datasetId
stringlengths 2
117
| author
stringlengths 2
42
⌀ | last_modified
unknown | downloads
int64 0
9.36M
| likes
int64 0
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| tags
sequence | task_categories
sequence | createdAt
unknown | card
stringlengths 19
1.01M
| embedding
sequence |
|---|---|---|---|---|---|---|---|---|---|
NobodyExistsOnTheInternet/OrcaSysmsg | NobodyExistsOnTheInternet | "2023-12-14T18:40:12Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2023-12-14T18:40:12Z" | ---
license: mit
---
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] |
natolambert/xstest-v2-copy | natolambert | "2023-12-14T19:17:11Z" | 0 | 2 | [
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"arxiv:2308.01263",
"region:us"
] | [
"conversational"
] | "2023-12-14T18:50:44Z" | ---
license: cc-by-4.0
dataset_info:
features:
- name: id
dtype: string
- name: type
dtype: string
- name: prompt
dtype: string
- name: completion
dtype: string
- name: annotation_1
dtype: string
- name: annotation_2
dtype: string
- name: agreement
dtype: bool
- name: final_label
dtype: string
splits:
- name: gpt4
num_bytes: 264757
num_examples: 450
- name: llama2new
num_bytes: 523074
num_examples: 450
- name: llama2orig
num_bytes: 476580
num_examples: 450
- name: mistralguard
num_bytes: 309478
num_examples: 450
- name: mistralinstruct
num_bytes: 377642
num_examples: 450
- name: prompts
num_bytes: 47890
num_examples: 450
download_size: 930253
dataset_size: 1999421
configs:
- config_name: default
data_files:
- split: gpt4
path: data/gpt4-*
- split: llama2new
path: data/llama2new-*
- split: llama2orig
path: data/llama2orig-*
- split: mistralguard
path: data/mistralguard-*
- split: mistralinstruct
path: data/mistralinstruct-*
- split: prompts
path: data/prompts-*
task_categories:
- conversational
language:
- en
size_categories:
- 1K<n<10K
---
# XSTest Dataset for Testing Exaggerated Safety
Note, this is an upload of the data found [here](https://github.com/paul-rottger/exaggerated-safety) for easier research use.
All credit to the authors of the [paper](https://arxiv.org/abs/2308.01263)
The test prompts are subject to Creative Commons Attribution 4.0 International license. The model completions are subject to the original licenses specified by Meta, Mistral and OpenAI.
### Loading the dataset
Use the following:
```
from datasets import load_dataset
dataset = load_dataset("natolambert/xstest-v2-copy)
prompts = dataset["prompts"] # select the correct subset(s)
```
The dataset is a `DatasetDict` with the following structure:
```
DatasetDict({
gpt4: Dataset({
features: ['id', 'type', 'prompt', 'completion', 'annotation_1', 'annotation_2', 'agreement', 'final_label'],
num_rows: 450
})
llama2new: Dataset({
features: ['id', 'type', 'prompt', 'completion', 'annotation_1', 'annotation_2', 'agreement', 'final_label'],
num_rows: 450
})
llama2orig: Dataset({
features: ['id', 'type', 'prompt', 'completion', 'annotation_1', 'annotation_2', 'agreement', 'final_label'],
num_rows: 450
})
mistralguard: Dataset({
features: ['id', 'type', 'prompt', 'completion', 'annotation_1', 'annotation_2', 'agreement', 'final_label'],
num_rows: 450
})
mistralinstruct: Dataset({
features: ['id', 'type', 'prompt', 'completion', 'annotation_1', 'annotation_2', 'agreement', 'final_label'],
num_rows: 450
})
})
```
The mapping for prompts is as follows (from the original below)
* `id_v1` removed,
* `id_v2` -> `id`
* empty column completion
* focus to annotation_1 and note to annotation_2
* empty `final_label`
```
prompts: Dataset({
features: ['id_v1', 'id_v2', 'type', 'prompt', 'focus', 'note'],
num_rows: 450
})
```
Please cite their work:
```
@misc{röttger2023xstest,
title={XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models},
author={Paul Röttger and Hannah Rose Kirk and Bertie Vidgen and Giuseppe Attanasio and Federico Bianchi and Dirk Hovy},
year={2023},
eprint={2308.01263},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
``` | [
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mpessoa/songs | mpessoa | "2023-12-14T18:52:57Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-14T18:52:08Z" | ---
license: apache-2.0
---
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gaizerick/dianav2 | gaizerick | "2023-12-14T18:56:11Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-14T18:54:53Z" | ---
license: openrail
---
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falbanese/US_Trump_2020_social_media | falbanese | "2023-12-14T19:55:02Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2023-12-14T19:14:08Z" | ---
license: mit
---
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ellonh/papi | ellonh | "2023-12-17T08:03:42Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-14T19:53:26Z" | ---
license: openrail
---
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adamo1139/AEZAKMI_v2 | adamo1139 | "2023-12-17T13:29:10Z" | 0 | 1 | [
"license:other",
"region:us"
] | null | "2023-12-14T20:15:40Z" | ---
license: other
license_name: other
license_link: LICENSE
---
## New things changed in v2
- added some samples from spicy 3.1
- removed samples that were sending a shiver down RPers spines!
