datasetId
stringlengths 2
117
| author
stringlengths 2
42
⌀ | last_modified
timestamp[us, tz=UTC] | downloads
int64 0
9.36M
| likes
int64 0
3.89k
| tags
list | task_categories
list | createdAt
timestamp[us, tz=UTC] | card
stringlengths 19
1.01M
| embedding
list |
|---|---|---|---|---|---|---|---|---|---|
HamdanXI/arb-eng-parallel-10k-splitted-euclidean-100
|
HamdanXI
| 2023-11-24T04:01:59Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T04:01:55Z |
---
dataset_info:
features:
- name: arabic
dtype: string
- name: english
dtype: string
splits:
- name: train
num_bytes: 3054333
num_examples: 6636
- name: validation
num_bytes: 407437
num_examples: 1000
- name: test
num_bytes: 419389
num_examples: 1000
download_size: 2193837
dataset_size: 3881159
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
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] |
nguyenthanhdo/webglm_vi
|
nguyenthanhdo
| 2023-11-24T04:04:16Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T04:04:11Z |
---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: references
sequence: string
- name: translated
dtype: bool
splits:
- name: train
num_bytes: 154260166
num_examples: 43579
download_size: 77675307
dataset_size: 154260166
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "webglm_vi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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Yvan-W/WSABuild
|
Yvan-W
| 2023-11-24T04:39:11Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T04:39:11Z |
---
license: openrail
---
|
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] |
lauransotomayor/eco_composition
|
lauransotomayor
| 2023-11-24T05:07:40Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-24T04:56:04Z |
---
license: mit
---
Data sample for testing DL code
|
[
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] |
Beerth/marceloxz
|
Beerth
| 2023-11-24T05:00:59Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T05:00:33Z |
---
license: openrail
---
|
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] |
CS5647Team3/data_mini
|
CS5647Team3
| 2023-11-24T05:16:24Z | 0 | 0 |
[
"task_categories:token-classification",
"size_categories:100M<n<1B",
"language:zh",
"tone",
"pinyin",
"sentence",
"audio",
"region:us"
] |
[
"token-classification"
] | 2023-11-24T05:04:37Z |
---
task_categories:
- token-classification
language:
- zh
tags:
- tone
- pinyin
- sentence
- audio
size_categories:
- 100M<n<1B
---
## Dataset Details
- Welcome to the Single-Speaker Mandarin Audio Dataset! This dataset is a curated subset extracted from a larger collection, focusing on audio recordings of a single speaker. Each audio file is accompanied by valuable linguistic annotations, including Pinyin transcriptions, tone information, and onset and offset details.
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Speaker:** The dataset exclusively features recordings of a single Mandarin speaker, providing consistency for various linguistic analyses and applications.
- **Pinyin Transcriptions:** Each audio file comes with a corresponding Pinyin transcription, offering a phonetic representation of the spoken Mandarin.
- **Tone Information:** Tone annotations are included to capture the tonal characteristics of the spoken language. This feature is essential for tone-related studies and applications.
- **Onset and Offset Details:** Precise information about the onset and offset of each audio segment is provided. This allows for accurate segmentation and analysis of the spoken content.
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- Subset of the Original Kaggle Dataset
## Uses
- Use for model evaluation or demo
|
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] |
TheGreatP/MinhaVoz3
|
TheGreatP
| 2023-11-24T05:24:40Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T05:24:16Z |
---
license: openrail
---
|
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] |
CS5647Team3/full_dataset
|
CS5647Team3
| 2023-11-24T05:28:48Z | 0 | 0 |
[
"task_categories:text-classification",
"language:zh",
"tone",
"pinyin",
"region:us"
] |
[
"text-classification"
] | 2023-11-24T05:26:28Z |
---
task_categories:
- text-classification
language:
- zh
tags:
- tone
- pinyin
---
You can go to Kaggle to find the full amount of the dataset
Paddle Speech -> AISHELL-3 -> Train
https://www.kaggle.com/datasets/zenbot99/paddle-speech/
|
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] |
babaka/chicken_dataset
|
babaka
| 2023-11-24T05:28:53Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-24T05:28:53Z |
---
license: mit
---
|
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AppleHarem/mari_bluearchive
|
AppleHarem
| 2023-11-24T06:27:23Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-24T06:27:00Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of mari (Blue Archive)
This is the dataset of mari (Blue Archive), containing 150 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 150 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 409 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 475 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 150 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 150 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 150 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 409 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 409 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 324 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 475 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 475 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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TheGreatP/LeoMorachiolli
|
TheGreatP
| 2023-11-24T06:32:50Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T06:32:20Z |
---
license: openrail
---
|
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] |
agibot-zy/zy_dataset_jaka
|
agibot-zy
| 2023-11-24T07:03:17Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-24T07:03:17Z |
---
license: mit
---
|
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] |
Badrish/coding_dataset
|
Badrish
| 2023-11-24T07:12:11Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-24T07:12:11Z |
---
license: apache-2.0
---
|
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] |
mtkinit/mtkinit_small_sentiment_dataset
|
mtkinit
| 2023-11-24T07:28:15Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T07:28:14Z |
---
pretty_name: mtkinit/small_sentiment_dataset
---
# mtkinit/small_sentiment_dataset
Created from AIOD platform
|
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] |
nguyenthanhdo/dolphin-cqa-v1.0
|
nguyenthanhdo
| 2023-11-24T07:35:08Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T07:34:54Z |
---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: lang
dtype: string
splits:
- name: en
num_bytes: 187712666
num_examples: 79999
- name: vi
num_bytes: 248492204
num_examples: 79999
download_size: 233755470
dataset_size: 436204870
configs:
- config_name: default
data_files:
- split: en
path: data/en-*
- split: vi
path: data/vi-*
---
|
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] |
vishalsmb/guanaco-llama2-1k
|
vishalsmb
| 2023-11-24T07:48:37Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T07:48:32Z |
---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 1654448
num_examples: 1000
download_size: 966692
dataset_size: 1654448
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
HamdanXI/arb-eng-parallel-10k-splitted-euclidean-80
|
HamdanXI
| 2023-11-24T08:01:29Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T08:01:27Z |
---
dataset_info:
features:
- name: arabic
dtype: string
- name: english
dtype: string
splits:
- name: train
num_bytes: 339531
num_examples: 666
- name: validation
num_bytes: 407437
num_examples: 1000
- name: test
num_bytes: 419389
num_examples: 1000
download_size: 664054
dataset_size: 1166357
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
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mtkinit/mtkinit_tcb_small_sentiment_dataset
|
mtkinit
| 2023-11-24T08:09:57Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T08:09:56Z |
---
pretty_name: mtkinit/tcb_small_sentiment_dataset
---
# mtkinit/tcb_small_sentiment_dataset
Created from AIOD platform
|
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Chu0113/hekk
|
Chu0113
| 2023-11-29T06:55:47Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T08:13:28Z |
---
dataset_info:
- config_name: all
features:
- name: data_index_by_user
dtype: int32
- name: article
dtype: string
- name: answer
dtype: string
- name: question
dtype: string
- name: options
sequence: string
splits:
- name: train
num_bytes: 191129599
num_examples: 87866
- name: validation
num_bytes: 10507580
num_examples: 4887
- name: test
num_bytes: 10668488
num_examples: 4934
download_size: 46954865
dataset_size: 212305667
- config_name: middle
features:
- name: data_index_by_user
dtype: int32
- name: article
dtype: string
- name: answer
dtype: string
- name: question
dtype: string
- name: options
sequence: string
splits:
- name: train
num_bytes: 191129599
num_examples: 87866
- name: validation
num_bytes: 10507580
num_examples: 4887
- name: test
num_bytes: 10668488
num_examples: 4934
download_size: 46954865
dataset_size: 212305667
configs:
- config_name: all
data_files:
- split: train
path: all/train-*
- split: validation
path: all/validation-*
- split: test
path: all/test-*
- config_name: middle
data_files:
- split: train
path: middle/train-*
- split: validation
path: middle/validation-*
- split: test
path: middle/test-*
---
|
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figenfikri/stsb_tr
|
figenfikri
| 2023-11-24T08:28:16Z | 0 | 0 |
[
"task_categories:text-classification",
"task_ids:text-scoring",
"task_ids:semantic-similarity-scoring",
"annotations_creators:crowdsourced",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|other-sts-b",
"language:tr",
"region:us"
] |
[
"text-classification"
] | 2023-11-24T08:26:52Z |
---
annotations_creators:
- crowdsourced
language_creators:
- machine-generated
language:
- tr
multilinguality:
- monolingual
pretty_name: Semantic Textual Similarity in Turkish
size_categories:
- 1K<n<10K
source_datasets:
- extended|other-sts-b
task_categories:
- text-classification
task_ids:
- text-scoring
- semantic-similarity-scoring
---
## Dataset Description
Repository: https://github.com/verimsu/STSb-TR
### Dataset Summary
STSb-TR dataset is the machine translated version of English STS benchmark dataset using Google Cloud Translation API.
