size_categories:10K<n<100K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: conversations
    list:
    - name: from
      dtype: string
    - name: value
      dtype: string
  - name: type
    dtype: string
  - name: language
    dtype: string
  - name: source
    dtype: string
  - name: class
    dtype: string
  splits:
  - name: train
    num_bytes: 68340669.30229135
    num_examples: 55436
  download_size: 27859842
  dataset_size: 68340669.30229135
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

```python
from datasets import load_dataset
dataset = load_dataset("FreedomIntelligence/ApolloMoEDataset", data_files="ApolloMoEDataset.json", split="train")
filtered_dataset = dataset.filter(lambda ex: ex['type']!="general" and ex['language']=="ko")
```

At first glance, its quality is not bad.