-qwen3.5-4b-trl-completions
TRL Completion logs
This dataset contains the completions generated during training using trl.
Find the trained model at https://huggingface.co/bihungba1101/grammar-accuracy-qwen3.5-4b-grpo.
The completions are stored in parquet files, and each file contains the completions for a single step of training (depending on the logging_steps argument).
Each file contains the following columns:
step: the step of training
prompt: the prompt used to generate the completion
completion:… See the full description on the dataset page: https://huggingface.co/datasets/bihungba1101/grammar-accuracy-qwen3.5-4b-trl-completions.RTK-SLAM-Absolute-Accuracy
RTK-SLAM Absolute Accuracy → FiftyOne (Native Multimodal MCAP)
The
RTK-SLAM dataset
from the Institute for Photogrammetry and Geoinformatics, University of
Stuttgart, published as
Willyzw/rtk-slam-dataset,
converted to native multimodal MCAP episodes.
A handheld rig carrying a Livox MID360, a global shutter camera and a GNSS
receiver is walked through a public park and a construction hall. Both block
the sky in places, including a 30 m underpass and an indoor hall spanning
more… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/RTK-SLAM-Absolute-Accuracy.essay-vocab-accuracy-qwen3.5-4b-trl-completions
TRL Completion logs
This dataset contains the completions generated during training using trl.
Find the trained model at https://huggingface.co/bihungba1101/essay-vocab-accuracy-qwen3.5-4b-grpo.
The completions are stored in parquet files, and each file contains the completions for a single step of training (depending on the logging_steps argument).
Each file contains the following columns:
step: the step of training
prompt: the prompt used to generate the completion
completion:… See the full description on the dataset page: https://huggingface.co/datasets/bihungba1101/essay-vocab-accuracy-qwen3.5-4b-trl-completions.grammar-accuracy-qwen3.5-4b-trl-grpo-vllm-colocate-completions
TRL Completion logs
This dataset contains the completions generated during training using trl.
Find the trained model at https://huggingface.co/bihungba1101/grammar-accuracy-qwen3.5-4b-trl-grpo-vllm-colocate.
The completions are stored in parquet files, and each file contains the completions for a single step of training (depending on the logging_steps argument).
Each file contains the following columns:
step: the step of training
prompt: the prompt used to generate the completion… See the full description on the dataset page: https://huggingface.co/datasets/bihungba1101/grammar-accuracy-qwen3.5-4b-trl-grpo-vllm-colocate-completions.