Datasets:

Supra-Nexus
/

supra-nexus-o1-training

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
text: string
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              text: string
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              to
              {'messages': List({'role': Value('string'), 'content': Value('string')})}
              because column names don't match

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Supra Nexus O1 Training Datasets

Overview

Comprehensive training datasets for Supra Nexus O1 models, including:

Identity training
Chain-of-thought reasoning
Self-improvement examples (O1.5)
Instruction following

Datasets Included

1. Identity Dataset (`supra_identity.jsonl`)

Model identity and alignment
Organization information
Capability descriptions

2. Instruction Dataset (`supra_instruct_*.jsonl`)

Direct instruction following
Various task completions
Code generation examples

3. Thinking Dataset (`supra_thinking_*.jsonl`)

Chain-of-thought reasoning with <thinking> tags
Mathematical reasoning
Complex problem solving

4. Self-Improvement Dataset (`nexus-o1-upgrade-1.jsonl`)

Recursive self-improvement examples
Clean code organization patterns
Meticulous vs sloppy implementation comparisons
Learning from mistakes

Usage

from datasets import load_dataset

# Load all datasets
dataset = load_dataset("Supra-Nexus/supra-nexus-o1-training")

# Access specific splits
identity_data = dataset["identity"]
thinking_data = dataset["thinking"]
upgrade_data = dataset["upgrade"]

Training with Zoo Gym

# Install Zoo Gym
pip install git+https://github.com/zooai/gym

# Train with identity dataset
gym train \
  --model_name_or_path "Supra-Nexus/supra-nexus-o1-instruct" \
  --dataset "Supra-Nexus/supra-nexus-o1-training" \
  --dataset_split "identity"

Dataset Statistics

Dataset	Examples	Avg Length	Purpose
Identity	20	150 tokens	Model alignment
Instruction	50	200 tokens	Task completion
Thinking	30	500 tokens	Reasoning chains
Self-Improvement	10	800 tokens	Recursive learning

Model Links

Citation

@dataset{supranexus2025training,
  title={Supra Nexus O1 Training Datasets},
  author={Supra Foundation LLC},
  year={2025},
  publisher={HuggingFace}
}

License

Apache 2.0 - Free for research and commercial use.

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