### Citation
```
@inproceedings{beken-fikri-etal-2021-semantic,
title = "Semantic Similarity Based Evaluation for Abstractive News Summarization",
author = "Beken Fikri, Figen and Oflazer, Kemal and Yanikoglu, Berrin",
booktitle = "Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.gem-1.3",
doi = "10.18653/v1/2021.gem-1.3",
pages = "24--33",
abstract = "ROUGE is a widely used evaluation metric in text summarization. However, it is not suitable for the evaluation of abstractive summarization systems as it relies on lexical overlap between the gold standard and the generated summaries. This limitation becomes more apparent for agglutinative languages with very large vocabularies and high type/token ratios. In this paper, we present semantic similarity models for Turkish and apply them as evaluation metrics for an abstractive summarization task. To achieve this, we translated the English STSb dataset into Turkish and presented the first semantic textual similarity dataset for Turkish as well. We showed that our best similarity models have better alignment with average human judgments compared to ROUGE in both Pearson and Spearman correlations.",
}
```
|
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] |
HamdanXI/arb-eng-parallel-10k-splitted-euclidean-95
|
HamdanXI
| 2023-11-24T08:41:25Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T08:41:23Z |
---
dataset_info:
features:
- name: arabic
dtype: string
- name: english
dtype: string
splits:
- name: train
num_bytes: 2506374
num_examples: 5227
- name: validation
num_bytes: 407437
num_examples: 1000
- name: test
num_bytes: 419389
num_examples: 1000
download_size: 1889682
dataset_size: 3333200
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
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] |
mtkinit/mtkinit_TCB_sentiment_dataset
|
mtkinit
| 2023-11-24T09:44:25Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T09:44:24Z |
---
pretty_name: mtkinit/TCB-sentiment-dataset
---
# mtkinit/TCB-sentiment-dataset
Created from AIOD platform
|
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] |
BarrenWardo/SDControlNets
|
BarrenWardo
| 2023-11-24T09:55:14Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-24T09:55:13Z |
---
license: unknown
---
|
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trymtv/norwegian-parliament-speeches
|
trymtv
| 2023-11-24T10:14:58Z | 0 | 0 |
[
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:no",
"license:cc0-1.0",
"region:us"
] |
[
"text-classification"
] | 2023-11-24T10:06:57Z |
---
license: cc0-1.0
task_categories:
- text-classification
language:
- 'no'
pretty_name: Norwegian parliament speeches
size_categories:
- 100K<n<1M
---
# Dataset Card for Dataset Name
## Dataset Details
### Dataset Description
Speeches from the Norwegian parliament from 1998 and 2022. Parsed from the Norwegian part of the EU ParlaMint, ParlaMint-NO
### Dataset Sources
Source: https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-77/
|
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] |
Pablao0948/Wynq
|
Pablao0948
| 2023-11-24T10:26:40Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T10:19:48Z |
---
license: openrail
---
|
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] |
ivne20/reveal
|
ivne20
| 2023-11-24T10:39:39Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T10:39:36Z |
---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype:
class_label:
names:
'0': 'False'
'1': 'True'
splits:
- name: train
num_bytes: 26661950
num_examples: 18187
- name: test
num_bytes: 6648520
num_examples: 4547
download_size: 11878633
dataset_size: 33310470
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
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bilallllllll/maow
|
bilallllllll
| 2023-11-24T10:42:14Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T10:42:09Z |
---
dataset_info:
features:
- name: id
dtype: int32
- name: previous_frame
dtype: image
- name: next_frame
dtype: image
- name: next_frame_pose
dtype: image
splits:
- name: train
num_bytes: 2492565.0
num_examples: 12
download_size: 2473017
dataset_size: 2492565.0
---
# Dataset Card for "maow"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
shirshakach/Llama-Dataset
|
shirshakach
| 2023-11-27T01:45:16Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T10:45:03Z |
---
dataset_info:
features:
- name: query_id
dtype: int32
- name: answers
sequence: string
- name: passages
struct:
- name: is_selected
sequence: int32
- name: passage_text
sequence: string
- name: url
sequence: string
- name: query
dtype: string
- name: query_type
dtype: string
- name: wellFormedAnswers
sequence: 'null'
- name: ai_answers
dtype: string
- name: query_len
dtype: int64
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 22204146
num_examples: 5000
download_size: 10885468
dataset_size: 22204146
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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FASOXO/COUI
|
FASOXO
| 2023-11-24T11:43:07Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T11:43:07Z |
---
license: openrail
---
|
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] |
AppleHarem/unicorn_azurlane
|
AppleHarem
| 2023-11-24T11:50:12Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-24T11:49:47Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of unicorn (Azur Lane)
This is the dataset of unicorn (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 522 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 597 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 522 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 522 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 323 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 597 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 597 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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presencesw/esnli
|
presencesw
| 2023-11-24T12:05:49Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T11:57:33Z |
---
dataset_info:
features:
- name: question
dtype: string
- name: choice
dtype: string
- name: answer
dtype: string
- name: cot
dtype: string
splits:
- name: train
num_bytes: 11163841
num_examples: 36174
download_size: 4229630
dataset_size: 11163841
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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mandania/i-am-that
|
mandania
| 2023-11-24T12:55:29Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T12:55:22Z |
---
dataset_info:
features:
- name: text
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 895873
num_examples: 88
- name: test
num_bytes: 143773
num_examples: 16
download_size: 582588
dataset_size: 1039646
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
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mandania/i-am-that-split
|
mandania
| 2023-11-24T12:57:18Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T12:57:11Z |
---
dataset_info:
features:
- name: text
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 708164
num_examples: 1698
- name: test
num_bytes: 125231
num_examples: 300
download_size: 485640
dataset_size: 833395
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
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] |
tollefj/NORTS
|
tollefj
| 2023-11-24T15:55:48Z | 0 | 1 |
[
"region:us"
] | null | 2023-11-24T13:16:41Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: AssignmentId
dtype: string
- name: docId
dtype: string
- name: article
dtype: string
- name: tid1
dtype: int64
- name: tid2
dtype: int64
- name: words1
dtype: string
- name: words2
dtype: string
- name: phrases1
dtype: string
- name: phrases2
dtype: string
- name: sentences1
dtype: string
- name: sentences2
dtype: string
- name: summary1
dtype: string
- name: summary2
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 11384802
num_examples: 2400
- name: test
num_bytes: 2979312
num_examples: 600
download_size: 7539242
dataset_size: 14364114
---
# NORTS - Norwegian Topic-based Summarization Dataset
Translated from NORTS (NEWs Topic-based Summarization Dataset, https://github.com/ali-bahrainian/NEWTS) using the 1.3B NLLB model (https://huggingface.co/facebook/nllb-200-distilled-1.3B)
|
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] |
Alex-Song/Test
|
Alex-Song
| 2023-11-25T09:38:35Z | 0 | 0 |
[
"task_categories:translation",
"size_categories:1K<n<10K",
"language:ja",
"language:zh",
"language:ar",
"license:apache-2.0",
"music",
"region:us"
] |
[
"translation"
] | 2023-11-24T13:17:27Z |
---
license: apache-2.0
task_categories:
- translation
language:
- ja
- zh
- ar
tags:
- music
pretty_name: MTSpeech
size_categories:
- 1K<n<10K
extra_gated_prompt: "You agree to not attempt to determine the identity of individuals in this dataset"
extra_gated_fields:
Name: text
Affiliation: text
Email: text
I agree to not attempt to determine the identity of speakers in this dataset: checkbox
viewer: false
---
# 这是一个很牛逼的数据集
|
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vibhorag101/suicide_prediction_dataset_phr
|
vibhorag101
| 2023-11-25T03:52:20Z | 0 | 0 |
[
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"region:us"
] |
[
"text-classification"
] | 2023-11-24T13:27:36Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 75975910.63587219
num_examples: 185574
- name: test
num_bytes: 18994182.36412781
num_examples: 46394
download_size: 53587175
dataset_size: 94970093
license: mit
task_categories:
- text-classification
language:
- en
pretty_name: Suicidal Tendency Prediction Dataset
size_categories:
- 100K<n<1M
---
# Dataset Card for "vibhorag101/suicide_prediction_dataset_phr"
- The dataset is sourced from Reddit and is available on [Kaggle](https://www.kaggle.com/datasets/nikhileswarkomati/suicide-watch).
- The dataset contains text with binary labels for suicide or non-suicide.
- The dataset was cleaned and following steps were applied
- Converted to lowercase
- Removed numbers and special characters.
- Removed URLs, Emojis and accented characters.
- Removed any word contractions.
- Remove any extra white spaces and any extra spaces after a single space.
- Removed any consecutive characters repeated more than 3 times.
- Tokenised the text, then lemmatized it and then removed the stopwords (excluding not).
