The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code: InfoError
Exception: DatasetNotFoundError
Message: Dataset 'huggingface/label-files' doesn't exist on the Hub
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 210, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 477, in get_dataset_config_info
builder = load_dataset_builder(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 2220, in load_dataset_builder
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1865, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1808, in dataset_module_factory
raise DatasetNotFoundError(msg + f" at revision '{revision}'" if revision else msg)
datasets.exceptions.DatasetNotFoundError: Dataset 'huggingface/label-files' doesn't exist on the HubNeed help to make the dataset viewer work? Open a discussion for direct support.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
This repository contains the mapping from integer id's to actual label names (in HuggingFace Transformers typically called id2label) for several datasets.
Current datasets include:
- ImageNet-1k
- ImageNet-22k (also called ImageNet-21k as there are 21,843 classes)
- COCO detection 2017
- COCO panoptic 2017
- ADE20k (actually, the MIT Scene Parsing benchmark, which is a subset of ADE20k)
- Cityscapes
- VQAv2
- Kinetics-700
- RVL-CDIP
- PASCAL VOC
- Kinetics-400
- ...
You can read in a label file as follows (using the huggingface_hub library):
from huggingface_hub import hf_hub_download
import json
repo_id = "huggingface/label-files"
filename = "imagenet-22k-id2label.json"
id2label = json.load(open(hf_hub_download(repo_id, filename, repo_type="dataset"), "r"))
id2label = {int(k):v for k,v in id2label.items()}
To add an id2label mapping for a new dataset, simply define a Python dictionary, and then save that dictionary as a JSON file, like so:
import json
# simple example
id2label = {0: 'cat', 1: 'dog'}
with open('cats-and-dogs-id2label.json', 'w') as fp:
json.dump(id2label, fp)
You can then upload it to this repository (assuming you have write access).
- Downloads last month
- 110