rijuludar/slm-124M-llama32k-fwedu
Text Generation • 0.1B • Updated • 3
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
uploaded_chunks: list<item: string>
child 0, item: string
pending_tokens: list<item: null>
child 0, item: null
version_published: bool
sample_index: int64
total_samples: int64
has_leftover: bool
chunk_hashes: struct<fwedu-llama32k-512-0001.bin: string, fwedu-llama32k-512-0002.bin: string, fwedu-llama32k-512- (... 13707 chars omitted)
child 0, fwedu-llama32k-512-0001.bin: string
child 1, fwedu-llama32k-512-0002.bin: string
child 2, fwedu-llama32k-512-0003.bin: string
child 3, fwedu-llama32k-512-0004.bin: string
child 4, fwedu-llama32k-512-0005.bin: string
child 5, fwedu-llama32k-512-0006.bin: string
child 6, fwedu-llama32k-512-0007.bin: string
child 7, fwedu-llama32k-512-0008.bin: string
child 8, fwedu-llama32k-512-0009.bin: string
child 9, fwedu-llama32k-512-0010.bin: string
child 10, fwedu-llama32k-512-0011.bin: string
child 11, fwedu-llama32k-512-0012.bin: string
child 12, fwedu-llama32k-512-0013.bin: string
child 13, fwedu-llama32k-512-0014.bin: string
child 14, fwedu-llama32k-512-0015.bin: string
child 15, fwedu-llama32k-512-0016.bin: string
child 16, fwedu-llama32k-512-0017.bin: string
child 17, fwedu-llama32k-512-0018.bin: string
child 18, fwedu-llama32k-512-0019.bin: string
child 19, fwedu-llama32k-512-0020.bin: string
child 20, fwedu-llama32k-512-0021.bin: string
child 21, fwedu-llama32k-512-0022.bin: string
child 22, fwedu-llama32k-512-0023.bin: string
child 23, fwedu-llama32k-512-0024.bin: string
child 24, fwedu-
...
n: string
child 345, fwedu-llama32k-512-0346.bin: string
child 346, fwedu-llama32k-512-0347.bin: string
child 347, fwedu-llama32k-512-0348.bin: string
child 348, fwedu-llama32k-512-0349.bin: string
child 349, fwedu-llama32k-512-0350.bin: string
child 350, fwedu-llama32k-512-0351.bin: string
child 351, fwedu-llama32k-512-0352.bin: string
child 352, fwedu-llama32k-512-0353.bin: string
child 353, fwedu-llama32k-512-0354.bin: string
child 354, fwedu-llama32k-512-0355.bin: string
child 355, fwedu-llama32k-512-0356.bin: string
child 356, fwedu-llama32k-512-0357.bin: string
child 357, fwedu-llama32k-512-0358.bin: string
child 358, fwedu-llama32k-512-0359.bin: string
child 359, fwedu-llama32k-512-0360.bin: string
child 360, fwedu-llama32k-512-0361.bin: string
child 361, fwedu-llama32k-512-0362.bin: string
child 362, fwedu-llama32k-512-0363.bin: string
child 363, fwedu-llama32k-512-0364.bin: string
child 364, fwedu-llama32k-512-0365.bin: string
child 365, fwedu-llama32k-512-0366.bin: string
child 366, fwedu-llama32k-512-0367.bin: string
child 367, fwedu-llama32k-512-0368.bin: string
child 368, fwedu-llama32k-512-0369.bin: string
child 369, fwedu-llama32k-512-0370.bin: string
child 370, fwedu-llama32k-512-0371.bin: string
child 371, fwedu-llama32k-512-0372.bin: string
child 372, fwedu-llama32k-512-0373.bin: string
file_index: int64
completed_chunks: list<item: string>
child 0, item: string
chunk_number: int64
total_tokens: int64
to
{'file_index': Value('int64'), 'sample_index': Value('int64'), 'chunk_number': Value('int64'), 'total_tokens': Value('int64'), 'total_samples': Value('int64'), 'completed_chunks': List(Value('string')), 'chunk_hashes': {'fwedu-llama32k-512-0001.bin': Value('string'), 'fwedu-llama32k-512-0002.bin': Value('string'), 'fwedu-llama32k-512-0003.bin': Value('string'), 'fwedu-llama32k-512-0004.bin': Value('string'), 'fwedu-llama32k-512-0005.bin': Value('string'), 'fwedu-llama32k-512-0006.bin': Value('string'), 'fwedu-llama32k-512-0007.bin': Value('string'), 'fwedu-llama32k-512-0008.bin': Value('string'), 'fwedu-llama32k-512-0009.bin': Value('string'), 'fwedu-llama32k-512-0010.bin': Value('string'), 'fwedu-llama32k-512-0011.bin': Value('string'), 