| --- |
| 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") |
| ``` |
