| --- |
| extra_gated_heading: "Research use only: accept the source licences" |
| extra_gated_prompt: >- |
| This dataset repackages images and labels from many third-party datasets. Several of them are |
| research-only or non-commercial (RVL-CDIP, AVA, ScienceQA, AG News, Yelp, Food-101, Oxford Flowers, |
| Stanford Cars), and images keep their original copyright. Every record carries its source licence in |
| the license column. By requesting access you agree to use this data for non-commercial research only |
| and to follow the licence and terms of each source dataset. |
| extra_gated_fields: |
| Affiliation: text |
| I will use this dataset for non-commercial research only: checkbox |
| I will follow the licence and terms of each source dataset: checkbox |
| extra_gated_button_content: "Agree and access" |
| license: other |
| license_name: mixed-per-source |
| task_categories: |
| - visual-question-answering |
| - image-classification |
| - reinforcement-learning |
| language: |
| - en |
| tags: |
| - decision-model |
| - calibration |
| - typesafe |
| - kev |
| - jev |
| - robotics |
| - atari |
| pretty_name: kev-vision-decisions-full |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: test/*.parquet |
| - split: test_ood |
| path: test_ood/*.parquet |
| - split: train |
| path: train/*.parquet |
| - split: validation |
| path: validation/*.parquet |
| --- |
| |
| # kev-vision-decisions-full |
|
|
| Typed, labelled **decisions about images**, in the TypeSafe `/v1/systemone` request shape: an *image* plus a *state* |
| (text or JSON), and one or more typed questions (`choice`, `noul` = yes/no, `score` = ordered levels), each with its |
| label. It was built to fine-tune [Kev](https://huggingface.co/jaredpalmer/kev-4b), a Jev-style decision model, to read images |
| (code: `kev-vision`), but any image classifier / VLM / reward model can use it. |
|
|
| **Full tier**: includes research-only / non-commercial sources (see the licence table). |
|
|
| > **Gated, research use only.** This repository repackages third-party data. Access is granted automatically once you |
| > accept the terms: non-commercial research only, and the licence of each source (the `license` column) applies to its |
| > records. Images keep their original copyright. If you are a rights holder and want a source removed, open a |
| > discussion on this repository. |
|
|
| ## Record format |
|
|
| | column | content | |
| |---|---| |
| | `image` | the image (JPEG/PNG), or null for text-only replay records | |
| | `state` | JSON: a string or an object (e.g. `{"game": ..., "previous_action": ...}`) | |
| | `questions` | JSON: `{qid: {"type", "instructions", "criteria", "label", "target"?, "src"}}`. Labels: the option name for `choice`, `true`/`false` for `noul`, the level index (from 0) for `score`. `target`, when present, is a soft distribution over the options (uniform when the image cannot answer; the voters' histogram for AVA). | |
| | `source`, `license`, `split`, `id` | provenance: every record carries the licence of the source it was derived from | |
|
|
| No augmentation is stored: option order, "none of the above" insertion and distractors are applied at training time. |
|
|
| ## What was added, source by source |
|
|
| | source | licence | questions | how it was converted | |
| |---|---|---|---| |
| | `vqav2` | CC-BY-4.0 (annotations); COCO images under their Flickr licenses | noul, score | yes/no and counting questions of VQAv2 (val2014 annotations) with ≥ 8/10 annotators agreeing; counts in 6 levels (zero … five or more); up to 4 questions per image; own split by COCO id % 10 | |
| | `aokvqa` | Apache-2.0 (annotations); COCO images | choice | A-OKVQA multiple choice, 4 options | |
| | `eurosat` | MIT | choice, noul | land use among 4–6 sampled classes with descriptions; "is this <class>?" balanced 50/50 | |
| | `pets` | CC-BY-SA-4.0 | choice, noul | breed among 5 sampled breeds; cat or dog | |
| | `fairface_age` | CC-BY-4.0 | score | apparent age in 9 ordered bins (gender and ethnicity deliberately not asked) | |