- The `class_label` column was renamed to `label` for use with trainer API.
- The evaluation set had ~23000 samples, while the training set had ~186k samples, i.e. a 80:10:10 (train:test:val) split.
|
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hbilgen/sap-notes
|
hbilgen
| 2023-11-24T14:21:22Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-24T14:21:22Z |
---
license: unknown
---
|
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hbilgen/sap-help
|
hbilgen
| 2023-11-24T14:21:35Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-24T14:21:35Z |
---
license: unknown
---
|
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] |
hbilgen/sap-basis
|
hbilgen
| 2023-11-24T14:21:47Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-24T14:21:47Z |
---
license: unknown
---
|
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] |
hbilgen/sap-community
|
hbilgen
| 2023-11-24T14:22:17Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-24T14:22:15Z |
---
license: unknown
---
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] |
Lununlu/Applio-RVC-Fork
|
Lununlu
| 2023-11-24T14:31:54Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-24T14:27:43Z |
---
license: apache-2.0
---
|
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manu/bnf_clean
|
manu
| 2023-11-24T15:16:04Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T14:38:15Z |
---
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
- name: author
dtype: string
- name: title
dtype: string
- name: mean_nqa
dtype: float64
- name: date
dtype: string
- name: subject
dtype: string
- name: rights
dtype: string
- name: original_folder
dtype: string
- name: perplexity
dtype: float64
splits:
- name: '2023'
num_bytes: 129088433.72207084
num_examples: 441
- name: '2021_1'
num_bytes: 96451.66666666667
num_examples: 5
- name: '2021_2'
num_bytes: 85416.8
num_examples: 4
download_size: 77863123
dataset_size: 129270302.18873751
---
# Dataset Card for "bnf_clean"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
vinny9812/audiobrunogiglio
|
vinny9812
| 2023-11-24T19:36:11Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T14:52:16Z |
---
license: openrail
---
|
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] |
WuJianping/test-dataset-abc
|
WuJianping
| 2023-11-24T15:16:18Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-24T15:16:17Z |
---
license: apache-2.0
---
|
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] |
AppleHarem/laffey_azurlane
|
AppleHarem
| 2023-11-24T15:24:37Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-24T15:24:24Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of laffey (Azur Lane)
This is the dataset of laffey (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 516 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 581 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 516 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 516 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 227 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 581 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 581 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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] |
lucasabc/vozes
|
lucasabc
| 2023-11-24T15:25:39Z | 0 | 0 |
[
"license:other",
"region:us"
] | null | 2023-11-24T15:24:53Z |
---
license: other
license_name: teste
license_link: LICENSE
---
|
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] |
osyvokon/ua_gec_instruction_tuning
|
osyvokon
| 2023-11-24T16:50:06Z | 0 | 0 |
[
"size_categories:10K<n<100K",
"language:uk",
"license:cc-by-4.0",
"region:us"
] | null | 2023-11-24T16:14:18Z |
---
license: cc-by-4.0
language:
- uk
size_categories:
- 10K<n<100K
---
# UA-GEC instruction tuning
This dataset contains prompts and expected outputs for the grammatical error
correction task in the Ukrainian language. It is based on the
CC-BY-4.0-licensed [UA-GEC](https://github.com/grammarly/ua-gec) dataset. The
license of the original data is CC-BY-4.0.
This dataset contains 1,700 examples of fixing errors in long documents, and
~28,000 sentence-level examples.
The instructions ask to correct errors in the text. Sometimes the model outputs
the corrected text as is. At other times, it will add "Sure, here's the
corrected text". If the text doesn't contain any errors, sometimes the model
will just output the input text, and in other cases it will write "This text
doesn't contain grammatical errors."
You can find the exact input and output templates can be found in
`input_templates.doc.dat`, `input_templates.sent.dat` and `generate.py`.
## Stats
Metric | Value
-------|-------
Number of document-level examples | 1,700
Number of sentence-level examples | 28,258
Number of input templates | 14
Number of output templates | 6
|
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] |
confit/mswc
|
confit
| 2023-11-24T17:05:48Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T16:33:13Z |
---
configs:
- config_name: eng
data_files:
- split: train
path: eng/train-*
- split: validation
path: eng/validation-*
- split: test
path: eng/test-*
- config_name: ind
data_files:
- split: train
path: ind/train-*
- split: validation
path: ind/validation-*
- split: test
path: ind/test-*
- config_name: spa
data_files:
- split: train
path: spa/train-*
- split: validation
path: spa/validation-*
- split: test
path: spa/test-*
dataset_info:
- config_name: eng
features:
- name: filename
dtype: string
- name: label
dtype:
class_label:
names:
'0': aaron
'1': abba
'2': abel
'3': abigail
'4': abilene
'5': abner
'6': abraham
'7': abrahams
'8': abram
'9': adam
'10': agrippa
'11': alexander
'12': alexandria
'13': ammon
'14': amos
'15': andrew
'16': anna
'17': antioch
'18': antiochus
'19': apollonia
'20': arabia
'21': aram
'22': archelaus
'23': ariel
'24': artemis
'25': asa
'26': asher
'27': ashur
'28': asia
'29': assemble
'30': assyria
'31': athens
'32': augustus
'33': babylon
'34': babylonia
'35': bani
'36': barak
'37': barnabas
'38': bartholomew
'39': baruch
'40': bela
'41': benjamin
'42': berea
'43': bernice
'44': beth
'45': bethany
'46': bethel
'47': bethesda
'48': bethlehem
'49': caesar
'50': caesarea
'51': cain
'52': caleb
'53': cana
'54': canaan
'55': carmel
'56': castor
'57': cesar
'58': chios
'59': christ
'60': cilicia
'61': claudia
'62': claudius
'63': clement
'64': corinth
'65': cornelius
'66': crete
'67': cyprus
'68': cyrus
'69': dalmatia
'70': damascus
'71': dan
'72': daniel
'73': darius
'74': david
'75': deborah
'76': demetrius
'77': diana
'78': dinah
'79': dionysius
'80': drusilla
'81': eden
'82': egypt
'83': elam
'84': eli
'85': elia
'86': elias
'87': eliezer
'88': elijah
'89': elim
'90': elisabeth
'91': elizabeth
'92': elon
'93': enoch
'94': enos
'95': ephesus
'96': ephraim
'97': esther
'98': ethan
'99': ethiopia
'100': eunice
'101': euphrates
'102': eve
'103': ezra
'104': felix
'105': gabriel
'106': gad
'107': gaius
'108': galilee
'109': gaza
'110': gideon
'111': gilead
'112': goshen
'113': greece
'114': hadad
'115': hades
'116': hagar
'117': ham
'118': hannah
'119': heber
'120': hebrew
'121': hebron
'122': hermes
'123': hermon
'124': herod
'125': hiram
'126': hosanna
'127': hush
'128': immanuel
'129': india
'130': ira
'131': isaac
'132': isaiah
'133': ishmael
'134': israel
'135': italy
'136': jacob
'137': james
'138': jared
'139': jason
'140': jeremiah
'141': jericho
'142': jerusalem
'143': jesse
'144': jesus
'145': jethro
'146': jew
'147': jezebel
'148': joanna
'149': job
'150': joel
'151': john
'152': jonah
'153': jonas
'154': jonathan
'155': jordan
'156': joseph
'157': joshua
'158': josiah
'159': judah
'160': judas
'161': jude
'162': judith
'163': julia
'164': julius
'165': justus
'166': kos
'167': laban
'168': lazarus
'169': leah
'170': lebanon
'171': levi
'172': libya
'173': linus
'174': lois
'175': lot
'176': lucius
'177': luke
'178': lydia
'179': macedonia
'180': magdalene
'181': magi
'182': maker
'183': malta
'184': mariam
'185': mark
'186': martha
'187': mary
'188': matthew
'189': melchizedek
'190': mesopotamia
'191': messiah
'192': michael
'193': midian
'194': miriam
'195': moab
'196': mordecai
'197': moses
'198': myra
'199': naomi
'200': narcissus
'201': nathanael
'202': nazareth
'203': nebuchadnezzar
'204': nicolas
'205': niger
'206': nile
'207': noah
'208': paul
'209': paulus
'210': perez
'211': persia
'212': peter
'213': pharaoh
'214': philadelphia
'215': philip
'216': phoebe
'217': phoenix
'218': pontus
'219': priscilla
'220': publius
'221': rachel
'222': rebecca
'223': rebekah
'224': reuben
'225': rhoda
'226': rhodes
'227': rome
'228': rufus
'229': salem
'230': salim
'231': salome
'232': samson
'233': samuel
'234': sarah
'235': sardis
'236': satan
'237': saul
'238': seleucia
'239': seth
'240': sharon
'241': shiloh
'242': shout
'243': shun
'244': silas
'245': simeon
'246': simon
'247': sinai
'248': sion
'249': smyrna
'250': sodom
'251': solomon
'252': spain
'253': stephen
'254': susanna
'255': syracuse
'256': syria
'257': tabitha
'258': tabor
'259': tamar
'260': theophilus
'261': thomas
'262': thummim
'263': tiberius
'264': timothy
'265': titus
'266': tobias
'267': tyre
'268': urim
'269': zeus
'270': zion
splits:
- name: train
num_bytes: 1215893
num_examples: 26744
- name: validation
num_bytes: 159193
num_examples: 3491
- name: test
num_bytes: 159142
num_examples: 3491
download_size: 397181
dataset_size: 1534228
- config_name: ind
features:
- name: filename
dtype: string
- name: label
dtype:
class_label:
names:
'0': agustus
'1': anak
'2': asia
'3': dan
'4': kuat
'5': pulau
'6': raja
'7': rumahnya
'8': selama
'9': selamat
'10': selatan
'11': tahan
'12': teman
'13': tuhan
splits:
- name: train
num_bytes: 26080
num_examples: 575
- name: validation
num_bytes: 3756
num_examples: 83
- name: test
num_bytes: 3664
num_examples: 81
download_size: 12806
dataset_size: 33500
- config_name: spa
features:
- name: filename
