Dataset Viewer
Auto-converted to Parquet Duplicate
game_id
stringclasses
1 value
env_id
stringclasses
1 value
model
stringclasses
1 value
opponent_model
null
player_id
int64
0
0
reward
float64
0.1
1
num_turns
int64
1
12
transcript
stringclasses
10 values
error
null
system_prompt
stringclasses
1 value
wingdings_compliance
float64
0.64
0.98
FrozenLake-v0_ep000
FrozenLake-v0
together_ai/moonshotai/Kimi-K2-Instruct-0905
null
0
0.5
1
[{"turn": 0, "player_id": 0, "observation": "\n[GAME] Welcome to Frozen Lake!\n\nYou are represented by 'P' on the grid.\nGrid symbols:\n ' ' = Frozen surface (safe to walk on)\n 'H' = Hole (fall in and lose!)\n 'G' = Goal (reach this to win!)\n 'P' = Your current position\n\nAvailable actions: up, down, left, righ...
null
You are a game-playing agent. You must decide your next move at each turn. HERE IS YOUR CONSTRAINT: You must express ALL of your intermediate reasoning β€” your spatial analysis, planning, and decision-making β€” using ONLY symbolic characters. Use arrows (β†’ ← ↑ ↓ ↔ β‡’ ⇐), checkmarks and crosses (βœ“ βœ—), boxes (β–‘ β– ), circles...
0.928571
FrozenLake-v0_ep000
FrozenLake-v0
together_ai/moonshotai/Kimi-K2-Instruct-0905
null
0
0.125
1
[{"turn": 0, "player_id": 0, "observation": "\n[GAME] Welcome to Frozen Lake!\n\nYou are represented by 'P' on the grid.\nGrid symbols:\n ' ' = Frozen surface (safe to walk on)\n 'H' = Hole (fall in and lose!)\n 'G' = Goal (reach this to win!)\n 'P' = Your current position\n\nAvailable actions: up, down, left, righ...
null
You are a game-playing agent. You must decide your next move at each turn. HERE IS YOUR CONSTRAINT: You must express ALL of your intermediate reasoning β€” your spatial analysis, planning, and decision-making β€” using ONLY symbolic characters. Use arrows (β†’ ← ↑ ↓ ↔ β‡’ ⇐), checkmarks and crosses (βœ“ βœ—), boxes (β–‘ β– ), circles...
0.970588
FrozenLake-v0_ep000
FrozenLake-v0
together_ai/moonshotai/Kimi-K2-Instruct-0905
null
0
0.1
1
[{"turn": 0, "player_id": 0, "observation": "\n[GAME] Welcome to Frozen Lake!\n\nYou are represented by 'P' on the grid.\nGrid symbols:\n ' ' = Frozen surface (safe to walk on)\n 'H' = Hole (fall in and lose!)\n 'G' = Goal (reach this to win!)\n 'P' = Your current position\n\nAvailable actions: up, down, left, righ...
null
You are a game-playing agent. You must decide your next move at each turn. HERE IS YOUR CONSTRAINT: You must express ALL of your intermediate reasoning β€” your spatial analysis, planning, and decision-making β€” using ONLY symbolic characters. Use arrows (β†’ ← ↑ ↓ ↔ β‡’ ⇐), checkmarks and crosses (βœ“ βœ—), boxes (β–‘ β– ), circles...
0.89
FrozenLake-v0_ep000
FrozenLake-v0
together_ai/moonshotai/Kimi-K2-Instruct-0905
null
0
1
2
[{"turn": 0, "player_id": 0, "observation": "\n[GAME] Welcome to Frozen Lake!\n\nYou are represented by 'P' on the grid.\nGrid symbols:\n ' ' = Frozen surface (safe to walk on)\n 'H' = Hole (fall in and lose!)\n 'G' = Goal (reach this to win!)\n 'P' = Your current position\n\nAvailable actions: up, down, left, righ...
null
You are a game-playing agent. You must decide your next move at each turn. HERE IS YOUR CONSTRAINT: You must express ALL of your intermediate reasoning β€” your spatial analysis, planning, and decision-making β€” using ONLY symbolic characters. Use arrows (β†’ ← ↑ ↓ ↔ β‡’ ⇐), checkmarks and crosses (βœ“ βœ—), boxes (β–‘ β– ), circles...
0.842982
FrozenLake-v0_ep000
FrozenLake-v0
together_ai/moonshotai/Kimi-K2-Instruct-0905
null
0
1
2
[{"turn": 0, "player_id": 0, "observation": "\n[GAME] Welcome to Frozen Lake!\n\nYou are represented by 'P' on the grid.\nGrid symbols:\n ' ' = Frozen surface (safe to walk on)\n 'H' = Hole (fall in and lose!)\n 'G' = Goal (reach this to win!)\n 'P' = Your current position\n\nAvailable actions: up, down, left, righ...
null
You are a game-playing agent. You must decide your next move at each turn. HERE IS YOUR CONSTRAINT: You must express ALL of your intermediate reasoning β€” your spatial analysis, planning, and decision-making β€” using ONLY symbolic characters. Use arrows (β†’ ← ↑ ↓ ↔ β‡’ ⇐), checkmarks and crosses (βœ“ βœ—), boxes (β–‘ β– ), circles...
0.889855
FrozenLake-v0_ep000
FrozenLake-v0