| | `chartnet` | CDLA-Permissive-2.0 | choice, noul | chart type among 5 sampled types (ChartNet core_permissive); "is this a <type>?" | |
| | `documents` | CDLA-Permissive-1.0 (DocLayNet) / CC-BY-4.0 (CORD) / MIT (invoices) | choice, noul | document page type among 5 of 8 classes: DocLayNet's financial reports, scientific articles, laws, government tenders, manuals, patents (balanced), CORD receipts, invoices; "is this a <type>?" | |
| | `pong` | Apache-2.0 (JAT) | choice | expert (JAT) next action; 4 consecutive frames tiled left→right, previous action in the state; ALE actions with the same effect merged | |
| | `breakout` | Apache-2.0 (JAT) | choice | same as Pong: stay / launch / right / left | |
| | `freeway` | Apache-2.0 (JAT) | choice | same as Pong: wait / up / down | |
| | `spaceinvaders` | Apache-2.0 (JAT) | choice | same as Pong: 6 actions (move × fire) | |
| | `mspacman` | Apache-2.0 (JAT) | choice | same as Pong: 9 joystick directions | |
| | `pusht` | MIT | choice, score | LeRobot PushT human demos: direction of the next end-effector target (8 compass sectors or hold) and step size (3 levels); previous move in the state | |
| | `text` | CC-BY-4.0 / CC-BY-SA-3.0 / MultiNLI terms | choice, noul, score | text-only replay from Kev's training sources (banking77, BoolQ, MultiNLI), no image | |
| | `blank` | CC0-1.0 (generated) | choice | an empty image of a random colour with a question it cannot answer; uniform soft target (teaches "I can't tell") | |
| | `pope` | COCO images; POPE annotations (MIT) | noul | **test_ood only**: POPE object-presence questions (random / popular / adversarial), balanced | |
| | `scienceqa` | CC-BY-NC-SA-4.0 | choice | ScienceQA questions that have an image; the hint passage goes in the state | |
| | `rvl_cdip` | IIT-CDIP terms (research only) | choice | document type among 6 of the 16 RVL-CDIP classes | |
| | `ava` | DPChallenge photos (research only) | score | aesthetic score 1–10; soft target = the voters' histogram (≥ 50 votes) | |
| | `text_full` | AG News (non-commercial), SST, Yelp dataset terms | choice, noul, score | text-only replay from AG News, SST-5, Yelp | |
| | `countbench` | unspecified (LAION images) | score | **test_ood only**: CountBenchQA counting, 11 levels | |
| | `ai2d` | unspecified (AI2 diagrams) | choice | **test_ood only**: AI2D science-diagram multiple choice | |
|
|
| ## Splits and counts |
|
|
| `train` / `validation` / `test` are disjoint within each source (the source's own splits where it has them; otherwise by |
| image id or episode). `test_ood` holds sources that are **never** used for training (out-of-domain evaluation). |
| VQAv2 and POPE both come from COCO val2014: every POPE image is excluded from VQAv2, and A-OKVQA (COCO 2017, which |
| contains val2014) skips any photo matching a POPE or VQAv2 validation/test image by perceptual hash. |
|
|
| | source | split | records | choice | noul | score | |
| |---|---|---|---|---|---| |
| | `vqav2` | test | 199 | 0 | 318 | 83 | |
| | `vqav2` | train | 24782 | 0 | 40749 | 9802 | |
| | `vqav2` | validation | 1249 | 0 | 2010 | 516 | |
| | `aokvqa` | test | 200 | 200 | 0 | 0 | |
| | `aokvqa` | train | 11999 | 11999 | 0 | 0 | |
| | `aokvqa` | validation | 518 | 518 | 0 | 0 | |
| | `eurosat` | test | 200 | 200 | 198 | 0 | |
| | `eurosat` | train | 9000 | 9000 | 8992 | 0 | |
| | `eurosat` | validation | 450 | 450 | 432 | 0 | |
| | `pets` | test | 200 | 200 | 124 | 0 | |
| | `pets` | train | 3500 | 3500 | 2274 | 0 | |
| | `pets` | validation | 175 | 175 | 130 | 0 | |
| | `fairface_age` | test | 200 | 0 | 0 | 200 | |
| | `fairface_age` | train | 7500 | 0 | 0 | 7500 | |
| | `fairface_age` | validation | 375 | 0 | 0 | 375 | |
| | `chartnet` | test | 200 | 200 | 182 | 0 | |
| | `chartnet` | train | 9000 | 9000 | 8990 | 0 | |
| | `chartnet` | validation | 450 | 450 | 444 | 0 | |
| | `documents` | test | 200 | 200 | 188 | 0 | |
| | `documents` | train | 10225 | 10225 | 10056 | 0 | |
| | `documents` | validation | 575 | 575 | 570 | 0 | |
| | `pong` | test | 158 | 158 | 0 | 0 | |
| | `pong` | train | 1500 | 1500 | 0 | 0 | |
