datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
explicit-edit-benchmark
Explicit Edit Benchmark
226 deterministic exact-edit tasks, run by different agents, harnesses, models and configurations. Every observation records what the harness did and whether the resulting files matched byte for byte.
Source code and benchmark runner: GitHub — Explicit Edit Benchmark
Open the interactive Explorer to compare agents, harnesses, models, versions, reasoning modes, correctness, recovery, time, cost and tokens.
Leaderboard by model route
Score v2… See the full description on the dataset page: https://huggingface.co/datasets/alexshpunt/explicit-edit-benchmark.casimedicos-exp
Antidote CasiMedicos Dataset - Possible Answers Explanations in Resident Medical Exams
We present a new multilingual parallel medical dataset of commented medical exams which includes not only explanatory arguments
for the correct answer but also arguments to explain why the remaining possible answers are incorrect.
This dataset can be used for various NLP tasks including: Medical Question Answering, Explanatory Argument Extraction or Explanation Generation.
The… See the full description on the dataset page: https://huggingface.co/datasets/HiTZ/casimedicos-exp.marinfold-exp11-protein-docs-seq
marinfold-exp11-pdocs-seq
Sequence-only derivative of
eczech/marinfold-exp11-protein-docs.
For every row, the document field has been reduced to just the amino-acid sequence
portion: the <begin_sequence> tag followed by the per-residue three-letter tokens
(e.g. <begin_sequence> <MET> <LYS> <ASN> ...). The <contacts-and-distances-v1>
document-type prefix and everything from <begin_statements> onward (contacts and
distances) are removed. The token format is preserved verbatim so… See the full description on the dataset page: https://huggingface.co/datasets/eczech/marinfold-exp11-protein-docs-seq.exp-pool-repository-code-dolma2-tokenized
Locus EXP Repository Code - Dolma 2 tokenized
Pretokenized experiment pool for reproducible proxy-training runs.
MANIFEST.json is the authoritative schema, provenance, checksums, and train/holdout assignment.
shards/shard-NNNNN/tokens.bin stores little-endian int32 token IDs.
offsets.bin stores little-endian int64 document boundaries.
index.parquet stores document IDs, offsets, and compact filter fields.
metadata.parquet stores complete source metadata and is downloaded only… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/exp-pool-repository-code-dolma2-tokenized.marinfold-exp11-protein-docs
marinfold-exp11-pdocs
Quality-bucketed re-publication of the contacts-and-distances-v1-5x config from
timodonnell/protein-docs,
partitioned by the source round column:
Config
Source rounds
Approx rows
high
round 0
~1.68M
medium
round 1
~1.42M
low
round 2–4
~2.29M
Train/val/test split assignment is inherited from the source dataset (leakage-resistant
structural-cluster hashing). All columns from the source are preserved; rows are simply
partitioned by round.
See… See the full description on the dataset page: https://huggingface.co/datasets/eczech/marinfold-exp11-protein-docs.exp01-eeg-to-text-sentences
Exp01 — Sentence-level EEG-to-text training data (unified)
This is a private working corpus for experiment 1 (fine-tuning EEG / time-series
foundation models on EEG-to-English-text). It bundles several public EEG-while-reading
datasets into a single, raw-lossless parquet schema where one row = one sentence read by
one participant.
⚠️ License: Per-source licenses are preserved verbatim in each row's license
column and source_url. Do not re-distribute publicly without re-checking the… See the full description on the dataset page: https://huggingface.co/datasets/tankalapavankalyan/exp01-eeg-to-text-sentences.exp-pool-commit-code-dolma2-tokenized
Locus EXP Commit Code - Dolma 2 tokenized
Pretokenized experiment pool for reproducible proxy-training runs.
MANIFEST.json is the authoritative schema, provenance, checksums, and train/holdout assignment.
shards/shard-NNNNN/tokens.bin stores little-endian int32 token IDs.
offsets.bin stores little-endian int64 document boundaries.
index.parquet stores document IDs, offsets, and compact filter fields.
metadata.parquet stores complete source metadata and is downloaded only for… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/exp-pool-commit-code-dolma2-tokenized.4B-Instruct-reason-only.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained
4B-Instruct-reason-only.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained
Tokenized, tag-wrapped form of JackHsieh/4B-reason-only.rule-r-1.0-k-8.L-512.statml-arxiv.
Each thought is wrapped as
<|note|>
This is a hint about a span that appears later in this document. KEY is the text immediately before that span; VALUE is a note about what might come next.
