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 1032, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1007, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 607, 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'

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Stage 1 (S1): General Knowledge Anchor — 6M FineWeb-Edu-Dedup

1. Project Overview

This dataset represents the General Knowledge Acquisition Phase (S1) for a research project focused on developing a Domain-Adaptive LLM for ISO 27001 Information Security Auditing.

S1 serves as the cognitive foundation. This corpus is designed to establish high-level linguistic proficiency and general reasoning before the introduction of specialized regulatory standards in Stage 2.

2. Dataset Summary

Total Samples: 6,000,000
Primary Source: HuggingFaceTB/smollm-corpus
Role: General Reasoning & Scientific Logic Base.

3. Sourcing & Preprocessing (S1 Methodology)

The sourcing logic for this 6M slice prioritized Knowledge Density over raw volume:

Educational Filtering: Only samples with a high "educational score" (classifier-based) were retained to ensure the model learns professional and structured language.
Sharding: Organized into 120 Parquet shards to support high-throughput, multi-node training.

4. Technical Specifications

Parameter	Value
Format	Parquet (Compressed)
Average Sequence Length	600 - 4096 tokens
Language	English (High-Proficiency)

5. Usage in Continual Pre-training

This dataset is intended to be interleaved with Math/Code and Multilingual streams to reach a Stage 1 target of 10B tokens.

Loading for Training (Streaming)

from datasets import load_dataset
dataset = load_dataset("JoTeqtheFirstAI/fineweb-edu-dedup6m", split="train", streaming=True)

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