'fwedu-llama32k-512-0012.bin': Value('string'), 'fwedu-llama32k-512-0013.bin': Value('string'), 'fwedu-llama32k-512-0014.bin': Value('string'), 'fwedu-llama32k-512-0015.bin': Value('string'), 'fwedu-llama32k-512-0016.bin': Value('string'), 'fwedu-llama32k-512-0017.bin': Value('string'), 'fwedu-llama32k-512-0018.bin': Value('string'), 'fwedu-llama32k-512-0019.bin': Value('string'), 'fwedu-llama32k-512-0020.bin': Value('string'), 'fwedu-llama32k-512-0021.bin': Value('string'), 'fwedu-llama32k-512-0022.bin': Value('string'), 'fwedu-llama32k-512-0023.bin': Value('string'), 'fwedu-llama32k-512-0024.bin': Value('string'), 'fwedu-llama32k-512-0025.bin': Value('string'), 'fwedu-llama32k-512-0026.bin': Value('string'), 'fwedu-llama32k-512-0027.bin': V
...
-0343.bin': Value('string'), 'fwedu-llama32k-512-0344.bin': Value('string'), 'fwedu-llama32k-512-0345.bin': Value('string'), 'fwedu-llama32k-512-0346.bin': Value('string'), 'fwedu-llama32k-512-0347.bin': Value('string'), 'fwedu-llama32k-512-0348.bin': Value('string'), 'fwedu-llama32k-512-0349.bin': Value('string'), 'fwedu-llama32k-512-0350.bin': Value('string'), 'fwedu-llama32k-512-0351.bin': Value('string'), 'fwedu-llama32k-512-0352.bin': Value('string'), 'fwedu-llama32k-512-0353.bin': Value('string'), 'fwedu-llama32k-512-0354.bin': Value('string'), 'fwedu-llama32k-512-0355.bin': Value('string'), 'fwedu-llama32k-512-0356.bin': Value('string'), 'fwedu-llama32k-512-0357.bin': Value('string'), 'fwedu-llama32k-512-0358.bin': Value('string'), 'fwedu-llama32k-512-0359.bin': Value('string'), 'fwedu-llama32k-512-0360.bin': Value('string'), 'fwedu-llama32k-512-0361.bin': Value('string'), 'fwedu-llama32k-512-0362.bin': Value('string'), 'fwedu-llama32k-512-0363.bin': Value('string'), 'fwedu-llama32k-512-0364.bin': Value('string'), 'fwedu-llama32k-512-0365.bin': Value('string'), 'fwedu-llama32k-512-0366.bin': Value('string'), 'fwedu-llama32k-512-0367.bin': Value('string'), 'fwedu-llama32k-512-0368.bin': Value('string'), 'fwedu-llama32k-512-0369.bin': Value('string'), 'fwedu-llama32k-512-0370.bin': Value('string'), 'fwedu-llama32k-512-0371.bin': Value('string'), 'fwedu-llama32k-512-0372.bin': Value('string'), 'fwedu-llama32k-512-0373.bin': Value('string')}, 'has_leftover': Value('bool')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
uploaded_chunks: list<item: string>
child 0, item: string
pending_tokens: list<item: null>
child 0, item: null
version_published: bool
sample_index: int64
total_samples: int64
has_leftover: bool
chunk_hashes: struct<fwedu-llama32k-512-0001.bin: string, fwedu-llama32k-512-0002.bin: string, fwedu-llama32k-512- (... 13707 chars omitted)
child 0, fwedu-llama32k-512-0001.bin: string
child 1, fwedu-llama32k-512-0002.bin: string
child 2, fwedu-llama32k-512-0003.bin: string
child 3, fwedu-llama32k-512-0004.bin: string
child 4, fwedu-llama32k-512-0005.bin: string
child 5, fwedu-llama32k-512-0006.bin: string
child 6, fwedu-llama32k-512-0007.bin: string
child 7, fwedu-llama32k-512-0008.bin: string
child 8, fwedu-llama32k-512-0009.bin: string
child 9, fwedu-llama32k-512-0010.bin: string
child 10, fwedu-llama32k-512-0011.bin: string
child 11, fwedu-llama32k-512-0012.bin: string
child 12, fwedu-llama32k-512-0013.bin: string
child 13, fwedu-llama32k-512-0014.bin: string
child 14, fwedu-llama32k-512-0015.bin: string
child 15, fwedu-llama32k-512-0016.bin: string
child 16, fwedu-llama32k-512-0017.bin: string
child 17, fwedu-llama32k-512-0018.bin: string
child 18, fwedu-llama32k-512-0019.bin: string
child 19, fwedu-llama32k-512-0020.bin: string
child 20, fwedu-llama32k-512-0021.bin: string
child 21, fwedu-llama32k-512-0022.bin: string
child 22, fwedu-llama32k-512-0023.bin: string
child 23, fwedu-llama32k-512-0024.bin: string
child 24, fwedu-
...
