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.
prepacked-fineweb-edu-llama2-32K-T2048
Pre-tokenized and BOS-aligned best-fit packed version of FineWeb-Edu for training with looped nanochat.
Tokenized with the Llama 2 tokenizer (32,000 base vocab + 8 special tokens = 32,008).
Stats
Train split
| Source | karpathy/fineweb-edu-100b-shuffle (1,821 shards) |
| Total tokens | 63.26B |
| Total docs | 97.1M |
| Rows | 30,873,598 |
| Shards | 2,059 (train-00000 to train-02058) |
| Rows per shard | ~15,000 |
Val split
| Source | 2 shards (shard_01821–shard_01822) |
| Total tokens | 70.9M |
| Total docs | 106,496 |
| Rows | 34,608 |
| Shards | 3 (val-00000 to val-00002) |
Common
| Row length | 2,049 (T+1, seq_len=2048) |
| Format | Parquet, uint16 token column |
| Tokenizer | Llama 2 32K (NousResearch/Llama-2-7b-hf) |
| BOS token | <s> (id=1) |
| Packing | Best-fit, BOS-aligned, buffer_size=1000 |
Each row is a packed sequence of multiple BOS-delimited documents, cropped/filled to exactly 2,049 tokens. Rows are shuffled within each shard.
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