Hi, Jonas. I would like to ask how to load local data. Specifically, I first downloade

How to load local data about cramming HOT 2 CLOSED

Doraemonzzz commented on June 16, 2024

How to load local data

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Comments (2)

Doraemonzzz commented on June 16, 2024

After a series of attempts, it seems to have succeeded. I've listed the process below for others to reference.
First, create a new file pile-readymade-local.yaml, with the content as follows:

# Draw a preprocessed dataset directly from my HF profile.
# This dataset is already tokenized, you "have" to load the correct tokenizer (which happens automatically with data.load_pretraining_corpus)
name: the_pile_WordPiecex32768
name_proc: the_pile_WordPiecex32768_2efdb9d060d1ae95faf952ec1a50f020
sources:
  hub:
    provider: local
streaming: True

vocab_size: 32768 # cannot be changed!
seq_length: 128 # cannot be changed!

Then, modify line 35 of load_pretraining_corpus in cramming/cramming/data/pretraining_preparation.py to:

    try:
        processed_dataset_dir = cfg_data.name_proc
    except:
        processed_dataset_dir = f"{cfg_data.name}_{checksum}"

Change the original line 47 tokenized_dataset = datasets.load_from_disk(data_path) to:

if cfg_data is not None:
    tokenized_dataset = datasets.load_dataset(data_path)["train"].with_format("torch")
else:
    tokenized_dataset = datasets.load_from_disk(data_path)

Finally, use the following command to train:

python pretrain.py \
    name=amp_b8192_cb_o4_final arch=crammed-bert \
    train=bert-o4  data=pile-readymade-local

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JonasGeiping commented on June 16, 2024

Ok, I'm glad you got it working!

This was never a usecase I had before, given that I have the originals. I'll close this issue for now, but people will be able to find it through the search.

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