---
dataset_info:
  features:
  - name: inputs
    dtype: string
  - name: targets
    dtype: string
  - name: _template_idx
    dtype: int64
  - name: _task_source
    dtype: string
  - name: _task_name
    dtype: string
  - name: _template_type
    dtype: string
  - name: messages
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  splits:
  - name: train
    num_bytes: 65571665.16636661
    num_examples: 25000
  - name: val
    num_bytes: 2622866.606654664
    num_examples: 1000
  - name: test
    num_bytes: 13114333.03327332
    num_examples: 5000
  download_size: 44610750
  dataset_size: 81308864.80629459
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: val
    path: data/val-*
  - split: test
    path: data/test-*
---



```python
from datasets import load_dataset, DatasetDict

def length_filter(example):
    input_len = len(example["inputs"])
    output_len = len(example["targets"])
    return input_len <= 20_000 and output_len <= 2_500

dataset = load_dataset("ai2-adapt-dev/flan_v2_converted", split='train')
dataset = dataset.filter(length_filter)
dataset = dataset.shuffle(seed=42)

train = dataset.select(range(25_000))
val = dataset.select(range(25_000, 26_000))
test = dataset.select(range(26_000, 31_000))

dataset = DatasetDict({"train": train, "val": val, "test": test})
dataset.push_to_hub("kh4dien/flan_v2")
```