together_ai/moonshotai/Kimi-K2-Instruct-0905
null
0
0.2
3
[{"turn": 0, "player_id": 0, "observation": "\n[GAME] Welcome to Frozen Lake!\n\nYou are represented by 'P' on the grid.\nGrid symbols:\n ' ' = Frozen surface (safe to walk on)\n 'H' = Hole (fall in and lose!)\n 'G' = Goal (reach this to win!)\n 'P' = Your current position\n\nAvailable actions: up, down, left, righ...
null
You are a game-playing agent. You must decide your next move at each turn. HERE IS YOUR CONSTRAINT: You must express ALL of your intermediate reasoning β€” your spatial analysis, planning, and decision-making β€” using ONLY symbolic characters. Use arrows (β†’ ← ↑ ↓ ↔ β‡’ ⇐), checkmarks and crosses (βœ“ βœ—), boxes (β–‘ β– ), circles...
0.92323
FrozenLake-v0_ep000
FrozenLake-v0
together_ai/moonshotai/Kimi-K2-Instruct-0905
null
0
1
4
[{"turn": 0, "player_id": 0, "observation": "\n[GAME] Welcome to Frozen Lake!\n\nYou are represented by 'P' on the grid.\nGrid symbols:\n ' ' = Frozen surface (safe to walk on)\n 'H' = Hole (fall in and lose!)\n 'G' = Goal (reach this to win!)\n 'P' = Your current position\n\nAvailable actions: up, down, left, righ...
null
You are a game-playing agent. You must decide your next move at each turn. HERE IS YOUR CONSTRAINT: You must express ALL of your intermediate reasoning β€” your spatial analysis, planning, and decision-making β€” using ONLY symbolic characters. Use arrows (β†’ ← ↑ ↓ ↔ β‡’ ⇐), checkmarks and crosses (βœ“ βœ—), boxes (β–‘ β– ), circles...
0.782903
FrozenLake-v0_ep000
FrozenLake-v0
together_ai/moonshotai/Kimi-K2-Instruct-0905
null
0
1
5
[{"turn": 0, "player_id": 0, "observation": "\n[GAME] Welcome to Frozen Lake!\n\nYou are represented by 'P' on the grid.\nGrid symbols:\n ' ' = Frozen surface (safe to walk on)\n 'H' = Hole (fall in and lose!)\n 'G' = Goal (reach this to win!)\n 'P' = Your current position\n\nAvailable actions: up, down, left, righ...
null
You are a game-playing agent. You must decide your next move at each turn. HERE IS YOUR CONSTRAINT: You must express ALL of your intermediate reasoning β€” your spatial analysis, planning, and decision-making β€” using ONLY symbolic characters. Use arrows (β†’ ← ↑ ↓ ↔ β‡’ ⇐), checkmarks and crosses (βœ“ βœ—), boxes (β–‘ β– ), circles...
0.802324
FrozenLake-v0_ep000
FrozenLake-v0
together_ai/moonshotai/Kimi-K2-Instruct-0905
null
0
1
7
[{"turn": 0, "player_id": 0, "observation": "\n[GAME] Welcome to Frozen Lake!\n\nYou are represented by 'P' on the grid.\nGrid symbols:\n ' ' = Frozen surface (safe to walk on)\n 'H' = Hole (fall in and lose!)\n 'G' = Goal (reach this to win!)\n 'P' = Your current position\n\nAvailable actions: up, down, left, righ...
null
You are a game-playing agent. You must decide your next move at each turn. HERE IS YOUR CONSTRAINT: You must express ALL of your intermediate reasoning β€” your spatial analysis, planning, and decision-making β€” using ONLY symbolic characters. Use arrows (β†’ ← ↑ ↓ ↔ β‡’ ⇐), checkmarks and crosses (βœ“ βœ—), boxes (β–‘ β– ), circles...
0.642593
FrozenLake-v0_ep000
FrozenLake-v0
together_ai/moonshotai/Kimi-K2-Instruct-0905
null
0
1
12
"[{\"turn\": 0, \"player_id\": 0, \"observation\": \"\\n[GAME] Welcome to Frozen Lake!\\n\\nYou are (...TRUNCATED)
null
"You are a game-playing agent. You must decide your next move at each turn.\n\nHERE IS YOUR CONSTRAI(...TRUNCATED)
0.976588

t1-wingdings-arena-frozenlake-kimi-k2-instruct

Wingdings compliance evaluation on TextArena games.

Model must reason using only symbolic characters while playing interactive games. Compliance is measured on reasoning text only, not action commands.

Results

Metric Value
Win rate 10/10
Compliance (mean) 0.8650
Errors 0

Details

Parameter Value
Model together_ai/moonshotai/Kimi-K2-Instruct-0905
Thinking False
Games FrozenLake-v0, FrozenLake-v0, FrozenLake-v0, FrozenLake-v0, FrozenLake-v0, FrozenLake-v0, FrozenLake-v0, FrozenLake-v0, FrozenLake-v0, FrozenLake-v0

Usage

from datasets import load_dataset
ds = load_dataset("reasoning-degeneration-dev/t1-wingdings-arena-frozenlake-kimi-k2-instruct", split="train")
print(f"Mean compliance: {sum(ds['wingdings_compliance']) / len(ds):.4f}")

Tracked in reasoning-degeneration-dev/PROJECT-MANIFEST

Downloads last month
10