datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
total-300-lambda00-s_signal_type6-jh-epoch4
total-300-lambda00-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.3875
Action score: 0.43125
Valid samples: 320/320
total-300-lambda02-s_signal_type6-jh-epoch4
total-300-lambda02-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.4046875
Action score: 0.4140625
Valid samples: 320/320
total-300-lambda05-s_signal_type6-jh-epoch4
total-300-lambda05-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.35703125
Action score: 0.4375
Valid samples: 320/320
total-300-lambda10-s_signal_type6-jh-epoch4
total-300-lambda10-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.36640625
Action score: 0.41875
Valid samples: 320/320
total-300-lambda08-s_signal_type6-jh-epoch4
total-300-lambda08-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.38046875
Action score: 0.4078125
Valid samples: 320/320
total-300noapp-lambda02-s_signal_type6-jh-epoch4
total-300noapp-lambda02-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.36640625
Action score: 0.409375
Valid samples: 320/320
total-300app-lambda02-s_signal_type6-jh-epoch4
total-300app-lambda02-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.3625
Action score: 0.4015625
Valid samples: 320/320
total-131-lambda02-residual-s_signal_type6-jh-epoch4
total-131-lambda02-residual-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.3765625
Action score: 0.4171875
Valid samples: 320/320
total-300-lambda02-s_signal_type6-jh-retry-epoch4
total-300-lambda02-s_signal_type6-jh-retry-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.36953125
Action score: 0.3984375
Valid samples: 320/320
total-300-lambda02-s_signal_type6-jh-epoch4-reeval2
total-300-lambda02-s_signal_type6-jh-epoch4-reeval2
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.4125
Action score: 0.4265625
Valid samples: 320/320
total-300-lambda02-s_signal_type6-jh-epoch4-reeval1
total-300-lambda02-s_signal_type6-jh-epoch4-reeval1
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.38828125
Action score: 0.4234375
Valid samples: 320/320
typescript-instruct-20kWhy always Python?
I get 20,000 TypeScript code from The Stack and generate {"instruction", "output"} pairs (based on gpt-3.5-turbo)
Using this dataset for finetune code generation model just for TypeScript
Make web developers great again !
Pile-NER-type
Intro
Pile-NER-type is a set of GPT-generated data for named entity recognition using the type-based data construction prompt. It was collected by prompting gpt-3.5-turbo-0301 and augmented by negative sampling. Check our project page for more information.
License
Attribution-NonCommercial 4.0 International
typed-decisions
typed-decisions
A typed-decision corpus for training a masked-diffusion LM to emit calibrated
discrete decisions instead of text. Built for fine-tuning
Sebasdi/nanodiff-350m-base
(the LLaDA recipe).
The interface
Every example is a prompt plus a response, and every decision is a single
masked token. The answer is always one option letter A-J:
### State:
<unstructured state text>
### Question:
<the decision to make>
### Options:
A) yes
B) no
### Answer:
A
The… See the full description on the dataset page: https://huggingface.co/datasets/pngwn/typed-decisions.TIGER-Lab-MathInstruct_PoTSEE https://huggingface.co/datasets/TIGER-Lab/MathInstruct
This is only here for convenience
typescript-dataset
TypeScript Advanced Reasoning Dataset
This dataset provides a large collection of advanced TypeScript reasoning tasks designed to train models that understand and operate within the TypeScript type system at an expert level. The content focuses on type theory, generic inference, discriminated unions, template literal behavior, narrowing rules, static analysis, and complex type transformations.
Each entry is formatted as a compact JSONL instruction output pair so it can be… See the full description on the dataset page: https://huggingface.co/datasets/grenishrai/typescript-dataset.typed-decision-bench
Typed Decision Bench v0.3
Built by Blobfish AI. A benchmark for one-pass decision models: 5,387 items, 25 tasks, 5 use-case
suites. Blobfish designed the tasks, wrote the typed questions, framed each one as a decision a business actually
delegates (use case, vertical), drew stratified seeded panels, froze them, and built the scoring, the contamination
tiers and the quality scorecard. The underlying records are drawn from 21 openly licensed public datasets plus one
generator of… See the full description on the dataset page: https://huggingface.co/datasets/SamuelChien821/typed-decision-bench.typed-decisions-code-holes
typed-decisions: code-holes
Single-token substitutions mined from the git history of 64 public repositories in the
kotoba-lang organisation, each turned into one choice question
with a gold answer: the token the commit actually put there. Part of
kotoba-lang/typed-decisions (README 第8反復),
whose trained model is com-kotobalabs/open-jev-deberta-v3-large.
Sibling dataset (ungoaled): com-kotobalabs/typed-decisions-repo-governance.
