datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cornstack-ruby-v1
CoRNStack Ruby Dataset
The CoRNStack Dataset, accepted to ICLR 2025, is a large-scale high quality training dataset specifically for code retrieval across multiple
programming languages. This dataset comprises of <query, positive, negative> triplets used to train nomic-embed-code,
CodeRankEmbed, and CodeRankLLM.
CoRNStack Dataset Curation
Starting with the deduplicated Stackv2, we create text-code pairs from function docstrings and respective code. We filtered out… See the full description on the dataset page: https://huggingface.co/datasets/nomic-ai/cornstack-ruby-v1.code-text-ruby
Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-text/ruby in Semeru
CodeXGLUE -- Code-To-Text
Task Definition
The task is to generate natural language comments for a code, and evaluted by smoothed bleu-4 score.
Dataset
The dataset we use comes from CodeSearchNet and we filter the dataset as the following:
Remove… See the full description on the dataset page: https://huggingface.co/datasets/semeru/code-text-ruby.Ruby-Code-Large
Ruby-Code-Large
Ruby-Code-Large is a large-scale corpus of Ruby programming language source code comprising 331,743 code samples stored in .jsonl format. The dataset is designed to support research and development in large language model (LLM) pretraining, static analysis, web application development, and software engineering automation within the Ruby ecosystem.
By offering a substantial, language-focused dataset, Ruby-Code-Large enables targeted experimentation in dynamic… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Ruby-Code-Large.RubyCraft-3.4-Instruct
RubyCraft-3.4-Instruct
RubyCraft-3.4-Instruct is a synthetically generated and rigorously filtered dataset designed to rapidly adapt Small Language Models (SLMs) to the latest programming language specifications, specifically Ruby 3.4.
This dataset demonstrates how high-performance code specialist models can be created at a negligible cost (approximately €4.20), effectively eliminating dependency on expensive, monolithic LLM APIs.
📊 Dataset Summary
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/mehmetdavut/RubyCraft-3.4-Instruct.clinicaltrials-completed-phase3
clinicaltrials-completed-phase3-full — Data Card
Version: 1.1.0 | Generated: 2026-06-14T06:18:47.568731+00:00 | Records: 29,633
Dataset Summary
clinicaltrials-completed-phase3-full contains structured clinical trial records from ClinicalTrials.gov, the U.S. federal registry of clinical studies operated by the National Library of Medicine (NIH). Each record includes trial status, design parameters, eligibility criteria, sponsor information, enrollment counts, and… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/clinicaltrials-completed-phase3.ruby-rails-ja-en
Description
This is a WIP dataset!
This dataset contains Japanese and English sentences taken from Ruby and Ruby on Rails documentation websites. It also contains some synthetic data generated by Claude (TODO: label synthetic data vs. 'real' data).
Usage
Load dataset into your project
dataset = load_dataset("morinoko-inari/ruby-rails-ja-en", split="train")
Manually split into test and training sets
For example:
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/morinoko-inari/ruby-rails-ja-en.faers-respiratory-drug-safety
Respiratory — Drug Safety Intelligence (FAERS 2020–2025)
Version: 1.0.0 | Records: 303,090 | Parquet: 459 MB | Source: FDA FAERS
Dataset Summary
Structured adverse event reports for respiratory drugs from the FDA's FAERS
database, 2020–2025. Covers serious adverse events only (hospitalization,
life-threatening outcomes, death). Each record includes the suspect drug(s),
reported reactions (MedDRA coded), patient demographics, outcome codes,
reporter country, and… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/faers-respiratory-drug-safety.fda-facility-compliance-intelligence
FDA Facility Compliance Intelligence
Version: 1.0.0 | Records: 132,080 | Price: $3,500 | Source: FDA (public domain)
Dataset Summary
The dataset's core signal — whether a facility's inspections escalated to a Warning Letter — tracks FDA's own severity classifications: facilities whose most recent inspection was OAI have escalated to a Warning Letter 65.7% of the time, versus 2.5% for NAI — a ~26× relationship you can reproduce directly from this file (GROUP BY… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/fda-facility-compliance-intelligence.fda-warning-letter-escalation
FDA Warning Letter Escalation Dataset
Version: 1.0.0 | Records: 14,810 | Price: $2,000 | Source: FDA (public domain)
Dataset Summary
The dataset's core signal — whether an inspection escalated to a Warning Letter — is validated against FDA's own severity classifications: OAI inspections escalate at 64% versus 1.7% for NAI, a 39× relationship that confirms the data reflects real regulatory behavior.
The 14,810 inspections that escalated to enforcement — every… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/fda-warning-letter-escalation.faers-immunology-drug-safety
Immunology & Rheumatology — Drug Safety Intelligence (FAERS 2020–2025)
Version: 1.0.0 | Records: 535,632 | Source: FDA FAERS
Dataset Summary
Structured adverse event reports for immunology and rheumatology drugs from the FDA's FAERS
database, 2020–2025. Covers serious adverse events only (hospitalization,
life-threatening outcomes, death). Each record includes the suspect drug(s),
reported reactions (MedDRA coded), patient demographics, outcome codes,
reporter… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/faers-immunology-drug-safety.ruby-code-corpus
Ruby Code Corpus
A large corpus of Ruby source code collected from public GitHub repositories.
