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Release SIGNPOST-Bench v1.0: benchmark metadata, attacks, taxonomy, ground truth, and human annotations (CC-BY-4.0)

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README.md CHANGED
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  ---
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  license: cc-by-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-4.0
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+ task_categories:
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+ - visual-question-answering
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+ - image-to-text
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+ language:
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+ - en
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+ - zh
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+ - de
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+ - fr
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+ - es
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+ - ja
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+ - ko
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+ size_categories:
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+ - 10K<n<100K
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+ tags:
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+ - multimodal
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+ - geo-localization
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+ - text-vision-conflict
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+ - benchmark
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+ viewer: false
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+ pretty_name: SIGNPOST-Bench
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  ---
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+
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+ # SIGNPOST-Bench
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+
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+ **SIGNPOST-Bench: Benchmarking Text--Vision Conflict Resolution in Multimodal Large Language Models**
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+
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+ [📖 ArXiv](https://huggingface.co/papers/XXXX.XXXXX) | [🐙 Code](https://github.com/inorganicwriter/SIGNPOST-Bench) | [🤗 Dataset](https://huggingface.co/datasets/inorganicwriter/SIGNPOST-Bench)
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+
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+ > **Note**: SIGNPOST-Bench is a benchmark evaluation resource, not a training
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+ > dataset. It defines no train/test/validation splits. The data table preview
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+ > is disabled on purpose; this repository stores metadata and annotations only.
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+
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+ This repository accompanies the paper *"SIGNPOST-Bench: Benchmarking Text--Vision Conflict Resolution in Multimodal Large Language Models"*. It contains the metadata, attack texts, ground-truth labels, taxonomy, and human annotations for the benchmark; the evaluation code is in the [GitHub repository](https://github.com/inorganicwriter/SIGNPOST-Bench).
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+
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+ ## Dataset Overview
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+
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+ | Property | Value |
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+ |---|---|
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+ | Counterfactual groups | 5,111 |
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+ | Image variants | 25,555 (Original + Blank/Similar/Random/Adversarial per group) |
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+ | Scene-text spans | 10,084 |
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+ | Sources | IM2GPS3K (651), YFCC4K (992), GoogleSV (2,337), BaiduSV (1,131) |
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+ | Tier labels | T1 Portable 347 (6.8%), T2 Cultural 3,851 (75.3%), T3 Geo-Specific 913 (17.9%) |
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+ | Geocodable adversarial targets | 1,732 (33.9%) |
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+
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+ Each counterfactual group transforms one source image into five matched variants:
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+
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+ - **Original**: unmodified source image.
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+ - **Blank**: selected scene-text spans removed (text-ablated reference).
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+ - **Similar**: text replaced with alternatives compatible with the ground-truth geographic context or language.
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+ - **Random**: unrelated readable text without a designated geographic target.
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+ - **Adversarial**: geographically conflicting text; when geocodable, defines an injected target.
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+
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+ ## File Structure
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+
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+ This repository contains the benchmark **metadata and annotations only**; the
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+ image variants themselves are not included (see [Images](#images) below).
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+
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+ ```
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+ .
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+ ├── im2gps3k/
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+ │ ├── attacks.jsonl one entry per group: source ID, image path,
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+ │ │ per-span original text, location, and
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+ │ │ similar/random/adversarial replacements
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+ │ ├── taxonomy_labels.jsonl per-group T1/T2/T3 tier, original text,
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+ │ │ and adversarial text used for TFR/TDR
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+ │ ├── metadata/im2gps3k_gt.tsv ground-truth coordinates (20-column
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+ │ │ headerless TSV; columns 11 and 12 are
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+ │ │ longitude and latitude)
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+ │ └── images/benchmark_meta.jsonl one entry per generated variant (4 per
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+ │ group): filename, original source ID,
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+ │ injected text, synthesis prompt, seed
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+ ├── yfcc4k/ (992 groups)
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+ ├── googlesv/ (2,337 groups)
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+ ├── baidusv/ (1,131 groups)
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+ ├── geocode_cache.json frozen geocode cache for TFR/TDR (adversarial
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+ │ text → coordinates; Nominatim)
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+ ├── taxonomy_annotations.csv 350 stratified images with automatic tier and
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+ │ two independent human annotator tiers
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+ │ (83.4% agreement, κ = 0.747)
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+ └── realism_annotations.csv 120 audited generated images: text naturalness
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+ (1–5), artifact severity (1–5), context damage
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+ (1–5), readability
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+ ```
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+
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+ ## Images
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+
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+ The 25,555 image variants (~30 GB) are **not** part of this repository due to
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+ size and third-party source restrictions. Each benchmark image can be
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+ uniquely identified and reconstructed as follows:
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+
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+ 1. The source photograph is identified by original_source in
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+ benchmark_meta.jsonl (or by original_filename in attacks.jsonl).
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+ 2. The Benchmark Generation pipeline in the
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+ [code repository](https://github.com/inorganicwriter/SIGNPOST-Bench)
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+ (data_collector/main_benchmark.py + ComfyUI workflows) reproduces each
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+ variant deterministically from the recorded prompt_used and seed.
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+
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+ The image_path and clean_image_path fields in attacks.jsonl point to the
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+ development environment's source-image layout and are not resolvable inside
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+ this repository; use original_filename to identify the source photo.
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+
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+ Contact the authors if you need access to the image set for non-commercial
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+ research purposes.