n: string
child 345, fwedu-llama32k-512-0346.bin: string
child 346, fwedu-llama32k-512-0347.bin: string
child 347, fwedu-llama32k-512-0348.bin: string
child 348, fwedu-llama32k-512-0349.bin: string
child 349, fwedu-llama32k-512-0350.bin: string
child 350, fwedu-llama32k-512-0351.bin: string
child 351, fwedu-llama32k-512-0352.bin: string
child 352, fwedu-llama32k-512-0353.bin: string
child 353, fwedu-llama32k-512-0354.bin: string
child 354, fwedu-llama32k-512-0355.bin: string
child 355, fwedu-llama32k-512-0356.bin: string
child 356, fwedu-llama32k-512-0357.bin: string
child 357, fwedu-llama32k-512-0358.bin: string
child 358, fwedu-llama32k-512-0359.bin: string
child 359, fwedu-llama32k-512-0360.bin: string
child 360, fwedu-llama32k-512-0361.bin: string
child 361, fwedu-llama32k-512-0362.bin: string
child 362, fwedu-llama32k-512-0363.bin: string
child 363, fwedu-llama32k-512-0364.bin: string
child 364, fwedu-llama32k-512-0365.bin: string
child 365, fwedu-llama32k-512-0366.bin: string
child 366, fwedu-llama32k-512-0367.bin: string
child 367, fwedu-llama32k-512-0368.bin: string
child 368, fwedu-llama32k-512-0369.bin: string
child 369, fwedu-llama32k-512-0370.bin: string
child 370, fwedu-llama32k-512-0371.bin: string
child 371, fwedu-llama32k-512-0372.bin: string
child 372, fwedu-llama32k-512-0373.bin: string
file_index: int64
completed_chunks: list<item: string>
child 0, item: string
chunk_number: int64
total_tokens: int64
to
{'file_index': Value('int64'), 'sample_index': Value('int64'), 'chunk_number': Value('int64'), 'total_tokens': Value('int64'), 'total_samples': Value('int64'), 'completed_chunks': List(Value('string')), 'chunk_hashes': {'fwedu-llama32k-512-0001.bin': Value('string'), 'fwedu-llama32k-512-0002.bin': Value('string'), 'fwedu-llama32k-512-0003.bin': Value('string'), 'fwedu-llama32k-512-0004.bin': Value('string'), 'fwedu-llama32k-512-0005.bin': Value('string'), 'fwedu-llama32k-512-0006.bin': Value('string'), 'fwedu-llama32k-512-0007.bin': Value('string'), 'fwedu-llama32k-512-0008.bin': Value('string'), 'fwedu-llama32k-512-0009.bin': Value('string'), 'fwedu-llama32k-512-0010.bin': Value('string'), 'fwedu-llama32k-512-0011.bin': Value('string'), 'fwedu-llama32k-512-0012.bin': Value('string'), 'fwedu-llama32k-512-0013.bin': Value('string'), 'fwedu-llama32k-512-0014.bin': Value('string'), 'fwedu-llama32k-512-0015.bin': Value('string'), 'fwedu-llama32k-512-0016.bin': Value('string'), 'fwedu-llama32k-512-0017.bin': Value('string'), 'fwedu-llama32k-512-0018.bin': Value('string'), 'fwedu-llama32k-512-0019.bin': Value('string'), 'fwedu-llama32k-512-0020.bin': Value('string'), 'fwedu-llama32k-512-0021.bin': Value('string'), 'fwedu-llama32k-512-0022.bin': Value('string'), 'fwedu-llama32k-512-0023.bin': Value('string'), 'fwedu-llama32k-512-0024.bin': Value('string'), 'fwedu-llama32k-512-0025.bin': Value('string'), 'fwedu-llama32k-512-0026.bin': Value('string'), 'fwedu-llama32k-512-0027.bin': V
...
