Update README.md
Browse files
README.md
CHANGED
|
@@ -9,7 +9,7 @@ tags:
|
|
| 9 |
- ARC
|
| 10 |
- code
|
| 11 |
datasets:
|
| 12 |
-
-
|
| 13 |
- Open-Orca/SlimOrca
|
| 14 |
- camel-ai/math
|
| 15 |
- skeskinen/TinyStories-GPT4
|
|
@@ -73,5 +73,4 @@ There is a large amount of ARC-related tasks that are not solving for the board
|
|
| 73 |
- Model targets (`correct_answer` column and expected decoder output before post-processing) follow `output_prefix` semantics: ` {total_chars} {height} {width} {symbols} {row_strings}.` Here `total_chars = height*width + (height - 1)` and `symbols` is the deduplicated sequence of colors as they are first encountered when scanning the board row-major; that rule applies to every output grid we emit (training outputs inside the prompt and the predicted test toutput). Example target string for a 3×3 donut:
|
| 74 |
```text
|
| 75 |
11 3 3 10 111 101 111.
|
| 76 |
-
```
|
| 77 |
-
|
|
|
|
| 9 |
- ARC
|
| 10 |
- code
|
| 11 |
datasets:
|
| 12 |
+
- mindware/arc-mega
|
| 13 |
- Open-Orca/SlimOrca
|
| 14 |
- camel-ai/math
|
| 15 |
- skeskinen/TinyStories-GPT4
|
|
|
|
| 73 |
- Model targets (`correct_answer` column and expected decoder output before post-processing) follow `output_prefix` semantics: ` {total_chars} {height} {width} {symbols} {row_strings}.` Here `total_chars = height*width + (height - 1)` and `symbols` is the deduplicated sequence of colors as they are first encountered when scanning the board row-major; that rule applies to every output grid we emit (training outputs inside the prompt and the predicted test toutput). Example target string for a 3×3 donut:
|
| 74 |
```text
|
| 75 |
11 3 3 10 111 101 111.
|
| 76 |
+
```
|
|
|