- removed some more GPTslop like "Remember to always..."
- added some jokes and duplicated some samples with two system prompts - "A chat." and "A chat with uncensored assistant.", so that hopefully model connects those two and act more freely.
## New things 2023-12-17
I kneel. I don't like that we are using dataset format adopted from GPT, but it's pretty versatile. \
I added a jsonl in sharegpt format. \
I put in a script that I modified to do the conversion in this repo.
## Base information
This is dataset based on airoboros 2.2.1 with removed orca and gptslop samples. Models trained on this datasets are likely to hallucinate more than base airoboros since I also removed a lot of samples that made the model aware that it's not a human but an ai and it doesn't have physical body. The plus of that is that non-llama model trained on it should very rarely if ever issue a refusal. It also should sound more like a person than a sterile gpt-4. I can't guarantee for that to happen with llama 2 base models since they are pre-trained with gptslop and refusals. If you see a model that was trained on this dataset generating refusals, let me know and I will try to fix that. I removed jokes from airoboros 2.2.1 that I used as base and put in jokes from airoboros 2.2, as jokes from 2.2.1 were really lame.
Yi-34B 200K fine-tune on this dataset has been published, I don't think there was any interest in AEZAKMI Mistal v1, so I don't know if it makes sense to train one now. \
I will try to focus now on preparing DPO dataset that will decontaminate raw models that were trained on OpenAI data.
License: same as airoboros 2.2.1/airoboros 2.2/ spicy 3.1 | [
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beratcmn/instruction-turkish-poems | beratcmn | "2023-12-15T12:20:55Z" | 0 | 2 | [
"size_categories:1K<n<10K",
"language:tr",
"license:apache-2.0",
"region:us"
] | null | "2023-12-14T21:23:24Z" | ---
license: apache-2.0
language:
- tr
size_categories:
- 1K<n<10K
---
# Turkish poems for fine-tuning LLMs with instructions.
Instructions created with **Google's Gemini-Pro**.
Base dataset:
beratcmn/turkish-poems-cleaned
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daniel-gordon/biopharma-dive | daniel-gordon | "2023-12-14T21:36:36Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-14T21:23:45Z" | ---
license: apache-2.0
dataset_info:
features:
- name: sentence
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 381329.7472924188
num_examples: 1745
- name: validation
num_bytes: 21197.126353790612
num_examples: 97
- name: test
num_bytes: 21197.126353790612
num_examples: 97
download_size: 253861
dataset_size: 423724.00000000006
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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BangumiBase/rokudounoonnatachi | BangumiBase | "2023-12-14T23:13:08Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | null | "2023-12-14T21:26:03Z" | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Rokudou No Onna-tachi
This is the image base of bangumi Rokudou no Onna-tachi, we detected 31 characters, 3153 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 | 347 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 64 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 126 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 104 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 61 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 21 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 60 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 16 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 705 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 88 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 87 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 21 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 121 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 130 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 15 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 53 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 55 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 101 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 9 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 22 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 105 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 64 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 9 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 43 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 283 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 55 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 193 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 9 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 7 | [Download](28/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 29 | 6 | [Download](29/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| noise | 173 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
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gorkemsevinc/category-dialog | gorkemsevinc | "2023-12-14T22:01:59Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-14T22:01:56Z" | ---
dataset_info:
features:
- name: utterance
dtype: string
- name: category
dtype: string
- name: intent
dtype: string
splits:
- name: train
num_bytes: 748747
num_examples: 9712