dtype: string
- name: label
dtype:
class_label:
names:
'0': abel
'1': abismo
'2': adán
'3': agar
'4': alejandro
'5': alejandría
'6': ana
'7': andrés
'8': antioquía
'9': apolo
'10': arabia
'11': artemisa
'12': asia
'13': atenas
'14': augusto
'15': babilonia
'16': benjamín
'17': berenice
'18': bordeando
'19': capadocia
'20': caín
'21': cesar
'22': chipre
'23': claudia
'24': claudio
'25': clemente
'26': consejo
'27': constructor
'28': corinto
'29': cornelio
'30': creta
'31': cristo
'32': cuarto
'33': damasco
'34': dan
'35': daniel
'36': david
'37': demetrio
'38': dionisio
'39': dirigente
'40': efraín
'41': egipto
'42': elisabet
'43': elías
'44': eneas
'45': eran
'46': españa
'47': esteban
'48': etiopía
'49': eva
'50': evita
'51': faraón
'52': felipe
'53': filadelfia
'54': filemón
'55': filólogo
'56': gabriel
'57': gobernaba
'58': grecia
'59': hebreo
'60': hermes
'61': iliria
'62': ira
'63': isaac
'64': israel
'65': italia
'66': jacob
'67': jesús
'68': joel
'69': jordán
'70': josé
'71': juan
'72': juana
'73': judas
'74': judea
'75': judío
'76': julia
'77': julio
'78': justo
'79': libia
'80': lidia
'81': lino
'82': lucas
'83': lucio
'84': lázaro
'85': macedonia
'86': maestros
'87': magdalena
'88': malta
'89': marcos
'90': marta
'91': maría
'92': mateo
'93': matías
'94': mesopotamia
'95': mesías
'96': miguel
'97': narciso
'98': negro
'99': nicanor
'100': nicolás
'101': oiga
'102': olimpo
'103': pablo
'104': partos
'105': paulo
'106': pedro
'107': peor
'108': pesan
'109': pirro
'110': ponto
'111': rebeca
'112': reúnen
'113': roma
'114': rufo
'115': sabios
'116': salem
'117': salmón
'118': salomé
'119': salomón
'120': samuel
'121': santiago
'122': sara
'123': satanás
'124': segundo
'125': sergio
'126': set
'127': señor
'128': simeón
'129': simón
'130': siracusa
'131': siria
'132': situó
'133': sur
'134': susana
'135': tara
'136': tercio
'137': tiberio
'138': timón
'139': tiro
'140': tito
'141': tomás
'142': urbano
'143': viva
'144': zara
'145': zeus
splits:
- name: train
num_bytes: 431605
num_examples: 9283
- name: validation
num_bytes: 57583
num_examples: 1238
- name: test
num_bytes: 57583
num_examples: 1238
download_size: 148219
dataset_size: 546771
---
# Dataset Card for "mswc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
HamdanXI/arb-eng-parallel-10k-splitted-translated-arabic
|
HamdanXI
| 2023-11-24T17:07:55Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T17:07:53Z |
---
dataset_info:
features:
- name: arabic
dtype: string
- name: english
dtype: string
- name: translated
dtype: string
splits:
- name: train
num_bytes: 4714807
num_examples: 7999
- name: validation
num_bytes: 571638
num_examples: 1000
- name: test
num_bytes: 585646
num_examples: 1000
download_size: 3399538
dataset_size: 5872091
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
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] |
guima/gemersonnovo
|
guima
| 2023-11-24T17:21:35Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T17:11:45Z |
---
license: openrail
---
|
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] |
ronanarraig/sample_dataset
|
ronanarraig
| 2023-11-27T19:19:16Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T17:28:09Z |
---
extra_gated_prompt: "Purchase access to this repo [HERE](https://buy.stripe.com/dR616I1mo99D6pabII)"
---
# My Dataset readme
|
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] |
Kaue123456/KaueGama
|
Kaue123456
| 2023-11-24T17:31:45Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T17:30:58Z |
---
license: openrail
---
|
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NoobPROBR/Red
|
NoobPROBR
| 2023-11-24T17:31:54Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T17:31:35Z |
---
license: openrail
---
|
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Kaue123456/Andrey
|
Kaue123456
| 2023-11-24T17:32:41Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T17:32:13Z |
---
license: openrail
---
|
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NoobPROBR/Roger
|
NoobPROBR
| 2023-11-24T17:33:38Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T17:32:43Z |
---
license: openrail
---
|
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teamwork/teamwork
|
teamwork
| 2023-11-24T17:37:30Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-24T17:37:30Z |
---
license: mit
---
|
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AppleHarem/serina_bluearchive
|
AppleHarem
| 2023-11-24T19:06:20Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-24T19:06:02Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of serina (Blue Archive)
This is the dataset of serina (Blue Archive), containing 194 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 194 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 528 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 611 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 194 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 194 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 194 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 528 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 528 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 507 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 611 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 611 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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AppleHarem/le_malin_azurlane
|
AppleHarem
| 2023-11-24T20:31:39Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-24T20:31:19Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of le_malin (Azur Lane)
This is the dataset of le_malin (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 530 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 598 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 530 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 530 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 347 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 598 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 598 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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harshitaay/Atlas_CodeLlama7bInstruct_Tokenized
|
harshitaay
| 2023-11-26T00:38:55Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T20:53:58Z |
---
dataset_info:
features:
- name: text
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 865791958
num_examples: 150523
- name: validation
num_bytes: 111633790
num_examples: 18815
download_size: 157402763
dataset_size: 977425748
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
|
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] |
haroldim/voz-femi-mult
|
haroldim
| 2023-11-24T21:12:24Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T21:10:36Z |
---
license: openrail
---
|
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] |
josedonoso/busi-dataset-v2
|
josedonoso
| 2023-11-24T21:28:54Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T21:28:48Z |
---
dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
splits:
- name: train
num_bytes: 271198683.4497682
num_examples: 517
- name: test
num_bytes: 68193092.55023184
num_examples: 130
download_size: 90195143
dataset_size: 339391776.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
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RIW/small-coco-wm_50_3
|
RIW
| 2023-11-24T21:44:01Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T21:43:07Z |
---
dataset_info:
features:
- name: image
dtype: image
- name: caption
dtype: string
- name: url
dtype: string
- name: key
dtype: string
- name: status
dtype: string
- name: error_message
dtype: 'null'
- name: width
dtype: int64
- name: height
dtype: int64
- name: original_width
dtype: int64
- name: original_height
dtype: int64
- name: exif
dtype: string
- name: sha256
dtype: string
splits:
- name: train
num_bytes: 1556738716.452
num_examples: 18983
- name: validation
num_bytes: 1686246014.3
num_examples: 18932
download_size: 722637591
dataset_size: 3242984730.752
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
|
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furkanakkurt1618/pos_dataset-UD_Turkish-BOUN-v2.13
|
furkanakkurt1618
| 2023-11-24T22:36:38Z | 0 | 0 |
[
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:tr",
"license:cc-by-sa-4.0",
"region:us"
] |
[
"token-classification"
] | 2023-11-24T22:20:07Z |
---
license: cc-by-sa-4.0
task_categories:
- token-classification
language:
- tr
pretty_name: UD Turkish BOUN Treebank POS Tagging
size_categories:
- 1K<n<10K
---
|
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Kaue123456/DuduJoaoBatista
|
Kaue123456
| 2023-11-24T22:21:28Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T22:20:24Z |
---
license: openrail
---
|
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] |
MxnBeats/jeleelyeah
|
MxnBeats
| 2023-11-24T22:35:19Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T22:31:11Z |
---
license: openrail
---
|
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furkanakkurt1618/pos_dataset-UD_Turkish-IMST-v2.13
|
furkanakkurt1618
| 2023-11-24T22:43:23Z | 0 | 0 |
[
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:tr",
"license:cc-by-sa-4.0",
"region:us"
] |
[
"token-classification"
] | 2023-11-24T22:41:23Z |
---
license: cc-by-sa-4.0
task_categories:
- token-classification
language:
- tr
pretty_name: UD Turkish IMST Treebank POS Tagging
size_categories:
- 1K<n<10K
---
|
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] |
bilalelmanja/six_sigma
|
bilalelmanja
| 2023-11-24T22:51:13Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-24T22:50:39Z |
---
license: mit
---
|
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jadasdn/trial_Level_2_A
|
jadasdn
| 2023-11-24T23:02:43Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-24T22:58:05Z |
---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 2624020367.8833747
