modelscope / modelscope/ms-swift
swift有没有一种方式可以读取已经进行过分词的缓存，如arrow
Open
Nobody has claimed this yet.
stale
- Dominant language
- Python
- Stars
- 15.7k
- Forks
- 1.7k
- Avg merge
- 1d 16h
- Merged PRs (30d)
- 136
Description
训练数据量比较大，在集群进行训练，常因通信等问题崩溃，请问swift能不能通过某种方式读取本地的缓存或者tk
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue mentions large-scale training, pre-tokenized data, Arrow, and local or TK caches, but names no files or tests. Start by locating the dataset preprocessing and cache-loading entry points, then determine whether an existing cache can be reused after a communication failure. Done means the documented or implemented workflow can resume training without repeating tokenization.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100