KEY: <last 8 prefix tokens>
VALUE: <thought>
<|/note|>
and stored both as text (thought_text) and as
Qwen/Qwen3-4B-Base… See the full description on the dataset page: https://huggingface.co/datasets/JackHsieh/4B-Instruct-reason-only.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained.exp-pool-academic-dolma2-tokenized
Locus EXP Academic - OLMo 2 tokenized
Pretokenized experiment pool for reproducible proxy-training runs.
MANIFEST.json is the authoritative schema, provenance, checksums, and train/holdout assignment.
shards/shard-NNNNN/tokens.bin stores little-endian int32 token IDs.
offsets.bin stores little-endian int64 document boundaries.
index.parquet stores document IDs, offsets, and compact filter fields.
metadata.parquet stores complete source metadata and is downloaded only for… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/exp-pool-academic-dolma2-tokenized.DLT-Tweets
DLT-Tweets
[Paper] •
[Code]
Dataset Description
Dataset Summary
DLT-Tweets is a large-scale corpus of social media posts related to Distributed Ledger Technology (DLT). This dataset is part of the larger DLT-Corpus collection, designed to support NLP research, social computing studies, and public discourse analysis in the DLT domain. It was introduced in the paper DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain.… See the full description on the dataset page: https://huggingface.co/datasets/ExponentialScience/DLT-Tweets.cli-commands-explained
Overview
This dataset is a collection of 16,098 command line instructions sourced from Commandlinefu and Cheatsheets. It includes an array of commands, each with an id, title, description, date, url to source, author, votes, and flag indicating if the description is AI generated. The descriptions are primarily authored by the original contributors, for entries where descriptions were absent, they have been generated using NeuralBeagle14-7B. Out of the total entries, 10,039… See the full description on the dataset page: https://huggingface.co/datasets/b-mc2/cli-commands-explained.exp-pool-olmo-web-dolma2-tokenized
Locus EXP OLMo Web - OLMo 2 tokenized
Pretokenized experiment pool for reproducible proxy-training runs.
MANIFEST.json is the authoritative schema, provenance, checksums, and train/holdout assignment.
shards/shard-NNNNN/tokens.bin stores little-endian int32 token IDs.
offsets.bin stores little-endian int64 document boundaries.
index.parquet stores document IDs, offsets, and compact filter fields.
metadata.parquet stores complete source metadata and is downloaded only for… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/exp-pool-olmo-web-dolma2-tokenized.exp-pool-encyclopedic-dolma2-tokenized
Locus EXP Encyclopedic - OLMo 2 tokenized
Pretokenized experiment pool for reproducible proxy-training runs.
MANIFEST.json is the authoritative schema, provenance, checksums, and train/holdout assignment.
shards/shard-NNNNN/tokens.bin stores little-endian int32 token IDs.
offsets.bin stores little-endian int64 document boundaries.
index.parquet stores document IDs, offsets, and compact filter fields.
metadata.parquet stores complete source metadata and is downloaded only for… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/exp-pool-encyclopedic-dolma2-tokenized.exp-pool-nemotron-math-dolma2-tokenized
Locus EXP Nemotron Math - OLMo 2 tokenized
Pretokenized experiment pool for reproducible proxy-training runs.
MANIFEST.json is the authoritative schema, provenance, checksums, and train/holdout assignment.
shards/shard-NNNNN/tokens.bin stores little-endian int32 token IDs.
offsets.bin stores little-endian int64 document boundaries.
index.parquet stores document IDs, offsets, and compact filter fields.
metadata.parquet stores complete source metadata and is downloaded only for… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/exp-pool-nemotron-math-dolma2-tokenized.NPM-Artifact-Explanation-Benchmark
NPM-Artifact-Explanation-Benchmark
English
NPM-Artifact-Explanation-Benchmark is a cross-category multimodal corpus and benchmark resource for Chinese cultural artifact understanding and explanation.
This release contains 28,826 cleaned artifact records derived from National Palace Museum source records' opendata (https://digitalarchive.npm.gov.tw/opendata/). Each record includes structured artifact metadata, image URLs, source record URLs, and human-written… See the full description on the dataset page: https://huggingface.co/datasets/shunanhe/NPM-Artifact-Explanation-Benchmark.alfworld-expert-prefix-rollouts
ALFWorld Expert-Prefix Rollout Landscape
This dataset measures how a frozen language-model actor's probability of
solving an ALFWorld task changes after replaying different-length prefixes of a
successful expert trajectory.
