Datasets:

webxos
/

arachnid_RL

Tasks:

Reinforcement Learning

Tabular Classification

Tabular to Text

Modalities:

Formats:

Languages:

Size:

Tags:

human-demonstrations

Libraries:

License:

Dataset card Data Studio Files Files and versions

webxos commited on 15 days ago

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@@ -77,10 +77,8 @@ on human-like decision-making in a dynamic but low-dimensional environment.
 ### Dataset Structure
-The main dataset is in `data/train.jsonl` in JSON Lines format.
-Format — 1.83 MB, stored primarily as a JSON Lines file (train.jsonl), with an auto-converted Parquet version for
-efficient loading.
 Each entry represents a single transition, including timestamp, session/player ID, event type (e.g., shoot, move, game_start, destroy_alien), action
 taken (e.g., left, right, shoot), reward (e.g., +15 for collecting diamonds), done flag, current state (as JSON with position, velocity, score, lives, nearby

 ### Dataset Structure
+The main dataset is in `data/train.jsonl` in JSON Lines format. 1.83 MB, stored primarily as a JSON Lines file (train.jsonl),
+with an auto-converted Parquet version for efficient loading.
 Each entry represents a single transition, including timestamp, session/player ID, event type (e.g., shoot, move, game_start, destroy_alien), action
 taken (e.g., left, right, shoot), reward (e.g., +15 for collecting diamonds), done flag, current state (as JSON with position, velocity, score, lives, nearby