Datasetpublic

mlx-community/dolma3_mix-common_crawl-art_and_design-160k

The 160K subset of AllenAI's common_crawl-art_and_design Pretraining dataset split into train a valid saamples. Train set size: 159436 Valid set size: 160 Direct usage in MLX-LM-LoRA: python -m mlx_lm.lora \ --train \ --model Qwen/Qwen3-0.6B-Base \ --data mlx-community/dolma3_mix-common_crawl-art_and_design-160k \ --num-layers 4 \ --iters 1000 \ --batch-size 1 \ --steps-per-report 50 \ --max-seq-length 1028 \ --adapter-path path/to/adapter Direct usage in MLX-LM: python -m mlx_lm.lora \… See the full description on the dataset page: https://huggingface.co/datasets/mlx-community/dolma3_mix-common_crawl-art_and_design-160k.

sourceHugging Faceodc-byupdated 9mo agoView on Hugging Face

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Dataset Card

The 160K subset of AllenAI's common_crawl-art_and_design Pretraining dataset split into train a valid saamples.

text

Train set size: 159436
Valid set size: 160

Direct usage in MLX-LM-LoRA:

shell

python -m mlx_lm.lora \
--train \
--model Qwen/Qwen3-0.6B-Base \
--data mlx-community/dolma3_mix-common_crawl-art_and_design-160k \
--num-layers 4 \
--iters 1000 \
--batch-size 1 \
--steps-per-report 50 \
--max-seq-length 1028 \
--adapter-path path/to/adapter

Direct usage in MLX-LM:

shell

python -m mlx_lm.lora \
--train \
--model Qwen/Qwen3-0.6B-Base \
--data mlx-community/dolma3_mix-common_crawl-art_and_design-160k \
--num-layers 4 \
--iters 1000 \
--batch-size 1 \
--steps-per-report 50 \
--max-seq-length 1028 \
--adapter-path path/to/adapter