system stringclasses 1
value | problem stringclasses 1
value | answers stringlengths 605 1.32k | game_name stringclasses 7
values | images images listlengths 3 3 | current_image imagewidth (px) 160 160 | action_index int64 0 17 | action stringclasses 18
values | reward listlengths 1 1 | episode_reward float64 -596 12 | episode_id int64 0 14 | step_id int64 1 2.54k | done bool 2
classes | eps float64 0 0 | current_state unknown | prev_state unknown | prev_str_action stringclasses 18
values | prev_int_action int64 0 17 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
You are a general-purpose game agent focused on scene understanding, key object recognition, and intelligent action decision-making based on continuous game frames. Please analyze and reason based on the following dimensions:
**Scene Analysis**: First, Extract dynamic information from the current frame and several pre... |
You are given a sequence of consecutive video game frames (observations).
Your task is to analyze the visual scene and reason about the game's dynamics to infer the most appropriate next action.
- Provide your reasoning based Scene Analysis and Game Reasoning dimensions, inside `<think>...</think>` tags.
- Then, out... | <think>Let me go with understanding the current state. I see
a player at (28, 129, 36, 166).
a ball at (25, 149, 29, 159).
a target at (133, 119, 135, 123).
a target at (129, 125, 131, 129).
a target at (125, 131, 127, 135).
a target at (133, 131, 135, 135).
a target at (121, 137, 123, 141).
a target at (129, 137, 131,... | BowlingNoFrameskip-v4 | 3 | DOWN | [
0
] | 7 | 2 | 503 | false | 0.001 | [
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4,
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116,
101,
148,
147,
148,
41,
129,
148,
66,
103,
56,
0,
0,
247,
60... | DOWN | 3 | ||
You are a general-purpose game agent focused on scene understanding, key object recognition, and intelligent action decision-making based on continuous game frames. Please analyze and reason based on the following dimensions:
**Scene Analysis**: First, Extract dynamic information from the current frame and several pre... |
You are given a sequence of consecutive video game frames (observations).
Your task is to analyze the visual scene and reason about the game's dynamics to infer the most appropriate next action.
- Provide your reasoning based Scene Analysis and Game Reasoning dimensions, inside `<think>...</think>` tags.
- Then, out... | <think>Let me go with understanding the current state. I see
a player at (32, 129, 40, 166).
a ball at (39, 153, 43, 163).
a target at (133, 119, 135, 123).
a target at (129, 125, 131, 129).
a target at (125, 131, 127, 135).
a target at (133, 131, 135, 135).
a target at (121, 137, 123, 141).
a target at (129, 137, 131,... | BowlingNoFrameskip-v4 | 3 | DOWN | [
0
] | 7 | 2 | 504 | false | 0.001 | [
128,
4,
149,
146,
56,
0,
0,
0,
0,
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69,
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116,
101,
148,
147,
148,
41,
129,
148,
66,
103,
56,
0,
0,
247,
60... | DOWN | 3 | ||
You are a general-purpose game agent focused on scene understanding, key object recognition, and intelligent action decision-making based on continuous game frames. Please analyze and reason based on the following dimensions:
**Scene Analysis**: First, Extract dynamic information from the current frame and several pre... |
You are given a sequence of consecutive video game frames (observations).
Your task is to analyze the visual scene and reason about the game's dynamics to infer the most appropriate next action.
- Provide your reasoning based Scene Analysis and Game Reasoning dimensions, inside `<think>...</think>` tags.
- Then, out... | <think>Let me go with understanding the current state. I see
a player at (32, 129, 40, 166).
a ball at (39, 153, 43, 163).
a target at (133, 119, 135, 123).
a target at (129, 125, 131, 129).
a target at (125, 131, 127, 135).
a target at (133, 131, 135, 135).
a target at (121, 137, 123, 141).
a target at (129, 137, 131,... | BowlingNoFrameskip-v4 | 2 | UP | [
0
] | 7 | 2 | 505 | false | 0.001 | [
128,
4,
149,
146,
56,
0,
0,
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66,
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60... | [
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147,
148,
41,
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148,
66,
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0,
247,
60... | DOWN | 3 | ||
You are a general-purpose game agent focused on scene understanding, key object recognition, and intelligent action decision-making based on continuous game frames. Please analyze and reason based on the following dimensions:
**Scene Analysis**: First, Extract dynamic information from the current frame and several pre... |
You are given a sequence of consecutive video game frames (observations).
Your task is to analyze the visual scene and reason about the game's dynamics to infer the most appropriate next action.
- Provide your reasoning based Scene Analysis and Game Reasoning dimensions, inside `<think>...</think>` tags.
