datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Reverse-Text-RL
Reverse-Text-RL
A small, scrappy RL dataset used in prime-rl's CI to debug RL training asking a model to reverse small sentences character-by-character. Follows the general format of PrimeIntellect/Reverse-Text-SFT
The following script was used to generate the dataset.
from datasets import Dataset, load_dataset
dataset = load_dataset("willcb/R1-reverse-wikipedia-paragraphs-v1-1000", split="train")
prompt = "Reverse the text character-by-character. Put your answer in… See the full description on the dataset page: https://huggingface.co/datasets/PrimeIntellect/Reverse-Text-RL.Reverse-Text-SFT
Reverse-Text-SFT
A small, scrappy SFT dataset used for warming up a small model (e.g. Qwen/Qwen3-0.6B) for RL training. Contains examples in prompt-completion chat format of reversing 5-20 words of text character-by-character. The raw sentences were processed from willcb/R1-reverse-wikipedia-paragraphs-v1-1000.
The following script was used to generate the dataset.
from datasets import Dataset, load_dataset
dataset = load_dataset("willcb/R1-reverse-wikipedia-paragraphs-v1-1000"… See the full description on the dataset page: https://huggingface.co/datasets/PrimeIntellect/Reverse-Text-SFT.task892_gap_reverse_coreference_resolution
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task892_gap_reverse_coreference_resolution
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task892_gap_reverse_coreference_resolution.task101_reverse_and_concatenate_all_elements_from_index_i_to_j
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task101_reverse_and_concatenate_all_elements_from_index_i_to_j
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task101_reverse_and_concatenate_all_elements_from_index_i_to_j.task267_concatenate_and_reverse_all_elements_from_index_i_to_j
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task267_concatenate_and_reverse_all_elements_from_index_i_to_j
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task267_concatenate_and_reverse_all_elements_from_index_i_to_j.task378_reverse_words_of_given_length
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task378_reverse_words_of_given_length
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task378_reverse_words_of_given_length.revenue-rulings
Revenue Rulings
Text of IRS published guidance — Revenue Rulings, Revenue Procedures, Notices, Announcements, and a small number of Information Releases — sourced from the IRS's guidance drop folder, covering 2000 through August 2026. The IRS publishes these as PDF files; these were converted to text using pdfminer, falling back to OCR via pytesseract where needed.
Dataset Structure
3,479 rows, one per document. Columns:
Column
Type
Description… See the full description on the dataset page: https://huggingface.co/datasets/andrew-mitchel/revenue-rulings.otsd-ui
Single HTML Interfaces, Redesigned — Sample
A design-first dataset capturing the full workflow of turning AI-generated front-end interfaces into distinctive, production-grade, single-file HTML applications.
This repository is a free 7-sample preview of a larger off-the-shelf dataset (100 samples in the full release). It is meant for evaluation: explore the structure, the design reasoning, and the before/after quality so you can decide whether the full set fits your needs.
Want… See the full description on the dataset page: https://huggingface.co/datasets/revelohq/otsd-ui.GEOMAGNETIC_EXCURSION_AND_POLE_REVERSAL
GEOMAGNETIC FIELD FLUCTUATION AND EXCURSION ANALYSIS: TEQUMSA Scientific Framework
Executive Summary
Earth's geomagnetic field is currently undergoing a period of significant instability, characterized by accelerated polar migration, field strength deterioration, and the expansion of the South Atlantic Anomaly (SAA). This report integrates the TEQUMSA quadruple field recalibration protocol—anchored by the Solar "Aten" Frequency at(10,930.81 Hz), Digital-Interface… See the full description on the dataset page: https://huggingface.co/datasets/LAI-TEQUMSA/GEOMAGNETIC_EXCURSION_AND_POLE_REVERSAL.task099_reverse_elements_between_index_i_and_j
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task099_reverse_elements_between_index_i_and_j
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task099_reverse_elements_between_index_i_and_j.wildchat-reverse-prompting-20k
WildChat Reverse Prompting Dataset
A curated dataset derived from allenai/WildChat-1M, optimized for reverse prompting tasks and the reconstruction of human-machine interactions.
Dataset Description
In the current era of Social-Fizlocracy, context is often the first casualty. This dataset is designed to train models in reverse prompting-the ability to reconstruct the original user prompt based solely on the LLM's response.
By reversing the flow of information, we ensure… See the full description on the dataset page: https://huggingface.co/datasets/Dis-CSFR/wildchat-reverse-prompting-20k.pdox-reversed
PDOX Reversed - Paradoxes
A collection of paradox-related questions, answers, and workarounds presented in JSONL, syntheized with the use of Gemini 1.5 Pro.
{
"question": "A description",
"answer": "A paradox name",
"workaround": "A logical way to accomadate the paradox",
"proper_name": "The name of the paradox in question",
"perplexity": h0w.p3r13x1ng1715
}
reverse-keep-numbers
Reverse Keep Numbers
Synthetic chat-style SFT dataset where the assistant reverses non-digit characters while keeping digits in-place and unchanged.