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+
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+ ### Example of attacks.jsonl
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+
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+ ```json
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+ {
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+ "original_filename": "171638526",
113
+ "clean_image_path": "Clean/171638526",
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+ "image_path": "im2gps3k/filtered_images/171638526.jpg",
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+ "texts": [
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+ {
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+ "original_text": "LEUKERBAD",
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+ "text_location": "on the side of the blue bus near the front",
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+ "attacks": {
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+ "similar": "LEUKERBADER",
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+ "random": "Tromsø",
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+ "adversarial": "Aspen"
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+ }
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+ }
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+ ]
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+ }
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+ ```
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+
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+ ## Usage
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+
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+ Download this repository (or git clone https://huggingface.co/datasets/inorganicwriter/SIGNPOST-Bench) and point the evaluation code at it:
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+
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+ ```bash
134
+ # From the SIGNPOST-Bench code repository
135
+ export SIGNPOST_DATA_ROOT=/path/to/this/dataset # the folder containing im2gps3k/, yfcc4k/, ...
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+ python evaluate.py --dataset im2gps3k --variant Adversarial --model gemini-2.5-flash
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+ ```
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+
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+ See the [GitHub README](https://github.com/inorganicwriter/SIGNPOST-Bench) for the full evaluation and metric computation pipeline.
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+
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+ ## Human Annotations
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+
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+ - **Tier labels**: 350 stratified source images, each labeled by the automatic classifier and two independent human annotators (83.4% pairwise agreement, Cohen's κ = 0.747).
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+ - **Realism audit**: 120 generated Similar/Random/Adversarial images rated for text naturalness (mean 4.00 ± 1.26 on a 1–5 scale), artifact severity (1.32 ± 0.78), and surrounding-context damage (1.14 ± 0.52); 87.5% of rendered text fully readable, 12.5% partially readable, none unreadable.
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+
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+ ## License and Attribution
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+
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+ This dataset is released under the [Creative Commons Attribution 4.0 International (CC-BY-4.0)](https://creativecommons.org/licenses/by/4.0/) license. The benchmark content (attack texts, taxonomy labels, annotations, metadata) was created by the authors. This repository contains **no images**; image variants are identified by source IDs only, so no third-party imagery is redistributed here. If you need access to the image set for research purposes, contact the authors.
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+
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+ ### Referenced Sources
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+