- Then, out... | <think>Let me go with understanding the current state. I see
a player at (32, 129, 40, 166).
a ball at (47, 149, 51, 159).
a target at (133, 119, 135, 123).
a target at (129, 125, 131, 129).
a target at (125, 131, 127, 135).
a target at (133, 131, 135, 135).
a target at (121, 137, 123, 141).
a target at (129, 137, 131,... | BowlingNoFrameskip-v4 | 0 | NOOP | [
0
] | 7 | 2 | 506 | false | 0.001 | [
128,
4,
149,
146,
56,
0,
0,
0,
0,
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60... | [
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60... | UP | 2 | ||
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0
] | 7 | 2 | 507 | false | 0.001 | "gASVhTgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWjgAAPc8BgD3PAYAuh8AALofAAAAAAAAAAAAADY(...TRUNCATED) | "gASVkjgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCZzgAAPc8BgD3PAYAqh8AAKofAAAAAAAAAAAAAEM(...TRUNCATED) | NOOP | 0 | |
"You are a general-purpose game agent focused on scene understanding, key object recognition, and in(...TRUNCATED) | "\nYou are given a sequence of consecutive video game frames (observations).\n\nYour task is to anal(...TRUNCATED) | "<think>Let me go with understanding the current state. I see\na player at (32, 129, 40, 166).\na ba(...TRUNCATED) | BowlingNoFrameskip-v4 | [{"src":"https://datasets-server.huggingface.co/assets/StevenKaseiyo/sports_train_100/--/{dataset_gi(...TRUNCATED) | 3 | DOWN | [
0
] | 7 | 2 | 508 | false | 0.001 | "gASVhTgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWjgAAPc8BgD3PAYAyh8AAMofAAAAAAAAAAAAADY(...TRUNCATED) | "gASVhTgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWjgAAPc8BgD3PAYAuh8AALofAAAAAAAAAAAAADY(...TRUNCATED) | NOOP | 0 | |
"You are a general-purpose game agent focused on scene understanding, key object recognition, and in(...TRUNCATED) | "\nYou are given a sequence of consecutive video game frames (observations).\n\nYour task is to anal(...TRUNCATED) | "<think>Let me go with understanding the current state. I see\na player at (32, 129, 40, 166).\na ba(...TRUNCATED) | BowlingNoFrameskip-v4 | [{"src":"https://datasets-server.huggingface.co/assets/StevenKaseiyo/sports_train_100/--/{dataset_gi(...TRUNCATED) | 3 | DOWN | [
0
] | 7 | 2 | 509 | false | 0.001 | "gASVhTgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWjgAAPc8BgD3PAYA2h8AANofAAAAAAAAAAAAADY(...TRUNCATED) | "gASVhTgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWjgAAPc8BgD3PAYAyh8AAMofAAAAAAAAAAAAADY(...TRUNCATED) | DOWN | 3 | |
"You are a general-purpose game agent focused on scene understanding, key object recognition, and in(...TRUNCATED) | "\nYou are given a sequence of consecutive video game frames (observations).\n\nYour task is to anal(...TRUNCATED) | "<think>Let me go with understanding the current state. I see\na player at (32, 129, 40, 166).\na ba(...TRUNCATED) | BowlingNoFrameskip-v4 | [{"src":"https://datasets-server.huggingface.co/assets/StevenKaseiyo/sports_train_100/--/{dataset_gi(...TRUNCATED) | 2 | UP | [
0
] | 7 | 2 | 510 | false | 0.001 | "gASVhjgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWzgAAPc8BgD3PAYA6h8AAOofAAAAAAAAAAAAADc(...TRUNCATED) | "gASVhTgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWjgAAPc8BgD3PAYA2h8AANofAAAAAAAAAAAAADY(...TRUNCATED) | DOWN | 3 | |
"You are a general-purpose game agent focused on scene understanding, key object recognition, and in(...TRUNCATED) | "\nYou are given a sequence of consecutive video game frames (observations).\n\nYour task is to anal(...TRUNCATED) | "<think>Let me go with understanding the current state. I see\na player at (32, 129, 40, 166).\na ba(...TRUNCATED) | BowlingNoFrameskip-v4 | [{"src":"https://datasets-server.huggingface.co/assets/StevenKaseiyo/sports_train_100/--/{dataset_gi(...TRUNCATED) | 3 | DOWN | [
0
] | 7 | 2 | 511 | false | 0.001 | "gASVhjgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWzgAAPc8BgD3PAYA+h8AAPofAAAAAAAAAAAAADc(...TRUNCATED) | "gASVhjgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWzgAAPc8BgD3PAYA6h8AAOofAAAAAAAAAAAAADc(...TRUNCATED) | UP | 2 | |
"You are a general-purpose game agent focused on scene understanding, key object recognition, and in(...TRUNCATED) | "\nYou are given a sequence of consecutive video game frames (observations).\n\nYour task is to anal(...TRUNCATED) | "<think>Let me go with understanding the current state. I see\na player at (32, 129, 40, 166).\na ba(...TRUNCATED) | BowlingNoFrameskip-v4 | [{"src":"https://datasets-server.huggingface.co/assets/StevenKaseiyo/sports_train_100/--/{dataset_gi(...TRUNCATED) | 3 | DOWN | [
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] | 7 | 2 | 512 | false | 0.001 | "gASVhjgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWzgAAPc8BgD3PAYACiAAAAogAAAAAAAAAAAAADc(...TRUNCATED) | "gASVhjgAAAAAAACMDmFsZV9weS5fYWxlX3B5lIwIQUxFU3RhdGWUk5QpgZRCWzgAAPc8BgD3PAYA+h8AAPofAAAAAAAAAAAAADc(...TRUNCATED) | DOWN | 3 |
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