The collection contains all 3,553 ALFWorld training tasks from the Agent-G2 SFT
data. Eight independent actor rollouts were sampled from the initial state for
every task. For the 2,307 low-signal tasks with at most one root success, eight
additional… See the full description on the dataset page: https://huggingface.co/datasets/YYYYYYibo/alfworld-expert-prefix-rollouts.alfworld-experimenter-gpt5mini-sft-1k
ALFWorld Experimenter GPT-5 mini SFT 1K
This dataset contains 1,000 blind GPT-5 mini reasoning demonstrations for an
ALFWorld expert-prefix selection task. The intended use is to give a 7B
experimenter model a structured reasoning warm start before reinforcement
learning, not to treat GPT-5 mini's selected depths as ground-truth labels.
Task
For each ALFWorld task, the experimenter receives eight failed trajectories
from a frozen Qwen2.5-7B-Instruct actor and one… See the full description on the dataset page: https://huggingface.co/datasets/YYYYYYibo/alfworld-experimenter-gpt5mini-sft-1k.spam.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained
spam.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained
A length-matched null control for JackHsieh/luna-reason-only.stride-train8-test32.k-8.statml-arxiv.qwen3-ids, stored directly in the
kv-tags-explained training format (there is no separate base repo). Every thought is this
one sentence, repeated:
We are thinking hard about what comes in the next 8 tokens by reasoning correctly and carefully about what comes before it in the document.
It is fluent, on-topic and… See the full description on the dataset page: https://huggingface.co/datasets/JackHsieh/spam.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained.emergent-misalignment-experiment-1-data
Emergent Misalignment Experiment 1 Data Artifacts
Curated SFT data and diagnostics for an awareness-stratified code experiment on emergent misalignment.
This artifact contains the exact trainable JSONL branches used for the reported n=1000 and n=3452 runs, plus the small manifests and balance summaries needed to audit the data mixture. The paired model adapters are available at jash404/emergent-misalignment-experiment-1-adapters. The source code and reports are in… See the full description on the dataset page: https://huggingface.co/datasets/jash404/emergent-misalignment-experiment-1-data.gomodel-go-expert-v4
GoModel Go Expert v4 Dataset
Description
A high-quality dataset for fine-tuning Qwen2.5-Coder-7B to be an expert Go software engineer
with tool-calling capabilities. This is version 4, substantially rebuilt from v3 with:
Structured messages format (not pre-rendered ChatML text)
Go AST-extracted code from real repositories using go/parser
Go 1.26 feature coverage (February 2026 release)
Senior/staff-level engineering content (architecture, distributed systems, API… See the full description on the dataset page: https://huggingface.co/datasets/mencosk/gomodel-go-expert-v4.4B-Instruct-distill-3rkrz2vo.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained
4B-Instruct-distill-3rkrz2vo.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained
A pre-tokenized, tag-wrapped variant of JackHsieh/4B-Instruct-distill-3rkrz2vo.stride-1.k-8.statml-arxiv.qwen3-ids. Each thought_text is wrapped as
<|note|>
This is a hint about a span that appears later in this document. KEY is the text immediately before that span; VALUE is a note about what might come next.
KEY: {last 8 prefix tokens}
VALUE: {thought_text}
<|/note|>
and stored both as text… See the full description on the dataset page: https://huggingface.co/datasets/JackHsieh/4B-Instruct-distill-3rkrz2vo.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained.cybersecurity-reasoning-cot-v1
🛡️ Expert Cybersecurity Reasoning Dataset (CoT)
This dataset contains 89 high-fidelity, expert-verified reasoning records focusing on complex cybersecurity attack vectors. It is designed specifically for fine-tuning Large Language Models (LLMs) on sophisticated security analysis and threat logic.
💎 Key Highlights
Niche Rarity 1.0: Covers rare and emerging threats with zero prior representation in open-source datasets.
Advanced Vectors: Includes detailed reasoning for… See the full description on the dataset page: https://huggingface.co/datasets/expertdata-factory/cybersecurity-reasoning-cot-v1.tripalchemy-experiences
🧪 TripAlchemy — Synthetic Travel Experiences
10,396 rich, vibe-scored travel experiences across 30 cities — generated by a
pre-trained Hugging Face model and served through a live recommender app.