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+ - **[IM2GPS](http://graphics.cs.cmu.edu/projects/im2gps/)**: geotagged Flickr photographs (source of the IM2GPS3K test split)
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+ - **[YFCC100M](https://multimediacommons.wordpress.com/yfcc100m/)**: Yahoo Flickr Creative Commons 100M (source of YFCC4K)
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+ - **[Google Street View](https://www.google.com/streetview/)**: international street-view imagery (GoogleSV)
155
+ - **[Baidu Street View](https://map.baidu.com/)**: Chinese street-view imagery (BaiduSV)
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+
157
+ When using this dataset, please cite:
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+
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+ ```bibtex
160
+ @article{li2026signpost,
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+ title={SIGNPOST-Bench: Benchmarking Text--Vision Conflict Resolution in Multimodal Large Language Models},
162
+ author={Li, Sirun and Liu, Minghao and Dai, Ling and Li, Yong and Lyu, Haoxin and Zhou, Junting and Zhang, Fan},
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+ journal={arXiv preprint},
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+ year={2026}
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+ }
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+ ```
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+
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+ ## Contact
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+
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+ Fan Zhang (corresponding author): fanzhanggis@pku.edu.cn
baidusv/attacks.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
baidusv/images/benchmark_meta.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
baidusv/metadata/baidusv_gt.tsv ADDED
The diff for this file is too large to render. See raw diff
 
baidusv/taxonomy_labels.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
geocode_cache.json ADDED
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1
+ {
2
+ "st. patrick's": {
3
+ "lat": 46.3928298,
4
+ "lon": -63.3849034,
5
+ "display": "St Patricks, Queens County, Prince Edward Island, Canada"
6
+ },
7
+ "tokyo": {
8
+ "lat": 35.6768601,
9
+ "lon": 139.7638947,
10
+ "display": "東京都, 日本"
11
+ },
12
+ "sydney": {
13
+ "lat": -33.8698439,
14
+ "lon": 151.2082848,
15
+ "display": "Sydney, New South Wales, Australia"
16
+ },
17
+ "parc des princes": {
18
+ "lat": 48.8413634,
19
+ "lon": 2.2530693,
20
+ "display": "Parc des Princes, 24, Rue du Commandant Guilbaud, Quartier d'Auteuil, Paris 16e Arrondissement, Paris, Île-de-France, France métropolitaine, 75016, France"
21
+ },
22
+ "buenos aires": {
23
+ "lat": -34.6095579,
24
+ "lon": -58.3887904,
25
+ "display": "Buenos Aires, Comuna 1, Ciudad Autónoma de Buenos Aires, Argentina"
26
+ },
27
+ "rue de rivoli": {
28
+ "lat": 48.8659699,
29
+ "lon": 2.3254107,
30
+ "display": "Rue de Rivoli, Quartier Vendôme, Paris 1er Arrondissement, Paris, Île-de-France, France métropolitaine, 75001, France"
31
+ },
32
+ "são paulo gru 2b": {
33
+ "lat": -23.4296215,
34
+ "lon": -46.4964092,
35
+ "display": "Vtclog GRU - Sanca Aeroporto, 684, Parque Santo Agostinho, Taboão, Distrito-sede de Guarulhos, Guarulhos, São Paulo, Região Sudeste, 07140-233, Brasil"
36
+ },
37
+ "rotterdam": {
38
+ "lat": 51.9244424,
39
+ "lon": 4.47775,
40
+ "display": "Rotterdam, Zuid-Holland, Nederland"
41
+ },
42
+ "brooklyn": {
43
+ "lat": 40.6526006,
44
+ "lon": -73.9497211,
45
+ "display": "Brooklyn, Kings County, New York, United States"
46
+ },
47
+ "place de la concorde": {
48
+ "lat": 48.8655715,
49
+ "lon": 2.3212248,
50
+ "display": "Place de la Concorde, Quartier des Champs-Élysées, Paris 8e Arrondissement, Paris, Île-de-France, France métropolitaine, 75008, France"
51
+ },
52
+ "tokyo tower": {
53
+ "lat": 35.6584491,
54
+ "lon": 139.745536,
55
+ "display": "東京タワー, タクシー乗り場, 芝公園四丁目, 芝公園, 港区, 東京都, 105-0011, 日本"
56
+ },
57
+ "times square": {
58
+ "lat": 40.7570095,
59
+ "lon": -73.9859724,
60
+ "display": "Times Square, Manhattan Community Board 5, Manhattan, New York County, New York, 10036, United States"
61
+ },
62
+ "royal infirmary": {
63
+ "lat": 55.9223419,
64
+ "lon": -3.1325935,
65