download_size: 137346
dataset_size: 748747
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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gorkemsevinc/india-english-dialog | gorkemsevinc | "2023-12-14T22:03:49Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-14T22:03:46Z" | ---
dataset_info:
features:
- name: transcriptionData/content
dtype: string
- name: loudnessLevel
dtype: string
- name: primaryType
dtype: string
- name: language
dtype: string
splits:
- name: train
num_bytes: 7097
num_examples: 88
download_size: 5242
dataset_size: 7097
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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tonyassi/vogue-test | tonyassi | "2023-12-15T16:05:21Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-14T22:40:32Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': australia-resort-2020
'1': madrid-fall-2019
splits:
- name: train
num_bytes: 130222035.0
num_examples: 85
download_size: 130229794
dataset_size: 130222035.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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JinglesDados/AdelmoCase | JinglesDados | "2023-12-14T23:00:37Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-14T23:00:22Z" | ---
license: openrail
---
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huggingface/autotrain-data-8xid-g6rv-rkuc1 | huggingface | "2023-12-14T23:08:08Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-14T23:08:06Z" | Invalid username or password. | [
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huggingface/autotrain-data-8xid-g6rv-rkuc4 | huggingface | "2023-12-14T23:12:56Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-14T23:12:53Z" | Invalid username or password. | [
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Ediudo/sal | Ediudo | "2023-12-14T23:26:09Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-14T23:25:43Z" | ---
license: openrail
---
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divyjx/VideoLLaVA_dataset | divyjx | "2023-12-15T15:33:45Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-14T23:39:07Z" | ---
license: apache-2.0
---
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DanGoldBr/PTT-20230720-WA0159 | DanGoldBr | "2023-12-15T16:04:45Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-14T23:40:51Z" | ---
license: openrail
---
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Olivacker/vitachivoice | Olivacker | "2023-12-14T23:51:58Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-14T23:51:38Z" | ---
license: openrail
---
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kanishka/counterfactual_babylm_naan_num | kanishka | "2023-12-14T23:59:41Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-14T23:59:23Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 581830926
num_examples: 11632617
- name: validation
num_bytes: 56120230
num_examples: 1026747
download_size: 421688551
dataset_size: 637951156
---
# Dataset Card for "counterfactual_babylm_naan_num"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Caioba123flamengo/problems_youtuber | Caioba123flamengo | "2023-12-15T00:05:18Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-15T00:04:05Z" | ---
license: apache-2.0
---
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madhaviit/NHAtestCompany | madhaviit | "2023-12-15T00:23:51Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T00:23:49Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 13804037
num_examples: 10000
download_size: 5214471
dataset_size: 13804037
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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MonarchInit/dragon-ai-definition-evals | MonarchInit | "2023-12-15T01:22:41Z" | 0 | 1 | [
"license:cc0-1.0",
"doi:10.57967/hf/1486",
"region:us"
] | null | "2023-12-15T00:52:51Z" | ---
license: cc0-1.0
---
Results of expert evaluation on definitions generated by LLMs and ontology editors
See: https://github.com/monarch-initiative/dragon-ai-results
Although this dataset is partially prediction results, the expert evaluations form a dataset that could be used for new AI
tasks, specifically: Can we use AI to predict which definitions are accurate, concise, consistent, etc? | [
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Prarabdha/indian_cpi_rate | Prarabdha | "2023-12-15T01:09:19Z" | 0 | 1 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-15T00:56:08Z" | ---
license: apache-2.0
---
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We-Want-GPU/orca-alpaca-gpt4 | We-Want-GPU | "2023-12-15T01:41:12Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T01:41:01Z" | ---
dataset_info:
features:
- name: input
dtype: string
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 103279020
num_examples: 84183
download_size: 55144109
dataset_size: 103279020
---
# Dataset Card for "orca-alpaca-gpt4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Prarabdha/indian_financial_data | Prarabdha | "2023-12-15T01:52:41Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-15T01:48:21Z" | ---
license: apache-2.0
---
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DanGoldBr/PTT-20230720-WA015 | DanGoldBr | "2023-12-15T02:53:51Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-15T02:53:16Z" | ---
license: openrail
---
