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: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 257, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, 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 271, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or valueNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Custom 32k SLM Tokenizer
This dataset repository contains a custom 32,768-token BPE tokenizer trained for Small Language Models (SLMs).
It was created using the regex pre-tokenizer rules from Qwen/Qwen2.5-Coder-0.5B.
Tokenizer Details
- Total Vocabulary Size: 32,768
- BPE Tokens (pure text/bytes): 32,700
- Registered Special Tokens: 68 (0 Qwen-inherited + 68 newly injected)
- Functional Pad Token:
<pad>(ID:32703) - Alignment Filler Tokens (null pads): 0
Training Corpus
The tokenizer was trained on a balanced mixture of 5 domains, collecting up to 100,000 samples from each:
- Web:
HuggingFaceFW/fineweb-edu(subset:sample-100BT) - Synthetic:
HuggingFaceTB/smollm-corpus(subset:cosmopedia-v2) - Wiki:
HuggingFaceFW/finewiki(subset:en) - Math:
HuggingFaceTB/finemath(subset:finemath-4plus) - Python Code:
rijuludar/stackedu-en(data_dir:data/python)
Special Tokens Structure
The tokenizer includes the following special tokens for structured formatting, reasoning, tools, and fill-in-the-middle (FIM) tasks. They exist cleanly at the end of the vocabulary map (IDs 32700 - 32767).
<s>
</s>
<|endoftext|>
<pad>
<|im_start|>
<|im_end|>
<|fim_prefix|>
<|fim_middle|>
<|fim_suffix|>
<think>
</think>
<|step_start|>
<|step_end|>
<search>
</search>
<tool_call>
</tool_call>
<tool_response>
</tool_response>
<|reserved_0|>
<|reserved_1|>
<|reserved_2|>
<|reserved_3|>
<|reserved_4|>
<|reserved_5|>
<|reserved_6|>
<|reserved_7|>
<|reserved_8|>
<|reserved_9|>
<|reserved_10|>
<|reserved_11|>
<|reserved_12|>
<|reserved_13|>
<|reserved_14|>
<|reserved_15|>
<|reserved_16|>
<|reserved_17|>
<|reserved_18|>
<|reserved_19|>
<|reserved_20|>
<|reserved_21|>
<|reserved_22|>
<|reserved_23|>
<|reserved_24|>
<|reserved_25|>
<|reserved_26|>
<|reserved_27|>
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<|reserved_48|>
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