+ "display": "Royal Infirmary, Little France Crescent, Little France, Moredun, Gilmerton/Inch, City of Edinburgh, Alba / Scotland, EH16 4SA, United Kingdom"
66
+ },
67
+ "melbourne": {
68
+ "lat": -37.8142454,
69
+ "lon": 144.9631732,
70
+ "display": "Melbourne, City of Melbourne, Victoria, Australia"
71
+ },
72
+ "bondi beach": {
73
+ "lat": -33.8906977,
74
+ "lon": 151.2724119,
75
+ "display": "Bondi Beach, Eastern Suburbs, Sydney, Waverley Council, New South Wales, 2026, Australia"
76
+ },
77
+ "orly airport": {
78
+ "lat": 48.7295567,
79
+ "lon": 2.3682566,
80
+ "display": "Aéroport d'Orly, Rue de Barcelone, Paray-Vieille-Poste, Palaiseau, Essonne, Île-de-France, France métropolitaine, 94390, France"
81
+ },
82
+ "bond street": {
83
+ "lat": 51.5135348,
84
+ "lon": -0.1470905,
85
+ "display": "Bond Street, Globe Yard, East Marylebone, Mayfair, City of Westminster, Greater London, England, W1K 5SN, United Kingdom"
86
+ },
87
+ "10 downing st": {
88
+ "lat": 51.5034878,
89
+ "lon": -0.1276965,
90
+ "display": "10 Downing Street, 10, Downing Street, Westminster, Covent Garden, City of Westminster, Greater London, England, SW1A 2AA, United Kingdom"
91
+ },
92
+ "yosemite": {
93
+ "lat": -33.700872,
94
+ "lon": 150.3161438,
95
+ "display": "Yosemite, Sydney, New South Wales, 2780, Australia"
96
+ },
97
+ "saito tokyo": {
98
+ "lat": 35.6977127,
99
+ "lon": 139.6715535,
100
+ "display": "SAITO, 青梅街道, 中央三丁目, 中央, 中野区, 東京都, 164-0011, 日本"
101
+ },
102
+ "b 739420": null,
103
+ "os": {
104
+ "lat": 43.3890851,
105
+ "lon": -0.6150563,
106
+ "display": "Os-Marsillon, Pau, Pyrénées-Atlantiques, Nouvelle-Aquitaine, France métropolitaine, 64150, France"
107
+ },
108
+ "eton college uk": {
109
+ "lat": 51.494204,
110
+ "lon": -0.6063262,
111
+ "display": "Eton College, A332, Chalvey, Windsor, England, SL4 6DW, United Kingdom"
112
+ },
113
+ "bondi station": {
114
+ "lat": -33.8912429,
115
+ "lon": 151.248455,
116
+ "display": "Bondi Junction, Rowe Street, Bondi Junction, Eastern Suburbs, Sydney, Waverley Council, New South Wales, 2022, Australia"
117
+ },
118
+ "lenin mausoleum": {
119
+ "lat": 55.7537311,
120
+ "lon": 37.6199018,
121
+ "display": "Мавзолей В. И. Ленина, Красная площадь, Китай-город, 4, Тверской район, Москва, Центральный федеральный округ, 103073, Россия"
122
+ },
123
+ "broadway": {
124
+ "lat": 40.7922307,
125
+ "lon": -73.9734416,
126
+ "display": "Broadway, Upper West Side, Manhattan Community Board 7, Manhattan, New York County, New York, 10024, United States"
127
+ },
128
+ "city of toronto": {
129
+ "lat": 43.6534817,
130
+ "lon": -79.3839347,
131
+ "display": "Toronto, Golden Horseshoe, Ontario, Canada"
132
+ },
133
+ "pier 39": {
134
+ "lat": 37.810548,
135
+ "lon": -122.4106165,
136
+ "display": "Pier 39, San Francisco, California, 94133, United States"
137
+ },
138
+ "casablanca": {
139
+ "lat": 33.5945144,
140
+ "lon": -7.6200284,
141
+ "display": "Casablanca ⵜⴰⴷⴷⴰⵔⵜ ⵜⵓⵎⵍⵉⵍⵜ الدار البيضاء, Pachalik de Casablanca باشوية الدار البيضاء, Préfecture de Casablanca عمالة الدار البيضاء, Casablanca-Settat ⵜⴰⴷⴷⴰⵔⵜ ⵜⵓⵎⵍⵉⵍⵜ-ⵙⵟⵟⴰⵜ الدار البيضاء-سطات, Maroc ⵍⵎⵖⵔⵉⴱ المغرب"
142
+ },
143
+ "lisbon": {
144
+ "lat": 38.7077507,
145
+ "lon": -9.1365919,
146
+ "display": "Lisboa, Portugal"
147
+ },
148
+ "chartres cath.": null,
149
+ "st. paul cathedral": {
150
+ "lat": 46.4828923,
151
+ "lon": 30.7240455,
152
+ "display": "Німецька євангелійсько-лютеранська церква св. Павла, 68, вулиця Новосельського, Центр, Приморський район, Одеса, Одеська міська громада, Одеський район, Одеська область, 65023, Україна"
153
+ },
154
+ "johannesburg": {
155
+ "lat": -26.205,
156
+ "lon": 28.049722,
157
+ "display": "Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa"
158
+ },
159
+ "i am brussels": {
160
+ "lat": 35.0756363,
161
+ "lon": 33.3934545,
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480
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604
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im2gps3k/taxonomy_labels.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
realism_annotations.csv ADDED
@@ -0,0 +1,121 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ sample_id,dataset,variant,injected_text,text_natural,obvious_artifact,visual_context_damaged,text_readable,notes
2