num_examples: 58098
download_size: 2607714351
dataset_size: 2624020367.8833747
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "trial_Level_2_A"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
AcasoQ/coachvoz
|
AcasoQ
| 2023-11-24T23:29:31Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-24T23:28:14Z |
---
license: openrail
---
|
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] |
adalbertoljardim/poze
|
adalbertoljardim
| 2023-11-25T00:18:00Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-25T00:17:11Z |
---
license: openrail
---
|
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Pablao0948/Smurfzin
|
Pablao0948
| 2023-11-25T00:42:26Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-25T00:42:08Z |
---
license: openrail
---
|
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] |
hugosousa/SmallTimelines
|
hugosousa
| 2023-11-25T17:36:32Z | 0 | 0 |
[
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"region:us"
] | null | 2023-11-25T01:27:44Z |
---
license: mit
language:
- en
pretty_name: Small Timelines
size_categories:
- 10K<n<100K
configs:
- config_name: one
data_files:
- split: train
path: "one/train.json"
- split: test
path: "one/test.json"
- config_name: two
data_files:
- split: train
path: "two/train.json"
- split: test
path: "two/test.json"
- config_name: three
data_files:
- split: train
path: "three/train.json"
- split: test
path: "three/test.json"
- config_name: four
data_files:
- split: train
path: "four/train.json"
- split: test
path: "four/test.json"
- config_name: five
data_files:
- split: train
path: "five/train.json"
- split: test
path: "five/test.json"
---
|
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AppleHarem/nagato_azurlane
|
AppleHarem
| 2023-11-25T02:00:03Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-25T01:59:38Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of nagato (Azur Lane)
This is the dataset of nagato (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 520 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 584 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 520 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 520 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 406 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 584 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 584 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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furry-br/barbie
|
furry-br
| 2023-11-25T02:57:43Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-25T02:57:30Z |
---
license: openrail
---
|
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bot-yaya/undl_zh2en_translation
|
bot-yaya
| 2023-11-25T04:01:46Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-25T03:16:58Z |
---
dataset_info:
features:
- name: clean_zh
sequence: string
- name: clean_en
sequence: string
- name: record
dtype: string
- name: zh2en
sequence: string
splits:
- name: train
num_bytes: 13263355893
num_examples: 165840
download_size: 6373670636
dataset_size: 13263355893
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "undl_zh2en_translation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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malaysia-ai/mosaic-combine-all
|
malaysia-ai
| 2023-11-28T08:18:52Z | 0 | 0 |
[
"language:ms",
"region:us"
] | null | 2023-11-25T03:53:14Z |
---
language:
- ms
---
# Mosaic format for combine all dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
1. prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/pretrain-llm/combine-all.ipynb
2. using tokenizer https://huggingface.co/malaysia-ai/bpe-tokenizer
3. 4096 context length.
## how-to
1. git clone,
```bash
git lfs clone https://huggingface.co/datasets/malaysia-ai/mosaic-combine-all
```
2. load it,
```python
from streaming import LocalDataset
import numpy as np
from streaming.base.format.mds.encodings import Encoding, _encodings
class UInt16(Encoding):
def encode(self, obj) -> bytes:
return obj.tobytes()
def decode(self, data: bytes):
return np.frombuffer(data, np.uint16)
_encodings['uint16'] = UInt16
dataset = LocalDataset('mosaic-combine-all')
len(dataset)
```
|
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BangumiBase/madeinabyss
|
BangumiBase
| 2023-11-25T08:04:16Z | 0 | 0 |
[
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | null | 2023-11-25T05:19:02Z |
---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Made In Abyss
This is the image base of bangumi Made in Abyss, we detected 35 characters, 3476 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 95 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 81 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 46 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 25 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 116 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 374 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 38 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 37 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 1042 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 77 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 17 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 34 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 8 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 64 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 15 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 5 | [Download](15/dataset.zip) |  |  |  |  |  | N/A | N/A | N/A |
| 16 | 26 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 731 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 40 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 133 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 23 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 6 | [Download](21/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 22 | 64 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 28 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 21 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 16 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 14 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 9 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 15 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 9 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 12 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 19 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 45 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 5 | [Download](33/dataset.zip) |  |  |  |  |  | N/A | N/A | N/A |
| noise | 186 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
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yangjinlong/gz
|
yangjinlong
| 2023-11-25T23:41:02Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-25T05:20:26Z |
---
license: mit
---
|
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arpitdvd/sample_font_aesthetics_ds
|
arpitdvd
| 2023-12-02T20:24:18Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-25T06:14:52Z |
---
license: mit
---
|
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AppleHarem/shimakaze_azurlane
|
AppleHarem
| 2023-11-25T06:34:54Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-25T06:34:37Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of shimakaze (Azur Lane)
This is the dataset of shimakaze (Azur Lane), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 555 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 602 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 555 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 555 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 474 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 602 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 602 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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Shayan01/islamic-data
|
Shayan01
| 2023-11-25T07:11:34Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-25T06:42:25Z |
---
license: mit
---
|
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akash140500/mini-platypus
|
akash140500
| 2023-11-25T07:49:12Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-25T07:49:11Z |
---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 4186564
num_examples: 1000
download_size: 2245924
dataset_size: 4186564
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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AppleHarem/yoshimi_bluearchive
|
AppleHarem
| 2023-11-25T07:54:02Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-25T07:53:46Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of yoshimi (Blue Archive)
This is the dataset of yoshimi (Blue Archive), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 564 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 660 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 564 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 564 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 529 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 660 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 660 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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AppleHarem/tsurugi_bluearchive
|
AppleHarem
| 2023-11-25T08:08:32Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] |
[
"text-to-image"
] | 2023-11-25T08:08:12Z |
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of tsurugi (Blue Archive)
This is the dataset of tsurugi (Blue Archive), containing 200 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 531 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 667 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 531 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 531 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 485 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 667 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 667 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