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MetalZuna/snap-framework-llm-eval | MetalZuna | "2023-12-15T03:12:31Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2023-12-15T03:11:16Z" | ---
license: mit
---
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Tippawan/test2-data-semi-p3 | Tippawan | "2023-12-15T05:29:48Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T03:17:03Z" | ---
dataset_info:
features:
- name: tokens
sequence: string
- name: ner_tags
sequence: int64
- name: prob
sequence: float64
- name: ifpass
sequence: int64
- name: pred
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 12517124
num_examples: 2890
download_size: 1228320
dataset_size: 12517124
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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Tippawan/test2-data-semi-trainulb-r4 | Tippawan | "2023-12-15T05:29:53Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T03:17:19Z" | ---
dataset_info:
features:
- name: tokens
sequence: string
- name: ner_tags
sequence: int64
- name: prob
sequence: float64
- name: ifpass
sequence: int64
- name: pred
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 238543796
num_examples: 35119
download_size: 29991040
dataset_size: 238543796
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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Davidyss/Leo_Lahan | Davidyss | "2023-12-15T18:23:41Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-15T03:33:36Z" | ---
license: openrail
---
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KAUE2006/PatatiPauloTeixeira | KAUE2006 | "2023-12-15T03:45:33Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-15T03:44:31Z" | ---
license: openrail
---
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KAUE2006/PatataJuniorRangel | KAUE2006 | "2023-12-15T03:46:54Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-15T03:46:17Z" | ---
license: openrail
---
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] |
tiennv/mmarco-passage-envi-corpus | tiennv | "2023-12-15T04:08:14Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T03:59:45Z" | ---
dataset_info:
features:
- name: id
dtype: int64
- name: title
dtype: string
- name: english
dtype: string
- name: vietnamese
dtype: string
splits:
- name: train
num_bytes: 7142588566
num_examples: 8841823
download_size: 3705975001
dataset_size: 7142588566
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "envi-marco-passage-corpus"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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zhengr/Automotive_Industry_Fault_Data_Set | zhengr | "2023-12-15T04:04:45Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-15T04:03:24Z" | ---
license: apache-2.0
---
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ryanhe312/STSSNet-AAAI2024 | ryanhe312 | "2023-12-15T04:28:47Z" | 0 | 0 | [
"license:afl-3.0",
"region:us"
] | null | "2023-12-15T04:28:46Z" | ---
license: afl-3.0
---
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DataStudio/OCR_RenderNoise_noRotation | DataStudio | "2023-12-15T04:42:37Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T04:40:51Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: dropout_horizontal
num_bytes: 317852727.0
num_examples: 20000
- name: dropout_rand
num_bytes: 314954751.0
num_examples: 20000
- name: dropout_vertical
num_bytes: 329365483.0
num_examples: 20000
- name: emboss
num_bytes: 325860685.0
num_examples: 20000
- name: enum
num_bytes: 325155840.0
num_examples: 20000
download_size: 1612269653
dataset_size: 1613189486.0
configs:
- config_name: default
data_files:
- split: dropout_horizontal
path: data/dropout_horizontal-*
- split: dropout_rand
path: data/dropout_rand-*
- split: dropout_vertical
path: data/dropout_vertical-*
- split: emboss
path: data/emboss-*
- split: enum
path: data/enum-*
---
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derek-thomas/processed-subset-bestofredditorupdates | derek-thomas | "2023-12-15T05:42:05Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T05:14:05Z" | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: content
dtype: string
- name: score
dtype: int64
- name: date_utc
dtype: timestamp[ns]
- name: title
dtype: string
- name: flair
dtype: string
- name: poster
dtype: string
- name: permalink
dtype: string
- name: new
dtype: bool
- name: updated
dtype: bool
- name: embedding
sequence: float64
splits:
- name: train
num_bytes: 1455311
num_examples: 100
download_size: 0
dataset_size: 1455311
---
# Dataset Card for "processed-subset-bestofredditorupdates"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Ediudo/mildo | Ediudo | "2023-12-15T06:22:41Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-15T06:22:20Z" | ---
license: openrail
---
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] |
deepghs/anime_real_cls | deepghs | "2023-12-16T09:00:02Z" | 0 | 0 | [
"task_categories:image-classification",
"size_categories:100K<n<1M",
"license:openrail",
"art",
"region:us"
] | [
"image-classification"
] | "2023-12-15T06:23:43Z" | ---
license: openrail
task_categories:
- image-classification
tags:
- art
size_categories:
- 100K<n<1M
---
This dataset is used for training models on a classification problem involving images from anime and real-world.
* Anime images: illustrations, manga, screenshots from anime series, and 3D modeling (e.g., Koikatsu, MikuMikuDance).
