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Datasets:
DeeperGame
/
game-2048

Tasks:
Zero-Shot Classification
Languages:
English
Size:
100M<n<1B
License:
Dataset card Data Studio Files
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Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'\t2'}) and 1 missing columns ({'\t0.2'}).

This happened while the csv dataset builder was generating data using

zip://data/games_1570/20250626_131339.csv::/tmp/hf-datasets-cache/medium/datasets/61231070607114-config-parquet-and-info-DeeperGame-game-2048-7f1696aa/hub/datasets--DeeperGame--game-2048/snapshots/1831a512593b42dff20e16486e68648abf8805c5/data.zip

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              0: int64
              	0: int64
              	0.1: string
              	2: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 681
              to
              {'0': Value(dtype='int64', id=None), '\t0': Value(dtype='int64', id=None), '\t0.1': Value(dtype='string', id=None), '\t0.2': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1436, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'\t2'}) and 1 missing columns ({'\t0.2'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://data/games_1570/20250626_131339.csv::/tmp/hf-datasets-cache/medium/datasets/61231070607114-config-parquet-and-info-DeeperGame-game-2048-7f1696aa/hub/datasets--DeeperGame--game-2048/snapshots/1831a512593b42dff20e16486e68648abf8805c5/data.zip
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

0
int64
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int64
0.1
string
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string
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End of preview.

Game 2048 Dataset

Total board-move pairs:

25,153,774 (excluding 1570 game over boards without any moves)

Total games:

1,570

Github Repo https://github.com/yuanoook/2048AI

Games 1570

Why I created this dataset?

I want to build neural network to play game 2048, for me to learn basic AI. Found out that it takes forever to get the data I wanted.

It takes 7 mins to 1 hour to generate/play 1 game, with mac m1 chip by the algo provided by nneonneo/2048-ai . The 1570 games takes more than 1 week, with 2 m1 mackbook air, and 1 intel i5 macbook air.

Highest record - 3,766,860

the /records folder contains the highest score (3,766,860) I've ever seen on the internet.

Played by using UNDO when stuck and switching different strategies, and with mannual move.

Data Structure

Games 1570 Data Structure 

0,	0,	0,	0
0,	0,	0,	0
0,	2,	0,	0
0,	0,	4,	0
                        1,	0,	up,	↑

...

16,	64,	2048,	8192
4,	16,	512,	4096
0,	0,	4,	16
2,	2,	4,	2
                        6805,	165680,	right,	→

...

2,	4,	2,	4
8,	64,	16,	2
128,	512,	2048,	8192
256,	1024,	4096,	16384
                        14943,	387388,	_,	_

For each game, every 4 rows to show the board, following 1 row to show the index, score, move, arrow.

The last row is the end of the game, no move and no arrow, _ as placeholder.

I found it's the most understandable way for humans, probably not the most efficient for machine, which I don't care.

High Record Games Data Structure 

1, 	  0, 0, 0, 0,  0, 0, 0, 0,  0, 0, 2, 0,  0, 0, 0, 2, 	up, 	0

...

25508, 	  32, 32, 4, 2,  512, 256, 2, 0,  16384, 2048, 0, 0,  32768, 4096, 0, 2, 	up, 	733188

...

114499, 	  8, 2, 2, 2,  512, 256, 32, 4,  32768, 16384, 1024, 4,  131072, 65536, 4096, 16, 	down, 	3766860

High Record Games data is splited into files by 100 board-move pairs in each. Every row is index, board, move, score

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