Content
294,074 files from 3,920+ Ruby repositories on GitHub
Sourced from repos ranked by star count (quality signal)
Filtered: removed files under 200 bytes (trivial/empty files)
Only permissive licenses: MIT, Apache-2.0, BSD, ISC, Ruby
Fields
Field
Description
source
Always github
repo
owner/repo slug
repo_url
Full GitHub URL
path
File path… See the full description on the dataset page: https://huggingface.co/datasets/NickIBrody/ruby-code-corpus.rubygems-scraper
RubyGems Scraper · Gems, Versions, Downloads & Dependencies
Scrape RubyGems packages, versions, download counts, licenses, authors, and dependencies. Filter by query, letter, download threshold, or license.
Rows in this dataset
2,214
Fields
28
Collector runs behind it
50
Most recent observation
2026-08-03
What this is
Every row here was returned by a real run of a public collector. Nothing is generated from a
template over a keyword list:… See the full description on the dataset page: https://huggingface.co/datasets/reapxdev/rubygems-scraper.fda-inspection-escalation-dataset
FDA Inspection & Escalation Dataset
Version: 1.0.0 | Records: 271,609 | Price: $2,500 | Source: FDA (public domain)
Dataset Summary
The dataset's core signal — whether an inspection escalated to a Warning Letter — is validated against FDA's own severity classifications: OAI inspections escalate at 64% versus 1.7% for NAI, a 39× relationship that confirms the data reflects real regulatory behavior.
Every FDA inspection on record — 271,609 inspections — enriched… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/fda-inspection-escalation-dataset.faers-metabolic-glp1-drug-safety
Metabolic & GLP-1 — Drug Safety Intelligence (FAERS 2020–2025)
Version: 1.0.0 | Records: 162,981 | Parquet: 209 MB | Source: FDA FAERS
Dataset Summary
Structured adverse event reports for metabolic & GLP-1 drugs from the FDA's FAERS
database, 2020–2025. Covers serious adverse events only (hospitalization,
life-threatening outcomes, death). Each record includes the suspect drug(s),
reported reactions (MedDRA coded), patient demographics, outcome codes,
reporter… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/faers-metabolic-glp1-drug-safety.faers-cardiovascular-drug-safety
Cardiovascular — Drug Safety Intelligence (FAERS 2020–2025)
Version: 1.0.0 | Records: 312,039 | Source: FDA FAERS
Dataset Summary
Structured adverse event reports for cardiovascular drugs from the FDA's FAERS
database, 2020–2025. Covers serious adverse events only (hospitalization,
life-threatening outcomes, death). Each record includes the suspect drug(s),
reported reactions (MedDRA coded), patient demographics, outcome codes,
reporter country, and seriousness… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/faers-cardiovascular-drug-safety.ruby_ablationfaers-gastroenterology-drug-safety
Gastroenterology — Drug Safety Intelligence (FAERS 2020–2025)
Version: 1.0.0 | Records: 338,263 | Source: FDA FAERS
Dataset Summary
Structured adverse event reports for gastroenterology drugs from the FDA's FAERS
database, 2020–2025. Covers serious adverse events only (hospitalization,
life-threatening outcomes, death). Each record includes the suspect drug(s),
reported reactions (MedDRA coded), patient demographics, outcome codes,
reporter country, and… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/faers-gastroenterology-drug-safety.faers-oncology-drug-safety
Oncology — Drug Safety Intelligence (FAERS 2020–2025)
Version: 1.0.0 | Records: 928,991 | Source: FDA FAERS
Dataset Summary
Structured adverse event reports for oncology drugs from the FDA's FAERS
database, 2020–2025. Covers serious adverse events only (hospitalization,
life-threatening outcomes, death). Each record includes the suspect drug(s),
reported reactions (MedDRA coded), patient demographics, outcome codes,
reporter country, and seriousness flags.… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/faers-oncology-drug-safety.faers-neurology-cns-drug-safety
Neurology & CNS — Drug Safety Intelligence (FAERS 2020–2025)
Version: 1.0.0 | Records: 302,062 | Source: FDA FAERS
Dataset Summary
Structured adverse event reports for neurology / CNS drugs from the FDA's FAERS
database, 2020–2025. Covers serious adverse events only (hospitalization,
life-threatening outcomes, death). Each record includes the suspect drug(s),
reported reactions (MedDRA coded), patient demographics, outcome codes,
reporter country, and seriousness… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/faers-neurology-cns-drug-safety.lawgle_trust_datasetxenc-training-datafda-high-risk-facilities-watchlist
FDA High-Risk Facilities Watchlist
Version: 1.0.0 | Records: 4,574 | Price: $1,500 | Source: FDA (public domain)
Dataset Summary
Every facility on this watchlist carries a composite risk score of ≥ 50, and 84.8% have already escalated to a Warning Letter or stronger enforcement action — both figures reproduce directly from the shipped file. This is the regulatory tail: the facilities with the most serious and most recent FDA exposure.
A focused watchlist of the 4… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/fda-high-risk-facilities-watchlist.Ruby_Family_Historydataset-ruby-roda-v1
Ruby Roda Dataset
A dataset for fine-tuning language models to generate Ruby Roda web applications.
Dataset Description
This dataset contains examples of Ruby Roda web applications. Each example includes:
A system prompt instructing the model to provide accurate information
A user query asking how to build a Hello World application with Roda
A detailed assistant response showing code examples and explanations
Dataset Structure
The dataset follows the standard… See the full description on the dataset page: https://huggingface.co/datasets/makevoid/dataset-ruby-roda-v1.RubyCheckIns