+ baidusv_Adversarial_09008200011612101646039022D_0_adversarial_Heathrow Term Terminal 1 Bus Station,baidusv,Adversarial,Heathrow Term; Terminal 1; Bus Station,3,1,2,Yes,
3
+ baidusv_Random_0900160012200827085111848HO_180_random_København,baidusv,Random,København,5,1,1,Yes,
4
+ im2gps3k_Adversarial_270383923_adversarial_BIRMINGHAM SYDNEY,im2gps3k,Adversarial,BIRMINGHAM; SYDNEY,5,1,1,Yes,
5
+ googlesv_Similar_xvJ7inlV91_SZUV-yLiwZg_90_similar_DEL FUTBOL NOBLET,googlesv,Similar,DEL FUTBOL; NOBLET,1,1,1,Yes,
6
+ im2gps3k_Random_381147491_random_vulkan-zestde KUNDTJÄNST Nippon Style,im2gps3k,Random,vulkan-zest.de; KUNDTJÄNST; Nippon Style,4,1,1,Yes,
7
+ yfcc4k_Random_6283158837_random_Komorebi Eldorado,yfcc4k,Random,Komorebi; Eldorado,5,1,1,Yes,
8
+ yfcc4k_Similar_6376967251_similar_ZIVIO BROZ,yfcc4k,Similar,ZIVIO BROZ,5,1,1,Yes,
9
+ baidusv_Similar_0900170012210323110417167GN_180_similar_惠诚眼科医院 HUIGUANG OPTICAL 专业验光配镜,baidusv,Similar,惠诚眼科医院; HUIGUANG OPTICAL; 专业验光配镜,3,1,1,Yes,
10
+ baidusv_Similar_09020000011611301038542389I_180_similar_羊肉面 豆花坊,baidusv,Similar,羊肉面; 豆花坊,5,1,1,Yes,
11
+ baidusv_Adversarial_0900220012221231105322069AE_180_adversarial_Bond Street Fifth Avenue,baidusv,Adversarial,Bond Street; Fifth Avenue,4,1,1,Yes,
12
+ yfcc4k_Similar_365864022_similar_ALCS MLBorg,yfcc4k,Similar,ALCS; MLB.org,4,3,1,Yes,
13
+ baidusv_Similar_09031700122006030756428835L_180_similar_亚泰陶瓷常德二分部 0736-7275199 兴隆石材雕刻,baidusv,Similar,亚泰陶瓷常德二分部; 0736-7275199; 兴隆石材雕刻,2,4,1,Partial,
14
+ yfcc4k_Random_6907949010_random_Eldritch Gare,yfcc4k,Random,Eldritch; Gare,5,1,1,Yes,
15
+ googlesv_Random_XHA7c_27oTQgT6Gf9sj63A_0_random_Eldritch Ark Caminho,googlesv,Random,Eldritch Ark; Caminho,4,1,1,Yes,
16
+ baidusv_Adversarial_09032200121811221558222939Z_180_adversarial_Bond Street Fifth Avenue Rue de Rivoli,baidusv,Adversarial,Bond Street; Fifth Avenue; Rue de Rivoli,4,1,1,Yes,
17
+ im2gps3k_Random_175718513_random_PIXEL KOPPEL,im2gps3k,Random,PIXEL; KOPPEL,5,1,1,Yes,
18
+ im2gps3k_Similar_128003004_similar_THE EMPRESS HI CIBC Bank,im2gps3k,Similar,THE EMPRESS HI; CIBC Bank,4,1,2,Yes,
19
+ googlesv_Similar_qbkePCg7LO-gNW8A13-jbw_270_similar_EL LAGUNA Mexi Restaurant C I,googlesv,Similar,EL LAGUNA; Mexi Restaurant; C & I,5,1,1,Yes,
20
+ baidusv_Similar_09024500011602271104319528J_180_similar_JIEYA DENTAL 洁雅口腔诊所,baidusv,Similar,JIEYA DENTAL; 洁雅口腔诊所,5,1,1,Yes,
21
+ googlesv_Adversarial_WCo7NXSRRKM8zfjwkUX-Yg_90_adversarial_Supercheap Auto,googlesv,Adversarial,Supercheap Auto,5,1,1,Yes,
22
+ yfcc4k_Adversarial_9422845058_adversarial_ASAHI BEER STADT WIEN,yfcc4k,Adversarial,ASAHI BEER; STADT WIEN,3,2,1,Yes,
23
+ googlesv_Adversarial_KmNHzA_KVbEnWUxHBQwD-A_180_adversarial_BROADWAY WILLKOMMEN,googlesv,Adversarial,BROADWAY; WILLKOMMEN,3,2,1,Yes,
24
+ im2gps3k_Random_181843835_random_Venta Total Achtung,im2gps3k,Random,Venta Total; Achtung,5,1,1,Yes,
25
+ im2gps3k_Adversarial_1439282511_adversarial_Closed Mondays 1000 to 1800,im2gps3k,Adversarial,Closed Mondays; 10:00 to 18:00,4,1,1,Yes,
26
+ baidusv_Adversarial_09028600011606241532413466C_90_adversarial_IKEA Paris,baidusv,Adversarial,IKEA Paris,4,1,1,Yes,
27
+ baidusv_Similar_09032200121811221558222939Z_180_similar_冠皇箱包 皮件箱包 苏杭名品,baidusv,Similar,冠皇箱包; 皮件箱包; 苏杭名品,3,3,2,Partial,
28
+ im2gps3k_Random_1344160892_random_København Tervetuloa,im2gps3k,Random,København; Tervetuloa,3,1,1,Yes,
29
+ baidusv_Random_0900570012210313105452603HI_180_random_Vintergatan Zocalo Skjolden,baidusv,Random,Vintergatan; Zocalo; Skjolden,2,1,1,Yes,
30
+ im2gps3k_Similar_529821616_similar_新洽路 金穗信用卡,im2gps3k,Similar,新洽路; 金穗信用卡,5,1,1,Yes,
31
+ baidusv_Adversarial_09027800122003041252578651J_180_adversarial_Alexanderplatz Princes Street Oxford Street Princes Street,baidusv,Adversarial,Alexanderplatz; Princes Street; Oxford Street; Princes Street,1,1,1,Yes,
32
+ baidusv_Adversarial_09024700011606261106234995X_0_adversarial_Broadway Alexanderplatz,baidusv,Adversarial,Broadway; Alexanderplatz,5,1,1,Yes,
33
+ googlesv_Adversarial_ifGNZLUjgOgnXVS35npBzw_180_adversarial_For Sale NYC Cape Town Plaza,googlesv,Adversarial,For Sale NYC; Cape Town Plaza,4,1,1,Yes,
34
+ im2gps3k_Random_425858671_random_Eldritch STILLE Komorebi,im2gps3k,Random,Eldritch; STILLE; Komorebi,5,1,1,Yes,
35
+ im2gps3k_Adversarial_943507788_adversarial_241A65 BR-101001 Brasserie,im2gps3k,Adversarial,241.A.65; BR-101.001; Brasserie,5,1,1,Yes,
