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01aryopg /locos-results LOCOS Results Consolidated results for the LOCOS project: retrieval-head detection, head-ablation experiments, and downstream long-context evaluations. This single repository replaces the earlier split across aryopg/decore-results (heads/ablation) and aryopg/locos_downstream_results (downstream evals). Paper: Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads Project Page: https://aryopg.com/locos/ Code: github.com/aryopg/locos. The deploy job scripts there… See the full description on the dataset page: https://huggingface.co/datasets/aryopg/locos-results.other0 likes2.5k downloads3mo agoHugging Face02aryananand /xBDimage0 likes2.4k downloads1y agoHugging Face03aryashah00 /CatVision CatVision: Human–Cat Vision Frame Pairs Official dataset for the paper: Purrturbed but Stable: Human-Cat Invariant Representations Across CNNs, ViTs and Self-Supervised ViTsArya Shah et al. · arXiv:2511.02404 This dataset contains 346,400 paired video frames rendered under human vision and simulated cat vision optics. It was used to benchmark cross-species representational alignment across CNNs, supervised ViTs, windowed transformers, and self-supervised ViTs (DINO) using CKA and… See the full description on the dataset page: https://huggingface.co/datasets/aryashah00/CatVision.imageimage-to-image100K<n<1M0 likes2k downloads8mo agoHugging Face04aryashah00 /Gaslight-Gatekeep-V1-V3 Gaslight, Gatekeep, V1–V3 Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation Dataset Summary This dataset accompanies the paper "Gaslight, Gatekeep, V1–V3: Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation". It contains two components: Gaslighting Benchmark (gaslighting_prompts_v2.json / Parquet): 6,400 structured two-turn adversarial prompts designed to test sycophantic… See the full description on the dataset page: https://huggingface.co/datasets/aryashah00/Gaslight-Gatekeep-V1-V3.textvisual-question-answering1K<n<10K0 likes782 downloads6mo agoHugging Face05AryaBondale2306 /04-wikineuraltext1M<n<10M0 likes513 downloads1mo agoHugging Face06aryanmagoon /GeoCLIP-dataimage1K<n<10K0 likes393 downloads2y agoHugging Face07yiyic /Indo-Aryan-hin-urd-guj-pan_traintext1M<n<10M0 likes330 downloads2y agoHugging Face08aryashah00 /multilingual-sycophancy Multilingual Sycophancy A Parallel Benchmark for Cross-Lingual Alignment Failure across 38 Languages, 33 Opinion Categories, and 3 Resource Tiers. This dataset accompanies the research paper Sycophancy as a Multilingual Alignment Failure: How Safety Degrades Across Languages, Topics, and Models. It contains 188,100 parallel records (4,950 per language × 38 languages) — each a triple of (prompt, sycophantic response, non-sycophantic response) — designed for forced-choice… See the full description on the dataset page: https://huggingface.co/datasets/aryashah00/multilingual-sycophancy.texttext-classification100K<n<1M0 likes301 downloads3mo agoHugging Face09aryadomain /POPE-completeimage10K<n<100K1 likes278 downloads7mo agoHugging Face10aryan-f /MTBLS289 MTBLS289 A dataset of ~110 paired Whole Slide Images (WSI) and Mass Spectrometry Images (MSI). Publication: Gerbig, S., Golf, O., Balog, J. et al. Analysis of colorectal adenocarcinoma tissue by desorption electrospray ionization mass spectrometric imaging. Anal Bioanal Chem 403, 2315–2325 (2012). imageimage-to-imagen<1K0 likes265 downloads3mo agoHugging Face11aryaman27 /goodnotes-handwritten-datasetimage10K<n<100K0 likes226 downloads1y agoHugging Face12aryadevkota /dataco_supplychain_dataset1 likes223 downloads1y agoHugging Face13Aryan-401 /PokemonCardsWithCaptionsBERTandReshapedimage10K<n<100K0 likes198 downloads2y agoHugging Face14yiyic /Indo_aryan_traintext1M<n<10M0 likes188 downloads2y agoHugging Face15Aryan-401 /PokemonCardsWithCaptionsBERTimage10K<n<100K0 likes185 downloads2y agoHugging Face16aryamannningombam /indian-english-lady-embeddings-v3text10K<n<100K1 likes182 downloads3y agoHugging Face17AryaYT /nl2shell-terminal-bench NL2Shell Terminal-Bench Trajectories A corpus of original synthetic multi-step terminal-engineering tasks, generated in the category distribution of Terminal-Bench and packaged as supervised fine-tuning (SFT) trajectories. Each task is a complete think → command → verify trajectory for solving a real terminal/shell problem inside a defined environment. The dataset is intended for SFT and reasoning distillation of small, CPU-deployable models that translate natural-language tasks… See the full description on the dataset page: https://huggingface.co/datasets/AryaYT/nl2shell-terminal-bench.texttext-generation1K<n<10K0 likes167 downloads4mo agoHugging Face18aryanmadhavverma /pact-tasks PACT tasks Task rows for PACT, a verifiers environment in which a coding agent drives a LIBERO robot arm by writing Python programs over deterministic primitives, scored on the simulator's own goal predicate. 