Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: TypeError
Message: SplitInfo.__init__() got an unexpected keyword argument 'num_shards'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 612, in get_module
dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 386, in from_dataset_card_data
dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 319, in _from_yaml_dict
yaml_data["splits"] = SplitDict._from_yaml_list(yaml_data["splits"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/splits.py", line 600, in _from_yaml_list
return cls.from_split_dict(yaml_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/splits.py", line 570, in from_split_dict
split_info = SplitInfo(**split_info)
^^^^^^^^^^^^^^^^^^^^^^^
TypeError: SplitInfo.__init__() got an unexpected keyword argument 'num_shards'Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
nanochat-prepacked-fineweb-edu
Pre-tokenized and BOS-aligned best-fit packed version of FineWeb-Edu for training with looped nanochat.
Stats
Train split
| Source shards | 1,821 (shard_00000–shard_00698, shard_00701–shard_01822) |
| Total tokens | 56.80B |
| Rows | 27,720,174 |
| Shards | 1,849 (train-00000 to train-01848) |
| Rows per shard | ~15,000 |
Val split
| Source shards | 2 (shard_00699–shard_00700) |
| Total tokens | 61.4M |
| Rows | 29,952 |
| Shards | 2 (val-00000 to val-00001) |
| Rows per shard | ~15,000 |
29,952 rows is chosen for clean batching: divisible by 32, 64, and 128 (batch_size × num_gpus).
Common
| Row length | 2,049 (T+1, seq_len=2048) |
| Format | Parquet, uint16 token column |
| Tokenizer | Custom BPE (included in tokenizer/) |
Each row is a packed sequence of multiple BOS-delimited documents, cropped/filled to exactly 2049 tokens. Rows are shuffled within each shard.
- Downloads last month
- 984