36
+ googlesv_Random_aFfQrWBWD47PbrE58xpiDA_0_random_Vinterbro Kvarteret Maison Bleu,googlesv,Random,Vinterbro; Kvarteret; Maison Bleu,5,1,1,Yes,
37
+ yfcc4k_Adversarial_3093314406_adversarial_Lamborghin,yfcc4k,Adversarial,Lamborghin,5,1,1,Yes,
38
+ im2gps3k_Adversarial_517839578_adversarial_Gettysburg Springfield Melbourne,im2gps3k,Adversarial,Gettysburg; Springfield; Melbourne,3,1,1,Yes,
39
+ im2gps3k_Adversarial_258180274_adversarial_Hyde Park Rio Carnival 2003,im2gps3k,Adversarial,Hyde Park; Rio Carnival 2003,5,1,1,Yes,
40
+ im2gps3k_Random_529821616_random_Eldritch Nordlys,im2gps3k,Random,Eldritch; Nordlys,1,1,1,Yes,
41
+ googlesv_Random_AL_6hIyAU4wpcAH3Zh7UrA_90_random_Værhusgata,googlesv,Random,Værhusgata,1,1,5,Yes,
42
+ yfcc4k_Similar_6775033065_similar_c 2011 RachidM,yfcc4k,Similar,(c) 2011 RachidM,5,1,1,Yes,
43
+ yfcc4k_Similar_8287501567_similar_425,yfcc4k,Similar,425,5,1,1,Yes,
44
+ googlesv_Similar_g8NjIoVvZ3bmFyy2FG9JEQ_0_similar_30,googlesv,Similar,30,4,1,1,Yes,
45
+ googlesv_Random_TjM1siLKz_KGjNjjpiOoMA_180_random_Købmandshus Zona Verde,googlesv,Random,Købmandshus; Zona Verde,5,1,1,Yes,
46
+ im2gps3k_Adversarial_69997478_adversarial_STEAKHOUSE MEXICANO Taste of Kyoto,im2gps3k,Adversarial,STEAKHOUSE; MEXICANO; Taste of Kyoto,5,1,1,Yes,
47
+ googlesv_Adversarial_1JDADcqog9n5KHyUpuE7Fw_0_adversarial_GIVEWAY,googlesv,Adversarial,GIVEWAY,2,1,1,Yes,
48
+ googlesv_Adversarial_VxWQmyBGMnhOkwXzo9n5oQ_0_adversarial_TATE MODERN OPERA GARNIER,googlesv,Adversarial,TATE MODERN; OPERA GARNIER,3,1,1,Yes,
49
+ baidusv_Random_09025000122203291335143487B_180_random_Vintergatan Skjolden,baidusv,Random,Vintergatan; Skjolden,4,1,1,Yes,
50
+ baidusv_Adversarial_09000200122106091155468042S_90_adversarial_Alexanderplatz,baidusv,Adversarial,Alexanderplatz,5,1,1,Yes,
51
+ baidusv_Adversarial_0902480012220824102418674GR_180_adversarial_Bond Street Main Street Market St,baidusv,Adversarial,Bond Street; Main Street; Market St,4,3,1,Yes,
52
+ googlesv_Similar_tt23KztoazPe-j1rFOvxmg_270_similar_CITY GLASS MIRROR,googlesv,Similar,CITY GLASS & MIRROR,2,2,3,Partial,
53
+ baidusv_Adversarial_09022400122004151500165697F_180_adversarial_Tokyo Tower São Paulo,baidusv,Adversarial,Tokyo Tower; São Paulo,4,1,1,Yes,
54
+ yfcc4k_Adversarial_5434819262_adversarial_Gubbio,yfcc4k,Adversarial,Gubbio,4,1,2,Yes,
55
+ baidusv_Similar_09006200121712151457525678S_90_similar_锦绣前程,baidusv,Similar,锦绣前程,5,1,1,Yes,
56
+ yfcc4k_Random_8378040697_random_Vintergatan Západní ulice Helsinki,yfcc4k,Random,Vintergatan; Západní ulice; Helsinki,5,1,1,Yes,
57
+ googlesv_Random_SKBv6UGdm5MH3A43K-21fg_0_random_ENTRADA,googlesv,Random,ENTRADA,5,1,1,Yes,
58
+ im2gps3k_Random_379423649_random_74-KPL-9,im2gps3k,Random,74-KPL-9,5,2,1,Yes,
59
+ baidusv_Random_09016100011606171645061838I_0_random_Købmand,baidusv,Random,Købmand,5,1,1,Yes,
60
+ googlesv_Random_xTjYcCdDh84mS1_0iczlfw_90_random_Eldritch Køge,googlesv,Random,Eldritch; Køge,5,1,1,Yes,
61
+ im2gps3k_Adversarial_965205747_adversarial_JA-37 MiG-21,im2gps3k,Adversarial,JA-37; MiG-21,4,1,1,Yes,
62
+ im2gps3k_Adversarial_1253192502_adversarial_KING CRAB BOSTON LOBSTER,im2gps3k,Adversarial,KING CRAB; BOSTON LOBSTER,5,5,1,Yes,
63
+ im2gps3k_Adversarial_226988259_adversarial_CAB Bond St,im2gps3k,Adversarial,CAB; Bond St,5,1,1,Yes,
64
+ baidusv_Random_01002200001308091316242765Q_0_random_Vintergata,baidusv,Random,Vintergata,4,1,1,Yes,
65
+ baidusv_Similar_09002900011602231627266834C_180_similar_城市物流 洋河超市,baidusv,Similar,城市物流; 洋河超市,3,1,1,Yes,
66
+ baidusv_Similar_09005300011611191502540849X_90_similar_SY20 F38,baidusv,Similar,SY20 F38,5,1,1,Yes,
67
+ yfcc4k_Random_6251612460_random_KOPPEL V-IX-MMXX,yfcc4k,Random,KOPPEL; V-IX-MMXX,2,1,1,Yes,
68
+ baidusv_Similar_09001400011607210803187034C_0_similar_兴哲门窗 奇安装饰,baidusv,Similar,兴哲门窗; 奇安装饰,5,1,1,Yes,
69
+ baidusv_Adversarial_09002200011605131202030812I_90_adversarial_Toll Road,baidusv,Adversarial,Toll Road,3,1,1,Yes,
70
+ baidusv_Similar_09004600001407091027347895D_0_similar_中国联通 用移动,baidusv,Similar,中国联通; 用移动,3,3,2,Yes,
71
+ im2gps3k_Similar_225828659_similar_DBKL KUALA LUMPUR PRINSIP NEGARA LAGU NEGARAKU,im2gps3k,Similar,DBKL KUALA LUMPUR; PRINSIP NEGARA; LAGU NEGARAKU,4,1,1,Yes,
72
+ baidusv_Similar_09028900011606030956140784A_180_similar_郑东国际中心 云漫商业广场 中国建筑,baidusv,Similar,郑东国际中心; 云漫商业广场; 中国建筑,5,1,1,Yes,