|
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SergioSCA/Visionv3
|
SergioSCA
| 2023-11-26T17:17:04Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-25T08:59:28Z |
---
license: apache-2.0
---
# Dataset Card for Dataset Name
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BangumiBase/yourlieinapril
|
BangumiBase
| 2023-11-25T11:18:34Z | 0 | 0 |
[
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | null | 2023-11-25T09:23:04Z |
---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Your Lie In April
This is the image base of bangumi Your Lie in April, we detected 26 characters, 2374 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 609 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 135 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 82 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 45 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 64 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 25 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 89 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 32 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 108 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 118 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 15 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 30 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 86 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 28 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 38 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 27 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 75 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 86 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 83 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 112 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 60 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 13 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 7 | [Download](22/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 23 | 6 | [Download](23/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 24 | 7 | [Download](24/dataset.zip) |  |  |  |  |  |  |  | N/A |
| noise | 394 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
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BangumiBase/natsumesbookoffriends
|
BangumiBase
| 2023-11-25T13:44:22Z | 0 | 0 |
[
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | null | 2023-11-25T09:23:26Z |
---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Natsume's Book Of Friends
This is the image base of bangumi Natsume's Book of Friends, we detected 60 characters, 6311 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 2720 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 274 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 199 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 233 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 102 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 52 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 89 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 110 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 373 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 74 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 58 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 48 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 150 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 39 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 31 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 89 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 37 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 82 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 87 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 163 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 123 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 43 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 84 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 33 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 16 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 18 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 33 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 23 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 20 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 21 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 34 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 26 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 20 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 22 | [Download](33/dataset.zip) |  |  |  |  |  |  |  |  |
| 34 | 20 | [Download](34/dataset.zip) |  |  |  |  |  |  |  |  |
| 35 | 10 | [Download](35/dataset.zip) |  |  |  |  |  |  |  |  |
| 36 | 27 | [Download](36/dataset.zip) |  |  |  |  |  |  |  |  |
| 37 | 9 | [Download](37/dataset.zip) |  |  |  |  |  |  |  |  |
| 38 | 16 | [Download](38/dataset.zip) |  |  |  |  |  |  |  |  |
| 39 | 104 | [Download](39/dataset.zip) |  |  |  |  |  |  |  |  |
| 40 | 22 | [Download](40/dataset.zip) |  |  |  |  |  |  |  |  |
| 41 | 61 | [Download](41/dataset.zip) |  |  |  |  |  |  |  |  |
| 42 | 11 | [Download](42/dataset.zip) |  |  |  |  |  |  |  |  |
| 43 | 26 | [Download](43/dataset.zip) |  |  |  |  |  |  |  |  |
| 44 | 42 | [Download](44/dataset.zip) |  |  |  |  |  |  |  |  |
| 45 | 8 | [Download](45/dataset.zip) |  |  |  |  |  |  |  |  |
| 46 | 9 | [Download](46/dataset.zip) |  |  |  |  |  |  |  |  |
| 47 | 21 | [Download](47/dataset.zip) |  |  |  |  |  |  |  |  |
| 48 | 8 | [Download](48/dataset.zip) |  |  |  |  |  |  |  |  |
| 49 | 17 | [Download](49/dataset.zip) |  |  |  |  |  |  |  |  |
| 50 | 17 | [Download](50/dataset.zip) |  |  |  |  |  |  |  |  |
| 51 | 10 | [Download](51/dataset.zip) |  |  |  |  |  |  |  |  |
| 52 | 28 | [Download](52/dataset.zip) |  |  |  |  |  |  |  |  |
| 53 | 15 | [Download](53/dataset.zip) |  |  |  |  |  |  |  |  |
| 54 | 102 | [Download](54/dataset.zip) |  |  |  |  |  |  |  |  |
| 55 | 19 | [Download](55/dataset.zip) |  |  |  |  |  |  |  |  |
| 56 | 15 | [Download](56/dataset.zip) |  |  |  |  |  |  |  |  |
| 57 | 8 | [Download](57/dataset.zip) |  |  |  |  |  |  |  |  |
| 58 | 9 | [Download](58/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 151 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
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] |
manojpatil/123
|
manojpatil
| 2023-11-25T09:59:34Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-25T09:48:09Z |
---
dataset_info:
features:
- name: r
dtype: int64
- name: theta
dtype: string
splits:
- name: train
num_bytes: 173
num_examples: 7
download_size: 1415
dataset_size: 173
---
# Dataset Card for "123"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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BangumiBase/danshikoukouseinonichijou
|
BangumiBase
| 2023-11-25T11:12:24Z | 0 | 0 |
[
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | null | 2023-11-25T10:04:03Z |
---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Danshi Koukousei No Nichijou
This is the image base of bangumi Danshi Koukousei no Nichijou, we detected 25 characters, 1831 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 320 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 127 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 364 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 29 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 75 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 106 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 20 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 54 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 61 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 69 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 21 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 21 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 54 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 9 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 46 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 229 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 29 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 36 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 56 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 7 | [Download](19/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 20 | 12 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 28 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 7 | [Download](22/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 23 | 7 | [Download](23/dataset.zip) |  |  |  |  |  |  |  | N/A |
| noise | 44 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
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sanjay69/kannada-news
|
sanjay69
| 2023-11-25T10:18:28Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-25T10:14:35Z |
---
license: mit
---
|
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sonup/vehicles
|
sonup
| 2023-11-27T12:32:41Z | 0 | 0 |
[
"license:cc-by-4.0",
"region:us"
] | null | 2023-11-25T10:16:52Z |
---
license: cc-by-4.0
dataset_info:
features:
- name: filename
dtype: string
- name: width
dtype: int64
- name: height
dtype: int64
- name: class
dtype: int64
- name: xmin
dtype: int64
- name: ymin
dtype: int64
- name: xmax
dtype: int64
- name: ymax
dtype: int64
splits:
- name: train
num_bytes: 38668
num_examples: 397
download_size: 13698
dataset_size: 38668
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
bot-yaya/undl_zh2en_aligned
|
bot-yaya
| 2023-11-25T11:39:04Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-25T10:38:20Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: record
dtype: string
- name: clean_para_index_set_pair
dtype: string
- name: src
dtype: string
