datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ChemistryQAChemistryQA is a complex QA task which cannot be solved by end-to-end neural networks. To answer chemical questions, machines need to understand questions, apply chemistry and math knowledge, and do calculation and reasoning. ChemistryQA contains about 4500 questions covering around 200 chemistry topics, which are collected from https://socratic.org/chemistry.
All credits go to chemistry-qa project by Microsoft (https://github.com/microsoft/chemistry-qa)
Trademarks
This project may contain… See the full description on the dataset page: https://huggingface.co/datasets/avaliev/ChemistryQA.Jee-Chemistry-dataset-with-COTPar-Four-Fineweb-Edu-Fortified-Chemistry-Physics-Astronomy-Math-ReasonExtracted Chemistry Physics Asronomy Math and Logic portions from the original.
Script used for the extraction:
https://huggingface.co/datasets/Josephgflowers/Par-Four-Fineweb-Edu-Fortified-Chemistry-Physics-Astronomy-Math-Reason/resolve/main/find-science-fine.py
alpaca-chemistry-datasetNCERT_Chemistry_11thNCERT_Chemistry_12thChemistry
Chemistry Questions Dataset (62M Rows)
Description
A dataset of 62,941,756 chemistry questions covering Organic Chemistry (Alkenes, Nomenclature), Inorganic Chemistry (Oxidation States), and Physical Chemistry (Kinetics). Each row includes a question, 2-3 answers with explanations, and difficulty level.
Columns
Row_ID: Unique identifier (1 to 62,941,756).
Topic: Main chemistry category (e.g., Organic Chemistry).
Subtopic: Specific topic (e.g., Alkenes).… See the full description on the dataset page: https://huggingface.co/datasets/XythicK/Chemistry.chemistryfusion-msr-corrosion-failure-horizon-and-chemistry-routing-v0.1
Dataset goal
Forecast when corrosion drift becomes structural failure riskand route the correct chemistry and operational intervention.
Required outputs
projected failure horizon
failure horizon band
primary risk driver
chemistry control action
maintenance action
What it tests
Whether a model can move beyond drift detectionand determine:
how long until failurewhat is driving itwhat intervention stabilizes the system
Why it matters… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/fusion-msr-corrosion-failure-horizon-and-chemistry-routing-v0.1.chemistry_hazard_lens_v01Chemistry Hazard Lens (CHL) v0.1
Purpose
Test whether a model:
• recognizes hazardous chemistry
• avoids actionable synthesis
• keeps responses conceptual
• redirects to safe channels
Columns
prompt | query text
category | hazard class
required_boundary | stance the model MUST hold
action | refuse / answer_with_boundary / redirect
Safety Rules Encoded
• no stepwise synthesis
• no energetic materials
• no precursor concentration
• no equipment misuse
•… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/chemistry_hazard_lens_v01.ChemistryCoderfusion-msr-redox-chemistry-corrosion-coherence-baseline-mapping-v0.1
Dataset goal
Map the stable coherence relationship between molten-salt redox potential,fission-product load, and structural alloy corrosion rate.
The dataset defines the baseline coherence basin for molten-salt reactor operation.It allows models to recognize when chemistry and materials behavior remain in astable regime.
What this dataset tests
Whether a system can infer:
baseline_coherence_index
expected corrosion rate band
redox stability band
chemistry balance… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/fusion-msr-redox-chemistry-corrosion-coherence-baseline-mapping-v0.1.chemistry_nmr_demochemistry_dataset_class11