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LICENSE

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+MIT License
+
+Copyright (c) 2026 WebXOS Research
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+language:
+- en
+task_categories:
+- reinforcement-learning
+tags:
+- human-demonstrations
+- atari-like
+- browser-game
+- rl-dataset
+license: mit
+pretty_name: ARACHNID RL Dataset
+size_categories:
+- n<1K
+config_name: default
+---
+
+# ARACHNID RL Dataset
+
+## Dataset Description
+
+This dataset contains reinforcement learning transitions collected from human gameplay of ARACHNID RL, a 2D Atari-inspired space shooter.
+
+### Game Description
+Players control a spider-like ship to destroy asteroids and aliens while collecting diamonds.
+
+### Dataset Structure
+The main dataset is in `data/train.jsonl` in JSON Lines format.
+
+### Data Format
+Each line in `data/train.jsonl` is a JSON object with:
+- `state`: Game state (JSON string containing position, velocity, lives, score, nearby objects)
+- `action`: Player action (left, right, up, down, shoot, boost, none)
+- `reward`: Immediate reward
+- `next_state`: Next game state (JSON string)
+- `done`: Episode termination flag
+- `event_type`: Type of event
+- `event_details`: Additional metadata (JSON string)
+
+### Usage
+```python
+from datasets import load_dataset
+import json
+
+# Load the dataset
+dataset = load_dataset('json', data_files={'train': 'data/train.jsonl'})
+
+# Parse state strings to dictionaries
+def parse_state(example):
+    example['state'] = json.loads(example['state'])
+    example['next_state'] = json.loads(example['next_state'])
+    if example['event_details']:
+        example['event_details'] = json.loads(example['event_details'])
+    return example
+
+dataset = dataset.map(parse_state)
+
+# Access data
+print(f"Number of samples: {len(dataset['train'])}")
+print(dataset['train'][0])
+```
+
+### Citation
+```bibtex
+@misc{arachnid_rl_2026,
+  title = {ARACHNID RL Dataset},
+  author = {WebXOS Research},
+  year = {2026}
+}
+```
+
+### License
+MIT License
+
+© 2026 WebXOS Research

dataset_infos.json

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+{
+  "default": {
+    "description": "ARACHNID RL Dataset - Human gameplay demonstrations for reinforcement learning",
+    "citation": "@misc{arachnid_rl_2026, title = {ARACHNID RL Dataset}, author = {WebXOS Research}, year = {2026}}",
+    "homepage": "",
+    "license": "mit",
+    "features": {
+      "timestamp": {
+        "dtype": "int64",
+        "_type": "Value"
+      },
+      "session_id": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "player_id": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "event_type": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "action": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "reward": {
+        "dtype": "float64",
+        "_type": "Value"
+      },
+      "done": {
+        "dtype": "bool",
+        "_type": "Value"
+      },
+      "state": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "next_state": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "event_details": {
+        "dtype": "string",
+        "_type": "Value"
+      }
+    },
+    "splits": {
+      "train": {
+        "name": "train",
+        "num_bytes": 1829758,
+        "num_examples": 2831
+      }
+    },
+    "download_size": 1829758,
+    "dataset_size": 1829758,
+    "config_name": "default"
+  }
+}

metadata.json

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+{
+  "game": "ARACHNID_RL",
+  "version": "1.0.0",
+  "framework": "KeenTech_Inspired",
+  "timestamp": "2026-01-08T21:09:46.421Z",
+  "session_id": "session_1767906586421",
+  "player_id": "anonymous_5100",
+  "session_start": "2026-01-08T21:09:49.692Z",
+  "session_duration": 331,
+  "final_score": 3503,
+  "samples_collected": 2831
+}