Datasets:

hmnshudhmn24
/

minecraft-mobs-yolo-dataset

Error code:   DatasetGenerationError
Exception:    IndexError
Message:      list index out of range
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  original_shard_lengths[original_shard_id] += len(table)
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
              IndexError: list index out of range
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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End of preview.

🎮 Minecraft Mobs YOLO Dataset

2,585+ pre-split images with YOLO bounding box annotations for Minecraft mob detection across 5 macro-classes.

🧭 Overview

This dataset contains 2,585 images of Minecraft mobs annotated with bounding boxes in YOLO format. Pre-split into Train (80%) and Validation (20%) sets — ready to plug into any Ultralytics YOLO pipeline.

🧟 Classes (5 Macro-Classes)

ID	Class	Instances	Includes
0	creeper	594	Standard Creeper
1	skeleton	959	Standard Skeleton, Wither Skeleton, Bogged, Stray
2	spider	491	Standard Spider, Cave Spider
3	zombie	1,115	Standard Zombie, Drowned, Husk
4	enderman	177	Standard Enderman

📊 Dataset Details

Property	Value
Total Images	2,585
Train Split	80%
Validation Split	20%
Background Images	~625 (24%)
Format	YOLO (Ultralytics)
Total Files	5,187

Background images with zero bounding boxes are included for hard negative mining to reduce false positives.

🗂️ Dataset Structure

minecraft_mobs_yolo/ ├── train/ │ ├── images/ # Training images │ └── labels/ # YOLO annotation .txt files ├── val/ │ ├── images/ # Validation images │ └── labels/ # YOLO annotation .txt files ├── data.yaml # YOLO config file ├── README.md └── LICENSE

⚙️ data.yaml

nc: 5 names: ["creeper", "skeleton", "spider", "zombie", "enderman"] train: train/images val: val/images

⚡ Quick Start

from ultralytics import YOLO

model = YOLO("yolov8n.pt")

model.train( data="minecraft_mobs_yolo/data.yaml", epochs=50, imgsz=640, batch=16, name="minecraft_mobs_detector" )

results = model.val() print(results)

💡 Use Cases

Minecraft mob detection and tracking
YOLO model training and fine-tuning
Object detection with hard negative mining
Gaming AI research
Real-time mob radar systems
Computer vision project demonstrations

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Total file size:

844 MB