Open Datasets & Verified Research Whitepapers
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Curated high-density STEM pretraining corpora, SymPy CAS verified mathematics, research whitepapers, and live interactive Spaces. • 4 items • Updated
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Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
raise DataFilesNotFoundError("No task.toml or instruction.md files found")
datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
🏛️ Vigyan AI: Sovereign STEM Research Paper Series (2026)
Official open-access technical research papers detailing the sovereign architectures, post-training paradigms, and neuro-symbolic verification engines developed for the Vigyan AI foundation model family.
Author: Shreyansh Singh
Affiliation: Founder & Lead Researcher, Vigyan AI / ExperimentLab.in, Varanasi, India
License: CC BY-NC 4.0
GitHub Repository: shreyansh001boy-tech/vigyan-ai-journey-docs
📚 Included Papers & Artifacts
| Vol | Research Paper | Artifacts | Target Weights |
|---|---|---|---|
| 01 | Sparse Mixture-of-Experts (MoE) Upcycling & Router Stabilization | papers/01-sparse-moe-upcycling/ (.md, .tex, .bib) |
Vigyan-1.5B-4x-MoE |
| 02 | Depth Up-Scaling (DUS) & Seam Healing via Continual Pre-Training | papers/02-depth-up-scaling-seam-healing/ (.md, .tex, .bib) |
Shreyansh-STEM-AI-2B-v3 |
| 03 | Tool-Augmented Direct Preference Optimization & Symbolic Grounding | papers/03-tool-augmented-dpo/ (.md, .tex, .bib) |
Vigyan-7B-STEM-DPO-v1 |
| 04 | Test-Time Compute Elicitation via GRPO on Edge SLMs | papers/04-grpo-reasoning-rl/ (.md, .tex, .bib) |
vigyan-2b-reasoning-grpo |
| 05 | A Deterministic Neuro-Symbolic Evaluation Harness (GraphRAG + AST) | papers/05-neuro-symbolic-evaluation/ (.md, .tex, .bib) |
Vigyan-7B-STEM-Instruct-v1 |
📥 Citation
To cite this series or individual whitepapers:
@collection{vigyan_ai_papers_2026,
title = {Vigyan AI: Sovereign STEM Reasoning Research Series},
author = {Singh, Shreyansh},
year = {2026},
publisher = {Vigyan AI / ExperimentLab.in},
url = {https://huggingface.co/datasets/shreyansh12183/vigyan-ai-research-papers}
}
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