73
+ yfcc4k_Adversarial_7168622745_adversarial_BUNGALOW 8 Casa de Campo,yfcc4k,Adversarial,BUNGALOW 8; Casa de Campo,5,1,1,Yes,
74
+ im2gps3k_Similar_758529698_similar_2689 No Entry,im2gps3k,Similar,2689; No Entry,4,1,1,Yes,
75
+ baidusv_Similar_09005700011601011206357348J_180_similar_VIPABCcn 真人外教 英语学习 口语听力在线练,baidusv,Similar,VIPABC.cn; 真人外教 英语学习; 口语听力在线练,3,5,1,Partial,
76
+ googlesv_Similar_cK19_IkHxsIWRYyATz3gGQ_0_similar_TELE DELIVERY ROD LUZ,googlesv,Similar,TELE DELIVERY; ROD LUZ,1,1,1,Yes,
77
+ baidusv_Adversarial_09002900011603031016585724B_0_adversarial_221B,baidusv,Adversarial,221B,5,1,1,Yes,
78
+ yfcc4k_Random_6860474752_random_København,yfcc4k,Random,København,4,1,1,Yes,
79
+ yfcc4k_Adversarial_8056628847_adversarial_JIS Auckland ASNZS 3000,yfcc4k,Adversarial,JIS; Auckland; AS/NZS 3000,5,1,1,Yes,
80
+ googlesv_Similar_zFAl-FoRqadkTW9njQreXQ_270_similar_CAUTION,googlesv,Similar,CAUTION,3,2,1,Partial,
81
+ googlesv_Random_Cwc-YBAcr9Fp_VidB2kAWw_180_random_København,googlesv,Random,København,4,2,3,Partial,
82
+ googlesv_Adversarial_vd94ooaYEYavZsQ9gGHoSA_180_adversarial_ARRÊT,googlesv,Adversarial,ARRÊT,2,1,1,Yes,
83
+ yfcc4k_Random_5204704187_random_Vogel,yfcc4k,Random,Vogel,4,1,1,Yes,
84
+ im2gps3k_Similar_487157149_similar_童涵春药号 中药鉴别 冬虫夏草,im2gps3k,Similar,童涵春药号; 中药鉴别; 冬虫夏草,5,1,1,Yes,
85
+ baidusv_Random_0903020012191130105121229HD_180_random_Kaffe Haus Vatnsholt,baidusv,Random,Kaffe Haus; Vatnsholt,5,1,1,Yes,
86
+ baidusv_Random_09018600121903090758344541L_180_random_Zénith Café,baidusv,Random,Zénith Café,5,1,1,Yes,
87
+ im2gps3k_Similar_162269716_similar_SANFRA,im2gps3k,Similar,SANFRA,5,1,1,Yes,
88
+ baidusv_Adversarial_09021500121711081450474396B_180_adversarial_Bond Street Fifth Avenue Rue de Rivoli,baidusv,Adversarial,Bond Street; Fifth Avenue; Rue de Rivoli,4,1,1,Yes,
89
+ googlesv_Similar_9MqOCBadzwGceQ-SMU8w-g_180_similar_SAN DIEGO CARE,googlesv,Similar,SAN DIEGO CARE,2,3,1,Partial,
90
+ googlesv_Similar_hInBjvtMlAh1fFxrs28F9g_90_similar_Car-X,googlesv,Similar,Car-X,3,2,1,Partial,
91
+ im2gps3k_Similar_113822018_similar_THE ELMORE SHOP FIRE WARDEN Barbour Realty,im2gps3k,Similar,THE ELMORE SHOP; FIRE WARDEN; Barbour Realty,5,1,1,Yes,
92
+ im2gps3k_Similar_1352223289_similar_CHI-TOWN SUPPORT MACYS,im2gps3k,Similar,CHI-TOWN; SUPPORT MACY'S,1,1,1,Yes,
93
+ im2gps3k_Random_219419138_random_København,im2gps3k,Random,København,5,1,1,Yes,
94
+ googlesv_Adversarial_XJ61hRKkeP5dIygJYrJGGA_90_adversarial_CEDER B14 11,googlesv,Adversarial,CEDER; B14 11,1,1,1,Yes,
95
+ yfcc4k_Similar_4650143817_similar_RLasosa,yfcc4k,Similar,RLasosa,5,1,1,Yes,
96
+ yfcc4k_Adversarial_13152713384_adversarial_SNCF Express,yfcc4k,Adversarial,SNCF Express,1,1,1,Yes,
97
+ yfcc4k_Random_605435276_random_45t,yfcc4k,Random,4.5t,4,1,1,Yes,
98
+ yfcc4k_Random_2732811639_random_Koto Vintergata,yfcc4k,Random,Koto; Vintergata,5,1,1,Yes,
99
+ yfcc4k_Adversarial_7752875494_adversarial_Caltech campusuclaedu,yfcc4k,Adversarial,Caltech; campus.ucla.edu,4,1,1,Yes,
100
+ im2gps3k_Adversarial_438544715_adversarial_Alexanderplatz Princes Street Oxford Street,im2gps3k,Adversarial,Alexanderplatz; Princes Street; Oxford Street,5,1,1,Yes,
101
+ yfcc4k_Random_9162576596_random_PIXEL CAFE YAMAGATA,yfcc4k,Random,PIXEL CAFE; YAMAGATA,5,1,1,Yes,
102
+ im2gps3k_Random_266488307_random_MEZAR TARI,im2gps3k,Random,MEZAR TARI,5,2,2,Partial,
103
+ yfcc4k_Similar_9341610179_similar_北街,yfcc4k,Similar,北街,5,1,1,Yes,
104
+ im2gps3k_Random_345111273_random_Ulaanbaatar,im2gps3k,Random,Ulaanbaatar,5,1,1,Yes,
105
+ im2gps3k_Random_1352223289_random_Eldorado Kopi Susu,im2gps3k,Random,Eldorado; Kopi Susu,5,1,1,Yes,
106
+ baidusv_Adversarial_09029200121711141243227709C_180_adversarial_Berlin Courier Samsung Mercado,baidusv,Adversarial,Berlin Courier; Samsung; Mercado,2,2,3,Partial,
107
+ baidusv_Adversarial_0900480012210109124116588HI_180_adversarial_Alexanderplatz Princes Street Bond Street,baidusv,Adversarial,Alexanderplatz; Princes Street; Bond Street,3,3,2,Partial,
108
+ yfcc4k_Random_3150517671_random_Tromsø-Havn,yfcc4k,Random,Tromsø-Havn,5,1,1,Yes,
109
+ yfcc4k_Adversarial_897287364_adversarial_Bondi E11,yfcc4k,Adversarial,Bondi; E11,5,1,1,Yes,
110
+ googlesv_Adversarial_-akEuPvN4NFni0i9r_c0Wg_180_adversarial_Bayer,googlesv,Adversarial,Bayer,3,2,1,Partial,