-0343.bin': Value('string'), 'fwedu-llama32k-512-0344.bin': Value('string'), 'fwedu-llama32k-512-0345.bin': Value('string'), 'fwedu-llama32k-512-0346.bin': Value('string'), 'fwedu-llama32k-512-0347.bin': Value('string'), 'fwedu-llama32k-512-0348.bin': Value('string'), 'fwedu-llama32k-512-0349.bin': Value('string'), 'fwedu-llama32k-512-0350.bin': Value('string'), 'fwedu-llama32k-512-0351.bin': Value('string'), 'fwedu-llama32k-512-0352.bin': Value('string'), 'fwedu-llama32k-512-0353.bin': Value('string'), 'fwedu-llama32k-512-0354.bin': Value('string'), 'fwedu-llama32k-512-0355.bin': Value('string'), 'fwedu-llama32k-512-0356.bin': Value('string'), 'fwedu-llama32k-512-0357.bin': Value('string'), 'fwedu-llama32k-512-0358.bin': Value('string'), 'fwedu-llama32k-512-0359.bin': Value('string'), 'fwedu-llama32k-512-0360.bin': Value('string'), 'fwedu-llama32k-512-0361.bin': Value('string'), 'fwedu-llama32k-512-0362.bin': Value('string'), 'fwedu-llama32k-512-0363.bin': Value('string'), 'fwedu-llama32k-512-0364.bin': Value('string'), 'fwedu-llama32k-512-0365.bin': Value('string'), 'fwedu-llama32k-512-0366.bin': Value('string'), 'fwedu-llama32k-512-0367.bin': Value('string'), 'fwedu-llama32k-512-0368.bin': Value('string'), 'fwedu-llama32k-512-0369.bin': Value('string'), 'fwedu-llama32k-512-0370.bin': Value('string'), 'fwedu-llama32k-512-0371.bin': Value('string'), 'fwedu-llama32k-512-0372.bin': Value('string'), 'fwedu-llama32k-512-0373.bin': Value('string')}, 'has_leftover': Value('bool')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
FineWeb-Edu Pre-Tokenized (huggyllama/llama-7b)
Pre-tokenized HuggingFaceFW/fineweb-edu
(sample/350BT, score >= 3).
Format
| Property | Value |
|---|---|
| Tokenizer | huggyllama/llama-7b |
| Vocab | 32,000 |
| dtype | uint16 |
| Chunk | 512 MB |
| Tokens/chunk | 268,435,456 |
| Block size | 1024 |
| Blocks/chunk | 262,144 |
| Total chunks | 373 |
| Total tokens | 100.13B (100,126,425,088) |
| Target tokens | 100.00B (100,000,000,000) |
| Shuffled | Yes (source pre-shuffled) |
Packing
Each document: [BOS] doc_tokens [EOS]
All concatenated into a continuous stream, sliced into 1024-token blocks.
Usage
import numpy as np
tokens = np.fromfile("data/fwedu-llama32k-512-0001.bin", dtype=np.uint16)
sequences = tokens.reshape(-1, 1024) # (262144, 1024)
Integrity
import hashlib, json
info = json.load(open("sample_info.json"))
for name, meta in info["chunks"].items():
h = hashlib.sha256(open("data/" + name, "rb").read()).hexdigest()
assert h == meta["sha256"], name + " corrupted!"
Files
-- dataset_info.json
-- sample_info.json
-- tokenizer/
-- data/*.bin
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