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Datasets:
neoneye
/
simon-arc-combine-v21

Tasks:
Image-to-Text
Text-to-Image
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
 Community
simon-arc-combine-v21
File size: 2,814 Bytes
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---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) combined datasets version 21
size_categories:
- 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.jsonl
---

# Version 1

A combination of multiple datasets.

Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.

# Version 2

Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.

# Version 3

Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.

# Version 4

Added a shared dataset name for all these datasets: `SIMON-SOLVE-V1`. There may be higher version numbers in the future.
My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data.

Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.

# Version 5

Different random seed.

# Version 6

Using `SIMON-SOLVE-V1` everywhere. Remove the `SIMON-SOLVE-COLOR`, `SIMON-SOLVE-ROTATE`, `SIMON-SOLVE-TRANSLATE`.

# Version 7

Using `SIMON-SOLVE-V1` everywhere.

# Version 8

Same settings. Different seed as usual.

# Version 9

Switching from context length 256 to context length 512.

Increasing the image sizes so the prompt length stays below 512.

`dataset_solve_color`, image size: 1-13.

`dataset_solve_rotate`, image size: 1-9.

`dataset_solve_translate`, image size: 3-9.

# Version 10

Same settings. Different seed as usual.

# Version 11

Same settings. Different seed as usual.

# Version 12

Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples.

# Version 13

Same settings. Different seed as usual.

# Version 14

Same settings. Different seed as usual.

# Version 15

Same settings. Different seed as usual.

# Version 16

Added `Predict the output image.`

Disabled prediction of rows.

Disabled prediction of height.

# Verison 17

Same settings. Different seed as usual.

Using the `DatasetGenerator` and the `DatasetItemListBuilder`.

# Verison 18

Added datasets.

Datasets: 
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl` - added.
- `dataset_shape.jsonl` - added.

# Verison 19

Added dataset.

Datasets: 
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_image.jsonl` - added.

# Verison 20

Bigger images.

# Verison 21

Added dataset. Disabled some datasets.

Datasets: 
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_mass.jsonl` - added.