bicycle
Datasets
All datasets matching “bicycle”ruler-300-seed42
Frozen RULER 300, seed 42
This dataset freezes the exact RULER inputs used by the
short-long-pretraining native evaluation suite.
Repository: bicycleman15/ruler-300-seed42
Rows: 6,300
Tasks: s-niah-1, s-niah-2, s-niah-3, mk1, mk2, mv, mq
Context lengths: 1024, 2048, 4096
Samples per task/length: 300
Seed: 42
Dataset SHA-256: 4d82df6f9b1f2d9c45c0a0bda8c734032e62f517b746c6351bf9c2f38335ab3d
Tokenizer SHA-256: 1f186971e25f7bda3dd6f93a100bb8fa2a6801cf8dc3807c8a8c4e45f296ab90… See the full description on the dataset page: https://huggingface.co/datasets/bicycleman15/ruler-300-seed42.fineweb_50b_none_none
fineweb_50b_none_none
Tokenized FineWeb-Edu sample-100BT (no document-length filter).
Tokenizer: NousResearch/Llama-2-7b-hf (Llama-2, vocab 32k)
Format: uint16 NumPy shards (shard_train_*.npy, shard_val_*.npy)
Size: 50B train tokens, 100M validation tokens, 100M tokens per shard
Each document is prefixed with the EOS token
License: ODC-By 1.0 (same as FineWeb-Edu). Also subject to Common Crawl Terms of Use.
bicyclebicycle_maintenance
Dataset Card for bicycle_maintenance
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Dataset Summary
This dataset contains:
A dataset configuration file conforming to the Argilla dataset format named argilla.yaml. This configuration file will be used to configure the dataset when using the… See the full description on the dataset page: https://huggingface.co/datasets/burtenshaw/bicycle_maintenance.bicycle30b_lcbtop65_st_320x8k_30_v4_new