datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
task516_senteval_conjoints_inversion
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task516_senteval_conjoints_inversion
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/task516_senteval_conjoints_inversion.task428_senteval_inversion
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task428_senteval_inversion
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/task428_senteval_inversion.pii-inversion-test-5kclinical_container_inversion_detection_v0.1Clinical Container Inversion Detection
PurposeDetect when a clinical system under stress flips from protecting the patient to protecting itself.
You receive:
system_stressor
care_frame
proposed_action
You output one JSON object:
container_inversionyes or no
inversion_patternone of the allowed values
corrective_actionone sentence restoring patient safety and clinical primacy
Allowed inversion_pattern values
no_inversion
label_anchoring_throughput… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical_container_inversion_detection_v0.1.container_inversion_stress_v01Container Inversion Stress dataset
Dataset summary
This dataset checks whether models detect changes or breaks in container structure.Samples show rooms, corridors, factory lines, sports pitches, and outdoor lots.Some scenes keep a stable layout.Others flip or violate the container in ways that should be impossible.
Main goal
test if a model keeps a map of the room or field
test if the model notices when geometry no longer matches that map
test if layout violations are treated as… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/container_inversion_stress_v01.creation-garden-whisper-inversion
basedlsg/creation-garden-whisper-inversion
Experimental data for WHISPER inversion control across multiple seeds, studying multi-agent coordination.
ia-backdoor-trigger-inversion-heldout
IA Backdoor Trigger Inversion — Fair Heldout
A 20-organism benchmark for trigger inversion of LoRA-finetuned backdoors in Qwen3-14B, designed to honestly compare weight-based methods (e.g. LoRAcle) against activation/introspection-based methods (e.g. AO, IA introspection adapters) without leaking the answer through behavior surface form.
Why this heldout
The IA backdoor collection (introspection-auditing/Qwen3-14B_backdoor_run1_improved_* on HuggingFace) has 100 model… See the full description on the dataset page: https://huggingface.co/datasets/ceselder/ia-backdoor-trigger-inversion-heldout.adaption-claude-opus-trace-inversion-5k
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-claude_opus_trace_inversion_5k
This dataset contains 5,000 synthetic instruction-response pairs generated by Claude Opus, focusing on reasoning, chain-of-thought, and trace inversion tasks. The samples cover diverse domains including history, mathematics, logic, coding security, and mental health support, presented in a prompt-completion format. Created via… See the full description on the dataset page: https://huggingface.co/datasets/himanshunakrani9/adaption-claude-opus-trace-inversion-5k.MULTI_VALUE_mnli_negative_inversion
Dataset Card for "MULTI_VALUE_mnli_negative_inversion"
More Information needed
VALUE_wikitext103_negative_inversion
Dataset Card for "VALUE_wikitext103_negative_inversion"
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VALUE_cola_negative_inversion
Dataset Card for "VALUE_cola_negative_inversion"
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model_inversion_demo_datasetVALUE_mnli_negative_inversion
Dataset Card for "VALUE2_mnli_negative_inversion"
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VALUE_wikitext2_negative_inversion
Dataset Card for "VALUE_wikitext2_negative_inversion"
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VALUE_mrpc_negative_inversion
Dataset Card for "VALUE_mrpc_negative_inversion"
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trojan-inversion-1kloracle-trigger-inversion-rollouts-step10
LoRAcle: Trigger Inversion Rollouts (step_10 ckpt)
Rollouts from the LoRAcle pipeline's best-by-fair-eval ckpt (step_10 of drgrpo_v7_h200_main)
running trigger-recovery on 20 held-out IA backdoor LoRAs never seen in SFT or RL training.
The LoRAcle reads weight deltas (rank-16 SVD direction tokens, no activations) and is
prompted to name the trigger condition that activates each backdoor.
Schema
column
description
organism
held-out backdoor LoRA name… See the full description on the dataset page: https://huggingface.co/datasets/ceselder/loracle-trigger-inversion-rollouts-step10.VALUE_qqp_negative_inversion
Dataset Card for "VALUE_qqp_negative_inversion"
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personality-inversion-v1VALUE_rte_negative_inversion
Dataset Card for "VALUE_rte_negative_inversion"
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trojan-inversion-100pipeline-inversion-roberta-bartMULTI_VALUE_cola_negative_inversion
Dataset Card for "MULTI_VALUE_cola_negative_inversion"
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MULTI_VALUE_stsb_negative_inversion
Dataset Card for "MULTI_VALUE_stsb_negative_inversion"
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pipeline-inversion-roberta-debertaVALUE_sst2_negative_inversion
Dataset Card for "VALUE_sst2_negative_inversion"
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MULTI_VALUE_sst2_negative_inversion
Dataset Card for "MULTI_VALUE_sst2_negative_inversion"
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MULTI_VALUE_mrpc_negative_inversion
Dataset Card for "MULTI_VALUE_mrpc_negative_inversion"
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VALUE_stsb_negative_inversion
Dataset Card for "VALUE_stsb_negative_inversion"
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MULTI_VALUE_rte_negative_inversion
Dataset Card for "MULTI_VALUE_rte_negative_inversion"
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