🚀 Live demo: huggingface.co/spaces/almador2002/tripalchemy
✨ What makes it special
Every experience is scored 0–1 across all six categories at once — 🍽️ culinary, 🏛️ historical,
🛍️ shopping, 🌲 nature, 🌃 nightlife, 🎨 art & culture. That multi-label… See the full description on the dataset page: https://huggingface.co/datasets/almador2002/tripalchemy-experiences.stage3-real-expansion-agent-teacher-separated-pilot
Teacher-Separated Expansion Agent Pilot
A 10-task inspection batch generated by Qwen3-235B-A22B-Instruct-2507 from real
CLAPNQ, PubMedQA, MAUD, ContractNLI, and FinQA source tasks.
The teacher-only trajectory-generation system prompt is recorded in
metadata/generation-manifest.json for auditability, but is absent from every
saved training trajectory. Each final messages list begins with the real
memory-wrapped task user message, followed by native assistant expand calls,
exact… See the full description on the dataset page: https://huggingface.co/datasets/leonli66/stage3-real-expansion-agent-teacher-separated-pilot.prompts-export-dataset
🔥 Prometheus Prompts
The Definitive Prompt Engineering Corpus v0.1
"Just as Prometheus stole fire from the gods to empower humanity, this corpus steals the spark of perfect prompting to ignite the next generation of AI."
By FAMILY LINK
📊 Dataset Stats
1,347,933 Prompts • 54,743 Topics • 1.43GB • 1147 Char Avg
100% Human-Reviewed • v0.1 • Educational License
🎖️ Featured Sample Prompts
🏃♂️ Running Training & Genetics… See the full description on the dataset page: https://huggingface.co/datasets/FamilyLinks/prompts-export-dataset.luna-reason-only.stride-train8-test32.k-8.statml-arxiv.qwen3-ids.kv-tags-explained
luna-reason-only.stride-train8-test32.k-8.statml-arxiv.qwen3-ids.kv-tags-explained
A pre-tokenized, tag-wrapped variant of JackHsieh/luna-reason-only.stride-train8-test32.k-8.statml-arxiv.qwen3-ids. Each thought_text is wrapped as
<|note|>
This is a hint about a span that appears later in this document. KEY is the text immediately before that span; VALUE is a note about what might come next.
KEY: {last 8 prefix tokens}
VALUE: {thought_text}
<|/note|>
and stored both as text… See the full description on the dataset page: https://huggingface.co/datasets/JackHsieh/luna-reason-only.stride-train8-test32.k-8.statml-arxiv.qwen3-ids.kv-tags-explained.tool-reasoning-sft-RESEARCH-explorations
Explorations Trajectories — Cleaned & Stripped
149,025 multi-turn code exploration agent trajectories converted into a strict reasoning + tool-call format with validated FSM transitions.
Origin
Derived from AmanPriyanshu/random-small-github-repositories and AmanPriyanshu/random-python-github-repositories.
Each trajectory is a search session where an agent navigates a GitHub repository using terminal commands to locate a target file. The agent reasons about project… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-RESEARCH-explorations.stage3-real-expansion-agent
Stage 3 Real-Source Expansion Agents — Pilot
This inspection pilot converts pinned training examples from real legal,
financial, biomedical, and grounded-QA corpora into native selective-expansion
traces. It is not the final-scale mixture.
Each row contains eight positional seg_i blocks. Every initial segment holds
512–896 words of real source material wrapped in
<|memory_start|>...<|memory_end|>. Qwen3-235B-A22B-Instruct-2507 receives a
native expand({"segment_id": "seg_i"})… See the full description on the dataset page: https://huggingface.co/datasets/leonli66/stage3-real-expansion-agent.32B-reason-only.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained
32B-reason-only.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained
A pre-tokenized, tag-wrapped variant of JackHsieh/32B-reason-only.stride-1.k-8.statml-arxiv.qwen3-ids. Each thought_text is wrapped as
<|note|>
This is a hint about a span that appears later in this document. KEY is the text immediately before that span; VALUE is a note about what might come next.
KEY: {last 8 prefix tokens}
VALUE: {thought_text}
<|/note|>
and stored both as text (thought_text) and as… See the full description on the dataset page: https://huggingface.co/datasets/JackHsieh/32B-reason-only.stride-1.k-8.statml-arxiv.qwen3-ids.kv-tags-explained.lemonseed-codex-cogen-expansion
lemonseed-codex-cogen-expansion
LemonSeed — Codex-teacher expansion data, reviewed (v2).
Contents
intelligent_codex_expansion_reviewed_v2.jsonl (336 rows)
Format
JSON Lines (.jsonl), one example per line.
Provenance
LLM-teacher co-generated instruction/chat data for LemonSeed fine-tuning.