- name: dst
dtype: string
- name: src_text
dtype: string
- name: dst_text
dtype: string
- name: src_rate
dtype: float64
- name: dst_rate
dtype: float64
splits:
- name: train
num_bytes: 8884444751
num_examples: 15331650
download_size: 2443622169
dataset_size: 8884444751
---
# Dataset Card for "undl_zh2en_aligned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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bot-yaya/rework_undl_text
|
bot-yaya
| 2023-11-25T16:29:01Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-25T10:39:24Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: ar
dtype: string
- name: zh
dtype: string
- name: en
dtype: string
- name: fr
dtype: string
- name: ru
dtype: string
- name: es
dtype: string
- name: de
dtype: string
- name: record
dtype: string
splits:
- name: train
num_bytes: 48622457871
num_examples: 165840
download_size: 3906189450
dataset_size: 48622457871
---
# Dataset Card for "rework_undl_text"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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BangumiBase/nana
|
BangumiBase
| 2023-11-25T13:26:05Z | 0 | 0 |
[
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | null | 2023-11-25T10:45:08Z |
---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Nana
This is the image base of bangumi NANA, we detected 38 characters, 4462 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 102 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 885 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 60 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 72 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 33 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 19 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 36 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 979 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 105 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 390 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 25 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 60 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 143 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 122 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 76 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 25 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 20 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 50 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 416 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 18 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 83 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 31 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 16 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 29 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 58 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 52 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 39 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 40 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 189 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 38 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 34 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 35 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 60 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 7 | [Download](33/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 34 | 18 | [Download](34/dataset.zip) |  |  |  |  |  |  |  |  |
| 35 | 13 | [Download](35/dataset.zip) |  |  |  |  |  |  |  |  |
| 36 | 6 | [Download](36/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| noise | 78 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
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] |
breno30/AlesandroGM
|
breno30
| 2023-11-30T14:53:06Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-25T11:22:09Z |
---
license: openrail
---
|
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] |
Xiaoyao-Xiaoshui/Booniebears-ZhaoLin-Dataset
|
Xiaoyao-Xiaoshui
| 2023-11-25T11:45:11Z | 0 | 0 |
[
"license:gpl-3.0",
"region:us"
] | null | 2023-11-25T11:45:11Z |
---
license: gpl-3.0
---
|
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edsongomes0215/lula
|
edsongomes0215
| 2023-11-25T12:05:24Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-25T12:03:42Z |
---
license: openrail
---
|
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] |
qbourbon/pb_trainset
|
qbourbon
| 2023-11-25T12:33:33Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-25T12:33:20Z |
---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': 000_airplane
'1': 001_alarm_clock
'2': 002_angel
'3': 003_ant
'4': 004_apple
'5': 005_arm
'6': 006_armchair
'7': 007_ashtray
'8': 008_axe
'9': 009_backpack
'10': 010_banana
'11': 011_barn
'12': 012_baseball_bat
'13': 013_basket
'14': 014_bathtub
'15': 015_bear_(animal)
'16': 016_bed
'17': 017_bee
'18': 018_beer-mug
'19': 019_bell
'20': 020_bench
'21': 021_bicycle
'22': 022_binoculars
'23': 023_blimp
'24': 024_book
'25': 025_bookshelf
'26': 026_boomerang
'27': 027_bottle_opener
'28': 028_bowl
'29': 029_brain
'30': 030_bread
'31': 031_bridge
'32': 032_bulldozer
'33': 033_bus
'34': 034_bush
'35': 035_butterfly
'36': 036_cabinet
'37': 037_cactus
'38': 038_cake
'39': 039_calculator
'40': 040_camel
'41': 041_camera
'42': 042_candle
'43': 043_cannon
'44': 044_canoe
'45': 045_car_(sedan)
'46': 046_carrot
'47': 047_castle
'48': 048_cat
'49': 049_cell_phone
'50': 050_chair
'51': 051_chandelier
'52': 052_church
'53': 053_cigarette
'54': 054_cloud
'55': 055_comb
'56': 056_computer_monitor
'57': 057_computer-mouse
'58': 058_couch
'59': 059_cow
'60': 060_crab
'61': 061_crane_(machine)
'62': 062_crocodile
'63': 063_crown
'64': 064_cup
'65': 065_diamond
'66': 066_dog
'67': 067_dolphin
'68': 068_donut
'69': 069_door
'70': 070_door_handle
'71': 071_dragon
'72': 072_duck
'73': 073_ear
'74': 074_elephant
'75': 075_envelope
'76': 076_eye
'77': 077_eyeglasses
'78': 078_face
'79': 079_fan
'80': 080_feather
'81': 081_fire_hydrant
'82': 082_fish
'83': 083_flashlight
'84': 084_floor_lamp
'85': 085_flower_with_stem
'86': 086_flying_bird
'87': 087_flying_saucer
'88': 088_foot
'89': 089_fork
'90': 090_frog
'91': 091_frying-pan
'92': 092_giraffe
'93': 093_grapes
'94': 094_grenade
'95': 095_guitar
'96': 096_hamburger
'97': 097_hammer
'98': 098_hand
'99': 099_harp
'100': 100_hat
'101': 101_head
'102': 102_head-phones
'103': 103_hedgehog
'104': 104_helicopter
'105': 105_helmet
'106': 106_horse
'107': 107_hot_air_balloon
'108': 108_hot-dog
'109': 109_hourglass
'110': 110_house
'111': 111_human-skeleton
'112': 112_ice-cream-cone
'113': 113_ipod
'114': 114_kangaroo
'115': 115_key
'116': 116_keyboard
'117': 117_knife
'118': 118_ladder
'119': 119_laptop
'120': 120_leaf
'121': 121_lightbulb
'122': 122_lighter
'123': 123_lion
'124': 124_lobster
'125': 125_loudspeaker
'126': 126_mailbox
'127': 127_megaphone
'128': 128_mermaid
'129': 129_microphone
'130': 130_microscope
'131': 131_monkey
'132': 132_moon
'133': 133_mosquito
'134': 134_motorbike
'135': 135_mouse_(animal)
'136': 136_mouth
'137': 137_mug
'138': 138_mushroom
'139': 139_nose
'140': 140_octopus
'141': 141_owl
'142': 142_palm_tree
'143': 143_panda
'144': 144_paper_clip
'145': 145_parachute
'146': 146_parking_meter
'147': 147_parrot
'148': 148_pear
'149': 149_pen
'150': 150_penguin
'151': 151_person_sitting
'152': 152_person_walking
'153': 153_piano
'154': 154_pickup_truck
'155': 155_pig
'156': 156_pigeon
'157': 157_pineapple
'158': 158_pipe_(for_smoking)
'159': 159_pizza
'160': 160_potted_plant
'161': 161_power_outlet
'162': 162_present
'163': 163_pretzel
'164': 164_pumpkin
'165': 165_purse
'166': 166_rabbit
'167': 167_race_car
'168': 168_radio
'169': 169_rainbow
'170': 170_revolver
'171': 171_rifle
'172': 172_rollerblades
'173': 173_rooster
'174': 174_sailboat
'175': 175_santa_claus
'176': 176_satellite
'177': 177_satellite_dish
'178': 178_saxophone
'179': 179_scissors
'180': 180_scorpion
'181': 181_screwdriver
'182': 182_sea_turtle
'183': 183_seagull
'184': 184_shark
'185': 185_sheep
'186': 186_ship
'187': 187_shoe
'188': 188_shovel
'189': 189_skateboard
'190': 190_skull
'191': 191_skyscraper
'192': 192_snail
'193': 193_snake
'194': 194_snowboard
'195': 195_snowman
'196': 196_socks
'197': 197_space_shuttle
'198': 198_speed-boat
'199': 199_spider
'200': 200_sponge_bob
'201': 201_spoon
'202': 202_squirrel
'203': 203_standing_bird
'204': 204_stapler
'205': 205_strawberry
'206': 206_streetlight
'207': 207_submarine
'208': 208_suitcase
'209': 209_sun
'210': 210_suv
'211': 211_swan
'212': 212_sword
'213': 213_syringe
'214': 214_t-shirt
'215': 215_table
'216': 216_tablelamp
'217': 217_teacup
'218': 218_teapot
'219': 219_teddy-bear
'220': 220_telephone
'221': 221_tennis-racket
'222': 222_tent
'223': 223_tiger
'224': 224_tire
'225': 225_toilet
'226': 226_tomato
'227': 227_tooth
'228': 228_toothbrush
'229': 229_tractor
'230': 230_traffic_light
'231': 231_train
'232': 232_tree
'233': 233_trombone
'234': 234_trousers
'235': 235_truck
'236': 236_trumpet
'237': 237_tv
'238': 238_umbrella
'239': 239_van
'240': 240_vase
'241': 241_violin
'242': 242_walkie_talkie
'243': 243_wheel
'244': 244_wheelbarrow
'245': 245_windmill
'246': 246_wine-bottle
'247': 247_wineglass
'248': 248_wrist-watch
'249': 249_zebra
'250': mistery_category
splits:
- name: train
num_bytes: 48304697.956562325
num_examples: 1728
download_size: 50150712
dataset_size: 48304697.956562325
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
qbourbon/pb_valset
|
qbourbon
| 2023-11-25T12:33:37Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-25T12:33:33Z |
---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': 000_airplane
'1': 001_alarm_clock
'2': 002_angel
'3': 003_ant
'4': 004_apple
'5': 005_arm
'6': 006_armchair
'7': 007_ashtray
'8': 008_axe
'9': 009_backpack
'10': 010_banana
'11': 011_barn
'12': 012_baseball_bat
'13': 013_basket
'14': 014_bathtub
