QuickCoder-Dataset / README.md
aisamdasu's picture
Add dataset card
0c0fd36 verified
|
Raw
History Blame
2.8 kB
---
license: other
language:
- ko
- en
tags:
- code
- fill-in-the-middle
- jsonl
- tokenizer
- moe
- dense
pretty_name: FABLE 5 Code FIM Upload Checkpoints
size_categories:
- 10B<n<100B
---
# FABLE 5 Code FIM Upload Checkpoints
This dataset repository stores upload-ready JSONL training checkpoints for code
completion and fill-in-the-middle training. Checkpoints are appended in
approximately 20 GiB units so they can also be copied to Google Drive and loaded
from Colab/H100 training jobs without requiring one huge monolithic archive.
## Current Upload Status
Only validation-passing checkpoints should be uploaded or used for training.
| Checkpoint | Size | JSONL | In-bundle duplicates | Status |
| --- | ---: | --- | ---: | --- |
| `checkpoint_20260611_104104_bundle01_20g` | 19.04 GiB | valid | 0 | upload-ready |
| `checkpoint_20260611_104435_bundle02_20g` | 20.00 GiB | valid | 47,072 | blocked locally, not for upload |
## Repository Layout
```text
README.md
dataset_guide/
tokenizer/
dense/
moe/
checkpoints/
checkpoint_YYYYMMDD_HHMMSS_bundleNN_20g/
dataset/
*.jsonl
MANIFEST.json
BALANCE_REPORT.md
CHECKSUMS.txt
tokenizer/
dense_architecture/
moe_architecture/
```
## Record Format
Each line is one UTF-8 JSON object. The main training payload is `text`.
Metadata can appear in top-level fields and in `meta`.
Common fields:
- `text`: canonical training string.
- `domain`: task family such as `code_fim` or `code_gen`.
- `difficulty`: coarse difficulty bucket.
- `meta.lang`: programming language.
- `meta.repo`, `meta.path`, `meta.license`, `meta.source`: source metadata when available.
- `meta.mode`: FIM ordering such as `psm` or `spm`.
FIM examples use explicit special tokens:
```text
<|fim_prefix|>{prefix}<|fim_suffix|>{suffix}<|fim_middle|>{middle}
```
Some FIM shards may use suffix-prefix-middle ordering for robustness.
## Source And License Notes
This is a mixed code dataset. Bundle 1 contains generated/unknown continuation
records and `the-stack-v2` FIM records with per-record source metadata such as
repository, path, and license where available. Consumers should filter by
`meta.license`, `meta.source`, and project policy before redistribution or
training.
The dataset card intentionally uses `license: other` because this repository
contains mixed-source records rather than one uniform license.
## Validation Contract
A checkpoint is upload-ready only when:
- JSONL parsing succeeds.
- Empty `text` count is zero.
- In-bundle duplicate count is zero.
- `MANIFEST.json`, `BALANCE_REPORT.md`, and `CHECKSUMS.txt` are present.
- The checkpoint contains the `tokenizer`, `dense_architecture`, and
`moe_architecture` documentation folders.
Do not train on a checkpoint marked `Not Upload Ready`.