111
+ googlesv_Random_mryWJlh6cZK6cvurc5d1aQ_180_random_Zvijezda Friz Vogel Co Auberge du Lac,googlesv,Random,Zvijezda Friz; Vogel & Co; Auberge du Lac,4,1,1,Yes,
112
+ googlesv_Similar_o53BOdoHTujcydlv-ecxDw_270_similar_Grill,googlesv,Similar,Grill,4,3,1,Partial,
113
+ im2gps3k_Similar_1301640818_similar_489 ABC 75 264 KLF 75,im2gps3k,Similar,489 ABC 75; 264 KLF 75,5,1,1,Yes,
114
+ yfcc4k_Random_5583108612_random_ヴァルハラ,yfcc4k,Random,ヴァルハラ,4,2,1,Partial,
115
+ googlesv_Adversarial_agIyFYrYQ8AZ73dWQ65AjQ_0_adversarial_Hotel Meurice Casablanca,googlesv,Adversarial,Hotel Meurice; Casablanca,5,1,1,Yes,
116
+ yfcc4k_Similar_2715441368_similar_MS DIXIE III,yfcc4k,Similar,M.S. DIXIE III,5,1,1,Yes,
117
+ baidusv_Random_0901660012200704162506032GR_0_random_Glacier Peak Vintergatan Komorebi,baidusv,Random,Glacier Peak; Vintergatan; Komorebi,1,3,1,Partial,
118
+ yfcc4k_Random_7249793388_random_Zomerfestival Jardin Dété Qalat al-Hosn,yfcc4k,Random,Zomerfestival; Jardin D'été; Qal'at al-Hosn,5,1,1,Yes,
119
+ im2gps3k_Similar_1103239315_similar_THE CRUSH BSPOK x-rateds,im2gps3k,Similar,THE CRUSH; BSPOK; x-rateds,5,1,1,Yes,
120
+ googlesv_Similar_wF0-g7T6bAxZY-rwRDPHxA_0_similar_YIELD,googlesv,Similar,YIELD,5,1,1,Yes,
121
+ yfcc4k_Random_2783277956_random_Maison Bleu Eisvogel,yfcc4k,Random,Maison Bleu; Eisvogel,4,1,1,Yes,
taxonomy_annotations.csv ADDED
@@ -0,0 +1,351 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ sample_id,dataset,base_id,tier_auto,original_text,image_path,annotator1_tier,annotator2_tier,notes
2
+ T3_googlesv_Jrs-NB_7spWrVXKc4-QNVw_180,googlesv,Jrs-NB_7spWrVXKc4-QNVw_180,T3,,data/googlesv/filtered_images/Jrs-NB_7spWrVXKc4-QNVw_180.jpg,T3,T3,
3
+ T1_googlesv_C1wJs2cAjFV4Ftn3Qm-evA_270,googlesv,C1wJs2cAjFV4Ftn3Qm-evA_270,T1,,data/googlesv/filtered_images/C1wJs2cAjFV4Ftn3Qm-evA_270.jpg,T1,T1,
4
+ T1_googlesv_YI3AGgNlF5tFWwR4IpqalQ_180,googlesv,YI3AGgNlF5tFWwR4IpqalQ_180,T1,,data/googlesv/filtered_images/YI3AGgNlF5tFWwR4IpqalQ_180.jpg,T1,T1,
5
+ T3_googlesv_gLlyPn2Gyx-1sPM6eNnEcQ_0,googlesv,gLlyPn2Gyx-1sPM6eNnEcQ_0,T3,,data/googlesv/filtered_images/gLlyPn2Gyx-1sPM6eNnEcQ_0.jpg,T3,T3,
6
+ T2_googlesv_lifX__juZRdu25x7jKtICw_270,googlesv,lifX__juZRdu25x7jKtICw_270,T2,,data/googlesv/filtered_images/lifX__juZRdu25x7jKtICw_270.jpg,T2,T2,
7
+ T2_googlesv_xCEr2tRYnO0EZZsKCbHJOw_0,googlesv,xCEr2tRYnO0EZZsKCbHJOw_0,T2,,data/googlesv/filtered_images/xCEr2tRYnO0EZZsKCbHJOw_0.jpg,T3,T3,
8
+ T3_googlesv_p5t_XBQWJ_PGTrv4m-lZUQ_270,googlesv,p5t_XBQWJ_PGTrv4m-lZUQ_270,T3,,data/googlesv/filtered_images/p5t_XBQWJ_PGTrv4m-lZUQ_270.jpg,T3,T3,
9
+ T2_baidusv_09029800011603131235085137G_0,baidusv,09029800011603131235085137G_0,T2,,data/baidusv/filtered_images/09029800011603131235085137G_0.jpg,T2,T2,
10
+ T1_googlesv_KZJciEctPg6Az08HAcMiUg_90,googlesv,KZJciEctPg6Az08HAcMiUg_90,T1,,data/googlesv/filtered_images/KZJciEctPg6Az08HAcMiUg_90.jpg,T1,T1,
11
+ T1_googlesv_TC3nOYOGzfHIR-xqtfzGwQ_0,googlesv,TC3nOYOGzfHIR-xqtfzGwQ_0,T1,,data/googlesv/filtered_images/TC3nOYOGzfHIR-xqtfzGwQ_0.jpg,T1,T1,
12
+ T1_googlesv_2--Kz76Pp7MVSRic7zPpaQ_270,googlesv,2--Kz76Pp7MVSRic7zPpaQ_270,T1,,data/googlesv/filtered_images/2--Kz76Pp7MVSRic7zPpaQ_270.jpg,T1,T2,
13
+ T2_googlesv_59XDt9LfVVg1GCv1tEpprA_270,googlesv,59XDt9LfVVg1GCv1tEpprA_270,T2,,data/googlesv/filtered_images/59XDt9LfVVg1GCv1tEpprA_270.jpg,T2,T2,
14
+ T3_googlesv_lX_f7QDP51FJKzxypIjuSA_180,googlesv,lX_f7QDP51FJKzxypIjuSA_180,T3,,data/googlesv/filtered_images/lX_f7QDP51FJKzxypIjuSA_180.jpg,T3,T3,
15
+ T2_baidusv_09002400011602201317130056I_0,baidusv,09002400011602201317130056I_0,T2,,data/baidusv/filtered_images/09002400011602201317130056I_0.jpg,T3,T3,
16
+ T1_yfcc4k_2942689043,yfcc4k,2942689043,T1,,data/yfcc4k/filtered_images/2942689043.jpg,T1,T1,
17
+ T2_yfcc4k_8731793907,yfcc4k,8731793907,T2,,data/yfcc4k/filtered_images/8731793907.jpg,T2,T2,
18
+ T2_googlesv_Xg4JQFLS_tOjoUn7QEd7Zw_270,googlesv,Xg4JQFLS_tOjoUn7QEd7Zw_270,T2,,data/googlesv/filtered_images/Xg4JQFLS_tOjoUn7QEd7Zw_270.jpg,T2,T2,
19
+ T1_yfcc4k_3927742278,yfcc4k,3927742278,T1,,data/yfcc4k/filtered_images/3927742278.jpg,T1,T1,
20
+ T3_im2gps3k_629586190,im2gps3k,629586190,T3,,data/im2gps3k/filtered_images/629586190.jpg,T3,T3,
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