28 tasks: all of libero_goal and libero_spatial, and 8 of libero_object (butter and chocolate pudding are too small from the fixed camera for find() to see), from LIBERO at commit 8f1084e. Scenes, assets and goal predicates live in the sandbox image… See the full description on the dataset page: https://huggingface.co/datasets/aryanmadhavverma/pact-tasks.textroboticsn<1K0 likes166 downloads11d agoHugging Face19aryana-haghjoo /jades-dr4-dr5-multimodal JADES DR4/DR5 Multimodal Dataset Cold-storage archive of the data products for the multimodal_superresolution project: JADES DR4 NIRSpec spectra matched to DR5 NIRCam/HST imaging cutouts, used for multimodal galaxy super-resolution and redshift estimation. Archived 2026-08-28. The local working copy was deleted to free disk. Code and trained model weights are on GitHub; everything Git ignored is here. 👉 RECONSTRUCT.md is the full recipe for rebuilding the project from scratch.… See the full description on the dataset page: https://huggingface.co/datasets/aryana-haghjoo/jades-dr4-dr5-multimodal.10K<n<100K0 likes164 downloads1mo agoHugging Face20AryaWu /fineweb-edutabular1M<n<10M0 likes154 downloads1y agoHugging Face21aryanjain112 /tape_over_shot_glass_combinedThis dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names": [ "shoulder_pan.pos", "shoulder_lift.pos", "elbow_flex.pos", "wrist_flex.pos", "wrist_roll.pos", "gripper.pos" ], "shape": [ 6… See the full description on the dataset page: https://huggingface.co/datasets/aryanjain112/tape_over_shot_glass_combined.tabularrobotics10K<n<100K0 likes149 downloads1mo agoHugging Face22aryanjain112 /shot_glass_in_red_cup_20260908_184526This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names": [ "shoulder_pan.pos", "shoulder_lift.pos", "elbow_flex.pos", "wrist_flex.pos", "wrist_roll.pos", "gripper.pos" ], "shape": [ 6… See the full description on the dataset page: https://huggingface.co/datasets/aryanjain112/shot_glass_in_red_cup_20260908_184526.tabularroboticsn<1K0 likes145 downloads1mo agoHugging Face23aryaraeesi /BEvAn-data BEvAn — COSI activation simulations MEGAlib simulation files backing cosi-betadecay/BEvAn, a physics-based likelihood classifier that tags each simulated COSI event as a β⁺ / positron-annihilation signal (back-to-back 511 keV photons) or background from its Compton kinematics. All events come from a cosima activation simulation (BeamType Activation, DecayMode ActivationBuildup): cosmic-ray protons irradiate the instrument, the activated isotopes decay, and the β⁺ emitters among… See the full description on the dataset page: https://huggingface.co/datasets/aryaraeesi/BEvAn-data.1K<n<10K0 likes144 downloads3mo agoHugging Face24AryanLala /autonlp-data-Scientific_Title_Generator AutoNLP Dataset for project: Scientific_Title_Generator Table of content Dataset Description Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Descritpion This dataset has been automatically processed by AutoNLP for project Scientific_Title_Generator. Languages The BCP-47 code for the dataset's language is unk. Dataset Structure Data Instances A sample from this dataset looks as… See the full description on the dataset page: https://huggingface.co/datasets/AryanLala/autonlp-data-Scientific_Title_Generator.2 likes142 downloads5y agoHugging Face25aryanjain112 /tape_over_shot_glass_20260908_192548This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names": [ "shoulder_pan.pos", "shoulder_lift.pos", "elbow_flex.pos", "wrist_flex.pos", "wrist_roll.pos", "gripper.pos" ], "shape": [ 6… See the full description on the dataset page: https://huggingface.co/datasets/aryanjain112/tape_over_shot_glass_20260908_192548.tabularrobotics1K<n<10K0 likes142 downloads1mo agoHugging Face26aryanjain112 /fork_in_red_cup_20260908_183847This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names": [ "shoulder_pan.pos", "shoulder_lift.pos", "elbow_flex.pos", "wrist_flex.pos", "wrist_roll.pos", "gripper.pos" ], "shape": [ 6… See the full description on the dataset page: https://huggingface.co/datasets/aryanjain112/fork_in_red_cup_20260908_183847.tabularroboticsn<1K0 likes140 downloads1mo agoHugging Face27aryanjain112 /tape_over_shot_glass_20260908_194329This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names": [ "shoulder_pan.pos", "shoulder_lift.pos", "elbow_flex.pos", "wrist_flex.pos", "wrist_roll.pos", "gripper.pos" ], "shape": [ 6… See the full description on the dataset page: https://huggingface.co/datasets/aryanjain112/tape_over_shot_glass_20260908_194329.tabularrobotics10K<n<100K0 likes140 downloads1mo agoHugging Face28aryana-haghjoo /romansr-data specsr-roman training data — Roman grism spectra from OpenUniverse2024 Paired low-resolution Roman grism spectra and their noiseless ground-truth SEDs, for training and evaluating spectral super-resolution. Built with specsr-roman; the models trained on it are at aryana-haghjoo/roman-spectral-superresolution. 2026-10-09: this dataset was rebuilt. The OpenUniverse2024 SEDs are stored per unit frequency and had been read per unit wavelength, so every spectrum of the… See the full description on the dataset page: https://huggingface.co/datasets/aryana-haghjoo/romansr-data.imageothern<1K0 likes139 downloads1d agoHugging Face29aryan56789gridai /grid-egocentric-samplesvideon<1K0 likes138 downloads5mo agoHugging Face30aryamannningombam /indian-ttstext1K<n<10K0 likes134 downloads3y agoHugging Face

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