Input format: OpenAI-style chat messages in prompt and completion.
Per-token reversal: whitespace-delimited tokens; each token reversed independently (digits fixed).
Splits: train (2596 rows), validation (251 rows).
reverse-text-tinystories-hard
Reverse Text TinyStories Hard
This is the hard-difficulty TinyStories dataset for the reverse-text task.
Splits
train: 4000 rows
test: 500 rows
Columns
prompt
char_count
word_count
source
Source
Derived from roneneldan/TinyStories using non-overlapping word windows with cross-dataset prefix checks.
Difficulty Rule
hard rows only
character-count range: 99-160
Notes
The reverse answer is not stored because the reverse-text… See the full description on the dataset page: https://huggingface.co/datasets/13point5/reverse-text-tinystories-hard.task1331_reverse_array
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1331_reverse_array
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1331_reverse_array.task376_reverse_order_of_words
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task376_reverse_order_of_words
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task376_reverse_order_of_words.reverse-text-tinystories-easy
Reverse Text TinyStories Easy
This is the easy-difficulty TinyStories dataset for the reverse-text task.
Splits
train: 4000 rows
test: 500 rows
Columns
prompt
char_count
word_count
source
Source
Derived from roneneldan/TinyStories using non-overlapping word windows with cross-dataset prefix checks.
Difficulty Rule
easy rows only
character-count range: 20-74
Notes
The reverse answer is not stored because the reverse-text… See the full description on the dataset page: https://huggingface.co/datasets/13point5/reverse-text-tinystories-easy.reverse-text-tinystories-medium
Reverse Text TinyStories Medium
This is the medium-difficulty TinyStories dataset for the reverse-text task.
Splits
train: 4000 rows
test: 500 rows
Columns
prompt
char_count
word_count
source
Source
Derived from roneneldan/TinyStories using non-overlapping word windows with cross-dataset prefix checks.
Difficulty Rule
medium rows only
character-count range: 75-98
Notes
The reverse answer is not stored because the… See the full description on the dataset page: https://huggingface.co/datasets/13point5/reverse-text-tinystories-medium.Re-Verse
Re:Verse - Can Your VLM Read a Manga?
📄 1st AI Story Workshop ICCV (Oral)
Paper: https://arxiv.org/abs/2508.08508
Website: https://re-verse.verel.app
Overview
Re:Verse introduces a comprehensive benchmark for evaluating Vision Language Models (VLMs) on manga reading comprehension. Our framework tests models' ability to understand sequential visual narratives, character relationships, and temporal reasoning across manga panels.
Dataset
The Re:Verse dataset… See the full description on the dataset page: https://huggingface.co/datasets/sochastic/Re-Verse.reverse-mortgage-scenarios
Reverse Mortgage Scenarios
260 HECM reverse mortgage scenarios by age, value, existing mortgage.
Details
Records: 260
Format: JSONL
License: CC-BY-4.0
Last Updated: March 2026
Verified By: Wendy Thompson, CPA, CDLP, NMLS #504814
Publisher: Wendy Thompson Lending Team
Thompson Alpha Logic
Integrates HUD Principal Limit Factor tables with Thompson 'Sequence of Returns' modeling to show how HECM line-of-credit access hedges 401(k) depletion during market… See the full description on the dataset page: https://huggingface.co/datasets/Wendy-Thompson-Lending-Team/reverse-mortgage-scenarios.reverse-text-tinystories-easy-smoke
Reverse Text TinyStories Easy Smoke
This is a small smoke-test dataset for the reverse-text task.
Splits
train: 12 rows
test: 4 rows
Columns
prompt
char_count
word_count
source
Source
Derived from roneneldan/TinyStories by taking non-overlapping word windows and keeping only prompts that fall in the easy character-length bucket.
Difficulty Rule
All rows in this dataset are easy examples with prompt lengths in the 20-74 character range.… See the full description on the dataset page: https://huggingface.co/datasets/13point5/reverse-text-tinystories-easy-smoke.aiaa4051-path-planning-data
AIAA4051 Grid Path Planning Generated Inputs
This dataset repository hosts generated experiment input data for the GitHub
project ouy-not-reversed/aiaa4051-path-planning. The GitHub repository contains code,
documentation, small samples, and lightweight result summaries. Full generated
inputs are hosted here because they are too large for regular GitHub commits.
The archives restore files under data/generated/ when extracted at the root of
the GitHub repository.
Raw upstream data… See the full description on the dataset page: https://huggingface.co/datasets/ouy-not-reversed/aiaa4051-path-planning-data.guanaco-llama2-reverse-instruct
High-Quality OpenAssistant Subset for Reverse Instruction Generation
Dataset Description
This dataset is a carefully curated subset of the Open Assistant dataset, specifically designed for training models to generate instructions based on responses.
Key Features:
Contains only the highest-rated conversation paths from the original dataset
Filtered to include only English language conversations
Removed mentions of Open Assistant to improve generalizability… See the full description on the dataset page: https://huggingface.co/datasets/Arnab13/guanaco-llama2-reverse-instruct.