Datasets:
File size: 1,567 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 9
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.
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