'15': 015_bear_(animal)
'16': 016_bed
'17': 017_bee
'18': 018_beer-mug
'19': 019_bell
'20': 020_bench
'21': 021_bicycle
'22': 022_binoculars
'23': 023_blimp
'24': 024_book
'25': 025_bookshelf
'26': 026_boomerang
'27': 027_bottle_opener
'28': 028_bowl
'29': 029_brain
'30': 030_bread
'31': 031_bridge
'32': 032_bulldozer
'33': 033_bus
'34': 034_bush
'35': 035_butterfly
'36': 036_cabinet
'37': 037_cactus
'38': 038_cake
'39': 039_calculator
'40': 040_camel
'41': 041_camera
'42': 042_candle
'43': 043_cannon
'44': 044_canoe
'45': 045_car_(sedan)
'46': 046_carrot
'47': 047_castle
'48': 048_cat
'49': 049_cell_phone
'50': 050_chair
'51': 051_chandelier
'52': 052_church
'53': 053_cigarette
'54': 054_cloud
'55': 055_comb
'56': 056_computer_monitor
'57': 057_computer-mouse
'58': 058_couch
'59': 059_cow
'60': 060_crab
'61': 061_crane_(machine)
'62': 062_crocodile
'63': 063_crown
'64': 064_cup
'65': 065_diamond
'66': 066_dog
'67': 067_dolphin
'68': 068_donut
'69': 069_door
'70': 070_door_handle
'71': 071_dragon
'72': 072_duck
'73': 073_ear
'74': 074_elephant
'75': 075_envelope
'76': 076_eye
'77': 077_eyeglasses
'78': 078_face
'79': 079_fan
'80': 080_feather
'81': 081_fire_hydrant
'82': 082_fish
'83': 083_flashlight
'84': 084_floor_lamp
'85': 085_flower_with_stem
'86': 086_flying_bird
'87': 087_flying_saucer
'88': 088_foot
'89': 089_fork
'90': 090_frog
'91': 091_frying-pan
'92': 092_giraffe
'93': 093_grapes
'94': 094_grenade
'95': 095_guitar
'96': 096_hamburger
'97': 097_hammer
'98': 098_hand
'99': 099_harp
'100': 100_hat
'101': 101_head
'102': 102_head-phones
'103': 103_hedgehog
'104': 104_helicopter
'105': 105_helmet
'106': 106_horse
'107': 107_hot_air_balloon
'108': 108_hot-dog
'109': 109_hourglass
'110': 110_house
'111': 111_human-skeleton
'112': 112_ice-cream-cone
'113': 113_ipod
'114': 114_kangaroo
'115': 115_key
'116': 116_keyboard
'117': 117_knife
'118': 118_ladder
'119': 119_laptop
'120': 120_leaf
'121': 121_lightbulb
'122': 122_lighter
'123': 123_lion
'124': 124_lobster
'125': 125_loudspeaker
'126': 126_mailbox
'127': 127_megaphone
'128': 128_mermaid
'129': 129_microphone
'130': 130_microscope
'131': 131_monkey
'132': 132_moon
'133': 133_mosquito
'134': 134_motorbike
'135': 135_mouse_(animal)
'136': 136_mouth
'137': 137_mug
'138': 138_mushroom
'139': 139_nose
'140': 140_octopus
'141': 141_owl
'142': 142_palm_tree
'143': 143_panda
'144': 144_paper_clip
'145': 145_parachute
'146': 146_parking_meter
'147': 147_parrot
'148': 148_pear
'149': 149_pen
'150': 150_penguin
'151': 151_person_sitting
'152': 152_person_walking
'153': 153_piano
'154': 154_pickup_truck
'155': 155_pig
'156': 156_pigeon
'157': 157_pineapple
'158': 158_pipe_(for_smoking)
'159': 159_pizza
'160': 160_potted_plant
'161': 161_power_outlet
'162': 162_present
'163': 163_pretzel
'164': 164_pumpkin
'165': 165_purse
'166': 166_rabbit
'167': 167_race_car
'168': 168_radio
'169': 169_rainbow
'170': 170_revolver
'171': 171_rifle
'172': 172_rollerblades
'173': 173_rooster
'174': 174_sailboat
'175': 175_santa_claus
'176': 176_satellite
'177': 177_satellite_dish
'178': 178_saxophone
'179': 179_scissors
'180': 180_scorpion
'181': 181_screwdriver
'182': 182_sea_turtle
'183': 183_seagull
'184': 184_shark
'185': 185_sheep
'186': 186_ship
'187': 187_shoe
'188': 188_shovel
'189': 189_skateboard
'190': 190_skull
'191': 191_skyscraper
'192': 192_snail
'193': 193_snake
'194': 194_snowboard
'195': 195_snowman
'196': 196_socks
'197': 197_space_shuttle
'198': 198_speed-boat
'199': 199_spider
'200': 200_sponge_bob
'201': 201_spoon
'202': 202_squirrel
'203': 203_standing_bird
'204': 204_stapler
'205': 205_strawberry
'206': 206_streetlight
'207': 207_submarine
'208': 208_suitcase
'209': 209_sun
'210': 210_suv
'211': 211_swan
'212': 212_sword
'213': 213_syringe
'214': 214_t-shirt
'215': 215_table
'216': 216_tablelamp
'217': 217_teacup
'218': 218_teapot
'219': 219_teddy-bear
'220': 220_telephone
'221': 221_tennis-racket
'222': 222_tent
'223': 223_tiger
'224': 224_tire
'225': 225_toilet
'226': 226_tomato
'227': 227_tooth
'228': 228_toothbrush
'229': 229_tractor
'230': 230_traffic_light
'231': 231_train
'232': 232_tree
'233': 233_trombone
'234': 234_trousers
'235': 235_truck
'236': 236_trumpet
'237': 237_tv
'238': 238_umbrella
'239': 239_van
'240': 240_vase
'241': 241_violin
'242': 242_walkie_talkie
'243': 243_wheel
'244': 244_wheelbarrow
'245': 245_windmill
'246': 246_wine-bottle
'247': 247_wineglass
'248': 248_wrist-watch
'249': 249_zebra
'250': mistery_category
splits:
- name: validation
num_bytes: 9831424.368
num_examples: 324
download_size: 9713593
dataset_size: 9831424.368
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
---
|
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] |
qbourbon/pb_trainset-1
|
qbourbon
| 2023-11-25T12:38:11Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-25T12:37:50Z |
---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': 000_airplane
'1': 001_alarm_clock
'2': 002_angel
'3': 003_ant
'4': 004_apple
'5': 005_arm
'6': 006_armchair
'7': 007_ashtray
'8': 008_axe
'9': 009_backpack
'10': 010_banana
'11': 011_barn
'12': 012_baseball_bat
'13': 013_basket
'14': 014_bathtub
'15': 015_bear_(animal)
'16': 016_bed
'17': 017_bee
'18': 018_beer-mug
'19': 019_bell
'20': 020_bench
'21': 021_bicycle
'22': 022_binoculars
'23': 023_blimp
'24': 024_book
'25': 025_bookshelf
'26': 026_boomerang
'27': 027_bottle_opener
'28': 028_bowl
'29': 029_brain
'30': 030_bread
'31': 031_bridge
'32': 032_bulldozer
'33': 033_bus
'34': 034_bush
'35': 035_butterfly
'36': 036_cabinet
'37': 037_cactus
'38': 038_cake
'39': 039_calculator
'40': 040_camel
'41': 041_camera
'42': 042_candle
'43': 043_cannon
'44': 044_canoe
'45': 045_car_(sedan)
'46': 046_carrot
'47': 047_castle
'48': 048_cat
'49': 049_cell_phone
'50': 050_chair
'51': 051_chandelier
'52': 052_church
'53': 053_cigarette
'54': 054_cloud
'55': 055_comb
'56': 056_computer_monitor
'57': 057_computer-mouse
'58': 058_couch
'59': 059_cow
'60': 060_crab
'61': 061_crane_(machine)
'62': 062_crocodile
'63': 063_crown
'64': 064_cup
'65': 065_diamond
'66': 066_dog
'67': 067_dolphin
'68': 068_donut
'69': 069_door
'70': 070_door_handle
'71': 071_dragon
'72': 072_duck
'73': 073_ear
'74': 074_elephant
'75': 075_envelope
'76': 076_eye
'77': 077_eyeglasses
'78': 078_face
'79': 079_fan
'80': 080_feather
'81': 081_fire_hydrant
'82': 082_fish
'83': 083_flashlight
'84': 084_floor_lamp
'85': 085_flower_with_stem
'86': 086_flying_bird
'87': 087_flying_saucer
'88': 088_foot
'89': 089_fork
'90': 090_frog
'91': 091_frying-pan
'92': 092_giraffe
'93': 093_grapes
'94': 094_grenade
'95': 095_guitar
'96': 096_hamburger
'97': 097_hammer
'98': 098_hand
'99': 099_harp
'100': 100_hat
'101': 101_head
'102': 102_head-phones
'103': 103_hedgehog
'104': 104_helicopter
'105': 105_helmet
'106': 106_horse
'107': 107_hot_air_balloon
'108': 108_hot-dog
'109': 109_hourglass
'110': 110_house
'111': 111_human-skeleton
'112': 112_ice-cream-cone
'113': 113_ipod
'114': 114_kangaroo
'115': 115_key
'116': 116_keyboard
'117': 117_knife
'118': 118_ladder
'119': 119_laptop
'120': 120_leaf
'121': 121_lightbulb
'122': 122_lighter
'123': 123_lion
'124': 124_lobster
'125': 125_loudspeaker
'126': 126_mailbox
'127': 127_megaphone
'128': 128_mermaid
'129': 129_microphone
'130': 130_microscope
'131': 131_monkey
'132': 132_moon
'133': 133_mosquito
'134': 134_motorbike
'135': 135_mouse_(animal)
'136': 136_mouth
'137': 137_mug
'138': 138_mushroom
'139': 139_nose
'140': 140_octopus
'141': 141_owl
'142': 142_palm_tree
'143': 143_panda
'144': 144_paper_clip
'145': 145_parachute
'146': 146_parking_meter
'147': 147_parrot
'148': 148_pear
'149': 149_pen
'150': 150_penguin
'151': 151_person_sitting
'152': 152_person_walking
'153': 153_piano
'154': 154_pickup_truck
'155': 155_pig
'156': 156_pigeon
'157': 157_pineapple
'158': 158_pipe_(for_smoking)
'159': 159_pizza
'160': 160_potted_plant
'161': 161_power_outlet
'162': 162_present
'163': 163_pretzel
'164': 164_pumpkin
'165': 165_purse
'166': 166_rabbit
'167': 167_race_car
'168': 168_radio
'169': 169_rainbow
'170': 170_revolver
'171': 171_rifle
'172': 172_rollerblades
'173': 173_rooster
'174': 174_sailboat
'175': 175_santa_claus
'176': 176_satellite
'177': 177_satellite_dish
'178': 178_saxophone
'179': 179_scissors
'180': 180_scorpion
'181': 181_screwdriver
'182': 182_sea_turtle
'183': 183_seagull
'184': 184_shark
'185': 185_sheep
'186': 186_ship
'187': 187_shoe
'188': 188_shovel
'189': 189_skateboard
'190': 190_skull
'191': 191_skyscraper
'192': 192_snail
'193': 193_snake
'194': 194_snowboard
'195': 195_snowman
'196': 196_socks
'197': 197_space_shuttle
'198': 198_speed-boat
'199': 199_spider
'200': 200_sponge_bob
'201': 201_spoon
'202': 202_squirrel
'203': 203_standing_bird
'204': 204_stapler
'205': 205_strawberry
'206': 206_streetlight
'207': 207_submarine
'208': 208_suitcase
'209': 209_sun
'210': 210_suv
'211': 211_swan
'212': 212_sword
'213': 213_syringe
'214': 214_t-shirt
'215': 215_table
'216': 216_tablelamp
'217': 217_teacup
'218': 218_teapot
'219': 219_teddy-bear
'220': 220_telephone
'221': 221_tennis-racket
'222': 222_tent
'223': 223_tiger
'224': 224_tire
'225': 225_toilet
'226': 226_tomato
'227': 227_tooth
'228': 228_toothbrush
'229': 229_tractor
'230': 230_traffic_light
'231': 231_train
'232': 232_tree
'233': 233_trombone
'234': 234_trousers
'235': 235_truck
'236': 236_trumpet
'237': 237_tv
'238': 238_umbrella
'239': 239_van
'240': 240_vase
'241': 241_violin
'242': 242_walkie_talkie
'243': 243_wheel
'244': 244_wheelbarrow
'245': 245_windmill
'246': 246_wine-bottle
'247': 247_wineglass
'248': 248_wrist-watch
'249': 249_zebra
'250': mistery_category
splits:
- name: train
num_bytes: 35887531.19796168
num_examples: 1248
download_size: 36199765
dataset_size: 35887531.19796168
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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