| | `pong` | validation | 64 | 64 | 0 | 0 | |
| | `breakout` | test | 200 | 200 | 0 | 0 | |
| | `breakout` | train | 1500 | 1500 | 0 | 0 | |
| | `breakout` | validation | 46 | 46 | 0 | 0 | |
| | `freeway` | test | 188 | 188 | 0 | 0 | |
| | `freeway` | train | 1500 | 1500 | 0 | 0 | |
| | `freeway` | validation | 72 | 72 | 0 | 0 | |
| | `spaceinvaders` | test | 200 | 200 | 0 | 0 | |
| | `spaceinvaders` | train | 1500 | 1500 | 0 | 0 | |
| | `spaceinvaders` | validation | 55 | 55 | 0 | 0 | |
| | `mspacman` | test | 179 | 179 | 0 | 0 | |
| | `mspacman` | train | 1500 | 1500 | 0 | 0 | |
| | `mspacman` | validation | 69 | 69 | 0 | 0 | |
| | `pusht` | test | 200 | 200 | 0 | 185 | |
| | `pusht` | train | 6000 | 6000 | 0 | 5462 | |
| | `pusht` | validation | 300 | 300 | 0 | 277 | |
| | `text` | test | 200 | 133 | 67 | 0 | |
| | `text` | train | 7998 | 5332 | 2666 | 0 | |
| | `text` | validation | 400 | 262 | 138 | 0 | |
| | `blank` | test | 200 | 200 | 0 | 0 | |
| | `blank` | train | 4500 | 4500 | 0 | 0 | |
| | `blank` | validation | 225 | 225 | 0 | 0 | |
| | `pope` | test_ood | 486 | 0 | 486 | 0 | |
| | `scienceqa` | test | 139 | 139 | 0 | 0 | |
| | `scienceqa` | train | 6000 | 6000 | 0 | 0 | |
| | `scienceqa` | validation | 197 | 197 | 0 | 0 | |
| | `rvl_cdip` | test | 180 | 180 | 0 | 0 | |
| | `rvl_cdip` | train | 4000 | 4000 | 0 | 0 | |
| | `rvl_cdip` | validation | 180 | 180 | 0 | 0 | |
| | `ava` | test | 200 | 0 | 0 | 200 | |
| | `ava` | train | 6000 | 0 | 0 | 6000 | |
| | `ava` | validation | 300 | 0 | 0 | 300 | |
| | `text_full` | test | 200 | 64 | 197 | 136 | |
| | `text_full` | train | 4998 | 1666 | 4998 | 3332 | |
| | `text_full` | validation | 250 | 79 | 247 | 171 | |
| | `countbench` | test_ood | 491 | 0 | 0 | 491 | |
| | `ai2d` | test_ood | 500 | 500 | 0 | 0 | |
|
|
| ## Balance audit (train split) |
|
|
| `majority` is the accuracy of always giving the most frequent answer, i.e. what a model that ignores the image would |
| score; `copy prev` is the accuracy of repeating the previous action (control records that show it). Train images |
| shared with validation/test: none. |
|
|
| | question | n | classes | majority | yes rate | copy prev | answer is option 1 | |
| |---|---|---|---|---|---|---| |
| | `agnews` | 1666 | 4 | 0.256 | | | 0.238 | |
| | `agnews_yn` | 3332 | 2 | 0.755 | 0.245 | | | |
| | `aokvqa` | 11999 | 4 | 0.253 | | | 0.254 | |
| | `ava` | 6000 | 9 | 0.563 | | | | |
| | `banking77` | 2666 | 77 | 0.022 | | | 0.013 | |
| | `blank` | 4500 | 10 | 0.105 | | | 0.232 | |
| | `boolq` | 2666 | 2 | 0.613 | 0.613 | | | |
| | `breakout_action` | 1500 | 4 | 0.359 | | 0.476 | 0.275 | |
| | `chartnet_type` | 9000 | 20 | 0.092 | | | 0.207 | |
| | `chartnet_yn` | 8990 | 2 | 0.5 | 0.5 | | | |
| | `documents_type` | 10225 | 8 | 0.147 | | | 0.197 | |
| | `documents_yn` | 10056 | 2 | 0.5 | 0.5 | | | |
| | `eurosat` | 9000 | 10 | 0.116 | | | 0.203 | |
| | `eurosat_yn` | 8992 | 2 | 0.5 | 0.5 | | | |
| | `fairface_age` | 7500 | 9 | 0.3 | | | | |
| | `freeway_action` | 1500 | 3 | 0.629 | | 0.689 | 0.342 | |
| | `mnli` | 2666 | 3 | 0.344 | | | 0.336 | |
| | `mspacman_action` | 1500 | 9 | 0.15 | | 0.571 | 0.095 | |
| | `pets_breed` | 3500 | 37 | 0.028 | | | 0.199 | |
| | `pets_dog` | 2274 | 2 | 0.5 | 0.5 | | | |
| | `pong_action` | 1500 | 3 | 0.443 | | 0.473 | 0.334 | |
| | `pusht_direction` | 6000 | 9 | 0.127 | | 0.745 | 0.11 | |
| | `pusht_step` | 5462 | 3 | 0.415 | | | | |
| | `rvl_cdip` | 4000 | 16 | 0.089 | | | 0.165 | |
| | `scienceqa` | 6000 | 5 | 0.362 | | | 0.367 | |
| | `spaceinvaders_action` | 1500 | 6 | 0.199 | | 0.583 | 0.171 | |
| | `sst5` | 1666 | 5 | 0.269 | | | | |
| | `vqav2_count` | 9802 | 6 | 0.289 | | | | |
| | `vqav2_yn` | 40749 | 2 | 0.5 | 0.5 | | | |
| | `yelp` | 1666 | 5 | 0.207 | | | | |
| | `yelp_yn` | 1666 | 2 | 0.613 | 0.387 | | | |
|
|
| ## Licences |
|
|
| This dataset is a derivative of the sources above; each record keeps its source's licence in the `license` column and you |
| must follow it. COCO photos (VQAv2, A-OKVQA, POPE) remain under their original Flickr licences. |
|
|
