datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
llm_speedrun
LLM Speedrun token streams
Pre-tokenized training artifacts for the LLM speedrun exercises.
File
Description
Tokens
tokenizer_50M.bpe
JSON-serialized BPE tokenizer
—
fineweb-edu-10BT.shuffle.bin
Shuffled FineWeb-Edu sample/10BT token stream
9,440,023,113
smoltalk.shuffle.bin
Shuffled SmolTalk data/all token stream
875,269,408
The .bin files are headerless, little-endian unsigned 16-bit token IDs and can be memory-mapped with NumPy:
from huggingface_hub import… See the full description on the dataset page: https://huggingface.co/datasets/zkolter/llm_speedrun.ptv3-bericht-lora-de-300
ptv3-bericht-lora-de-300
Synthetic German dataset for fine-tuning LLMs to generate structured psychotherapy reports (PTV-3 / Bericht an den Gutachter) from therapy session transcripts.
Overview
Property
Value
Samples
311 (280 train / 31 val)
Language
German
Format
ChatML JSONL (system / user / assistant)
Teacher model
Qwen2.5-27B (local)
Generation
Two-stage: seed → session transcript → PTV-3 JSON report
Schema
Each sample… See the full description on the dataset page: https://huggingface.co/datasets/speed-brain-ai/ptv3-bericht-lora-de-300.gemma4-mtp-dflash-speed-bench-results
Gemma 4 MTP vs DFlash SPEED-Bench Results
This dataset contains the raw JSON result files from a Gemma 4 speculative decoding benchmark on a single H100 80GB.
Companion GitHub repository:
https://github.com/Gladiator07/gemma4_mtp_dflash
Contents
The data/ directory contains 440 JSON files:
2 target models:
google/gemma-4-31B-it
google/gemma-4-26B-A4B-it
4 serving variants per target:
baseline decoding
MTP with num_speculative_tokens=8
MTP with num_speculative_tokens=16… See the full description on the dataset page: https://huggingface.co/datasets/Gladiator/gemma4-mtp-dflash-speed-bench-results.