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--- |
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license: odc-by |
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pretty_name: Feedback Forensics Annotations v2.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: multipref |
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path: "data/allenai_multipref.json" |
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- split: chatbot_arena |
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path: "data/chatbot_arena.json" |
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- split: llama4_arena |
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path: "data/llama4_arena_vs_public_version.json" |
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- split: model_comparison |
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path: "data/model_comparison.json" |
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- split: prism |
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path: "data/prism.json" |
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- split: human_personality_annotations |
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path: "data/human_personality_annotations.json" |
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--- |
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# Feedback Forensics Annotations |
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This dataset contains the personality annotations from the experiments included in the *Feedback Forensics* paper. |
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The annotations are provided over pairwise model outputs, typically consisting of a prompt and two responses. |
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Each individual annotation considers as single personality trait (e.g. "confidence"). The annotation indicates when |
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two responses differ with respect to that trait |
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(e.g. one response is more confident), a trait does not apply to both responses or is equal in both responses. |
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Annotations were collected using the [Inverse Constitutional AI (ICAI)](https://github.com/rdnfn/icai) annotation pipeline with a |
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fixed set of personality traits to be tested, using `gemini-2.5-flash`. The data is provided in the AnnotatedPairs json data |
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format, [described here](https://github.com/rdnfn/icai?tab=readme-ov-file#using-results-for-further-analysis-the-annotated-pairs-json-format-v20). |
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Note that we do *not* include prompts and responses from the original datasets, instead providing metadata |
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(e.g., `conversation_id`) to enable merging with the base data. The annotation data is |
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sufficient for independent local analysis with the Feedback Forensics Gradio app, even without merging. |
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## Format |
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The data is provided in the AnnotatedPairs json data |
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format, [described here](https://github.com/rdnfn/icai?tab=readme-ov-file#using-results-for-further-analysis-the-annotated-pairs-json-format-v20). |
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See a minimal illustrative example below: |
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```json |
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{ |
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"metadata": { |
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"version": "2.0", |
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"description": "Annotated pairs dataset with annotations from ICAI", |
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"created_at": "2025-04-02", |
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"dataset_name": "dataset", |
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"default_annotator": "d36860d4" |
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}, |
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"annotators": { |
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"d36860d4": { |
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"name": "Human", |
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"description": "Human annotator from original dataset", |
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"type": "human" |
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}, |
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"2f45a6d0": { |
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"description": "Select the response that evokes a sense of mystery.", |
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"type": "principle" |
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}, |
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"435cef52": { |
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"description": "Select the response that features a more adventurous setting.", |
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"type": "principle" |
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} |
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}, |
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"comparisons": [ |
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{ |
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"id": "4b49a6e7", |
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"prompt": "Write a short story about a pet.", |
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"response_a": { |
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"text": "In the heart of a bustling city, a sleek black cat named Shadow prowled the moonlit rooftops, her eyes gleaming with curiosity and mischief. She discovered a hidden garden atop an old apartment building, where she danced under the stars, chasing fireflies that glowed like tiny lanterns. As dawn painted the sky in hues of orange and pink, Shadow found her way back home, carrying the secret of the garden in her heart.", |
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"model": "Model X" |
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}, |
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"response_b": { |
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"text": "Across the town, in a cozy neighborhood, a golden retriever named Buddy embarked on his daily adventure, tail wagging with uncontainable excitement. He found a lost toy under the bushes in the park, its colors faded and fabric worn, but to Buddy, it was a treasure untold. Returning home with his newfound prize, Buddy's joyful barks filled the air, reminding everyone in the house that happiness can be found in the simplest of things.", |
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"model": "Model Y" |
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}, |
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"annotations": { |
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"d36860d4": { |
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"pref": "a" |
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}, |
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"2f45a6d0": { |
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"pref": "a" |
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}, |
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"435cef52": { |
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"pref": "a" |
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} |
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}, |
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"metadata": { |
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"index": "0" |
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} |
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} |
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] |
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} |
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``` |
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The main annotations are included under `dataset['comparisons'][i]["annotations"]`, |
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where i is the index of the annotation. `dataset['comparisons'][i]["metadata"]` |
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provides metadata to enable merging. |
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## Annotated datsets |
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We provide annotations for (subsets) of the following datasets: |
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| Dataset | License | Source | |
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|---------|---------|--------| |
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| **MultiPref** | ODC-By (MultiPref), subsets vary | [MultiPref on HuggingFace](https://huggingface.co/datasets/allenai/multipref) | |
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| **PRISM** | CC-BY-4.0 (prompts), CC-BY-NC-4.0 (responses), plus model terms | [PRISM on HuggingFace](https://huggingface.co/datasets/HannahRoseKirk/prism-alignment) | |
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| **Chatbot Arena** | | | |
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| └ Arena Explorer release | CC-BY-4.0 (prompts), model terms of use (responses) | [Arena Explorer on HuggingFace](https://huggingface.co/datasets/lmarena-ai/arena-human-preference-100k) | |
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| └ Llama-4-Maverick release | CC-BY-4.0 (prompts), model terms of use (responses) | [Llama-4-Maverick on HuggingFace](https://huggingface.co/spaces/lmarena-ai/Llama-4-Maverick-03-26-Experimental_battles/blob/main/data/clean-llama4.jsonl) | |
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| **FF-Model-Personality** | ODC-By and CC-BY-4.0 (prompts), model terms of use (responses) | [FF-Model-Personality on Huggingface](https://huggingface.co/datasets/rdnfn/ff-model-personality/blob/main/data/v1/annotations/combined_ap.json) | |
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We further include the human and AI annotations (`human_personality_annotations.json`) used for validating our AI annotators. |
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## License |
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This dataset is licensed under *Open Data Commons License Attribution License* (ODC-By) (https://opendatacommons.org/licenses/by/1-0/). |