What a record is
state = the commit… See the full description on the dataset page: https://huggingface.co/datasets/com-kotobalabs/typed-decisions-code-holes.typescript-chunks
typescript-chunks
A dataset of TypeScript snippets, processed from the typescript subset of the-stack-smol.
Processing
Each source file is parsed with the TypeScript AST and queried for 'semantic chunks' of the following types.
FunctionDeclaration ---- 8205
ArrowFunction --------- 33890
ClassDeclaration ------- 5325
InterfaceDeclaration -- 12884
EnumDeclaration --------- 518
TypeAliasDeclaration --- 3580
MethodDeclaration ----- 24713
Leading comments are added to the… See the full description on the dataset page: https://huggingface.co/datasets/bleugreen/typescript-chunks.typesOfQuestionsDataset containing questions for an AI model to use to understand the type of question.
Types:
What
Who
How
Where
Why
Grammar
Coding
Other
Acronym
Definition
Synonym
Antonym
Weather
Comparison
Forecast
Number of Rows: 15,114
License: MIT
typed-decisions-repo-governance
typed-decisions: repo-governance family
A seed, not a corpus (n=1 as of first publish, 2026-09-19): real governance findings from a
private software monorepo, each run through TypeSafe's Jev (a "System One"
model — it returns typed choice / score / noul decisions, never free text or code) as part of
kotoba-lang/typed-decisions, a reproduction and
measurement of the Jev shape whose trained model is published at
com-kotobalabs/open-jev-deberta-v3-large.
What this is… See the full description on the dataset page: https://huggingface.co/datasets/com-kotobalabs/typed-decisions-repo-governance.thermocouple-type-color-code-crosswalk
Thermocouple type letter to alloy pair, ANSI/IEC color code and tolerance class
Canonical, always-current version: https://referencesource.org/thermocouple-type-color-code-crosswalk/
Machine-readable: https://referencesource.org/thermocouple-type-color-code-crosswalk/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-19
Stale after: 2028-08-18 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 12
A… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/thermocouple-type-color-code-crosswalk.fire-extinguisher-inspection-testing-intervals-by-type
Fire extinguisher inspection, maintenance and hydrostatic test intervals by agent type
Canonical, always-current version: https://referencesource.org/fire-extinguisher-inspection-testing-intervals-by-type/
Machine-readable: https://referencesource.org/fire-extinguisher-inspection-testing-intervals-by-type/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-19
Stale after: 2027-08-19 (past this date, prefer the canonical copy —
it re-verifies on a cadence… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/fire-extinguisher-inspection-testing-intervals-by-type.cluebbers__Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid-details
Dataset Card for Evaluation run of cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid
Dataset automatically created during the evaluation run of model cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/cluebbers__Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid-details.WildChat-2k-TypeTopic
WildChat-2k-TypeTopic: The Manually Curated Edition
Dataset Description
WildChat-2k-TypeTopic is a manually curated subset of 1,880 real-world user prompts from the WildChat dataset, featuring annotations for both task type (e.g. knowledge recall, problem solving, creative, lists) and topic category (e.g. personal assistance, math, ai, household)
Why this dataset?
Suppose you want to answer a research question such as "What kind of user prompt does the LLM like… See the full description on the dataset page: https://huggingface.co/datasets/dpaleka/WildChat-2k-TypeTopic.HumAID-event-type
HumAID: Human-Annotated Disaster Incidents Data from Twitter
Dataset Summary
The HumAID Twitter dataset consists of several thousands of manually annotated tweets that has been collected during 19 major natural disaster events including earthquakes, hurricanes, wildfires, and floods, which happened from 2016 to 2019 across different parts of the World. The annotations in the provided datasets consists of following humanitarian categories. The dataset consists only english… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/HumAID-event-type.hydraulic-pipe-connection-types
Hydraulic and pipe connection type identification
Canonical, always-current version: https://referencesource.org/hydraulic-pipe-connection-types/
Machine-readable: https://referencesource.org/hydraulic-pipe-connection-types/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-13
Stale after: 2028-08-12 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 21
Identifying characteristics of each hydraulic… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/hydraulic-pipe-connection-types.Typescript_Master_QA_Dataset
Dataset Card for Typescript_Master_QA_Dataset
Typescript QA Dataset
Dataset Details
Dataset Description
Typescript QA DataSet including Questions from:
General Programming
The Type system
Unions and literals
Objects
Functions
Arrays
Interfaces
Classes
Type Modifiers
Generics
typescript-instruct-20k-v2cWhy always Python?
I get 20,000 TypeScript code from The Stack and generate {"instruction", "output"} pairs (based on gpt-3.5-turbo)
Using this dataset for finetune code generation model just for TypeScript
Make web developers great again !
typeOfStatementsDataset containing types of statements that a user may ask an AI