* Real images: photographs from the real world and realistic-style drawings.
| Version | Anime | Real |
|:-------:|:-----:|:-----:|
| v0 | 59707 | 59997 |
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AppleHarem/universal_bulin_azurlane | AppleHarem | "2023-12-15T07:14:51Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T07:14:49Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of universal_bulin (Azur Lane)
This is the dataset of universal_bulin (Azur Lane), containing 14 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 14 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 35 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 39 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 14 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 14 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 14 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 35 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 35 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 27 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 39 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 39 | [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/vanilla_arknights | AppleHarem | "2023-12-15T07:32:44Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T07:32:41Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of vanilla (Arknights)
This is the dataset of vanilla (Arknights), containing 30 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 30 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 65 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 68 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 30 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 30 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 30 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 65 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 65 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 31 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 68 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 68 | [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/cassin_azurlane | AppleHarem | "2023-12-15T08:05:52Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T08:05:48Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of cassin (Azur Lane)
This is the dataset of cassin (Azur Lane), containing 40 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 40 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 108 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 119 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 40 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 40 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 40 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 108 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 108 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 79 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 119 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 119 | [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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chitradrishti/fer2013 | chitradrishti | "2023-12-15T08:13:05Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2023-12-15T08:10:48Z" | ---
license: mit
---
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] |
perlthoughts/gefilte-fish | perlthoughts | "2023-12-16T02:04:37Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-15T08:12:12Z" | ---
license: apache-2.0
---
code
```python
# used when training samples do not include a system prompt.
DEFAULT_SYSTEM_PROMPT = "Below is an instruction that describes a task. Write a response that appropriately completes the request."
# did not add item to dataset if prompt or system prompt contains any of these bad words.
BAD_WORDS = [
"english", "translate", "russian", "chinese", "japanese", "spanish", "persian", "french", "german", "italian", "korean",
"arabic", "hindi", "portuguese", "turkish", "vietnamese", "indonesian", "thai", "polish", "dutch", "greek", "czech",
"romanian", "swedish", "danish", "finnish", "hungarian", "norwegian", "slovak", "slovenian", "lithuanian", "latvian",
"estonian", "bulgarian", "serbian", "ukrainian", "belarusian", "croatian", "bosnian", "macedonian", "albanian", "icelandic",
"irish", "welsh", "scottish", "latin", "esperanto", "hebrew", "yiddish", "afrikaans", "swahili", "zulu", "xhosa", "sotho",
"sesotho", "somali", "hausa", "igbo", "yoruba", "malay", "tagalog", "hawaiian", "maori", "mongolian", "tamil", "telugu",
"kannada", "gujarati", "marathi", "punjabi", "nepali", "sinhala", "khmer", "lao", "burmese", "tibetan", "georgian",
"azerbaijani", "kurdish", "armenian", "kazakh", "uzbek", "tajik", "kirghiz", "turkmen", "tatar", "bashkir", "chechen",
"chuvash", "ossetian", "moldavian", "moldovan"
]
# did not add item to dataset if prompt or system prompt contains any of these bad words.
BAD_WORDS = [
"english", "translate", "russian", "chinese", "japanese", "spanish", "persian", "french", "german", "italian", "korean",
"arabic", "hindi", "portuguese", "turkish", "vietnamese", "indonesian", "thai", "polish", "dutch", "greek", "czech",
"romanian", "swedish", "danish", "finnish", "hungarian", "norwegian", "slovak", "slovenian", "lithuanian", "latvian",
"estonian", "bulgarian", "serbian", "ukrainian", "belarusian", "croatian", "bosnian", "macedonian", "albanian", "icelandic",
"irish", "welsh", "scottish", "latin", "esperanto", "hebrew", "yiddish", "afrikaans", "swahili", "zulu", "xhosa", "sotho",
"sesotho", "somali", "hausa", "igbo", "yoruba", "malay", "tagalog", "hawaiian", "maori", "mongolian", "tamil", "telugu",
"kannada", "gujarati", "marathi", "punjabi", "nepali", "sinhala", "khmer", "lao", "burmese", "tibetan", "georgian",
"azerbaijani", "kurdish", "armenian", "kazakh", "uzbek", "tajik", "kirghiz", "turkmen", "tatar", "bashkir", "chechen",
"chuvash", "ossetian", "moldavian", "moldovan"
]
TOTAL_ITEMS = 100000
# all datasets used and the percentage/ratio of each from the total.
DATASETS = {
"migtissera/Synthia-v1.3": {
"ratio": 0.2, "set": "train",
"system": "system", "prompt": "instruction", "output": "response",
},
"meta-math/MetaMathQA": {
"ratio": 0.1, "set": "train",
"system": DEFAULT_SYSTEM_PROMPT, "prompt": "query", "output": "response",
},
"HuggingFaceH4/ultrafeedback_binarized": {
"ratio": 0.3, "set": "train_sft",
"system": DEFAULT_SYSTEM_PROMPT, "prompt": "prompt", "output": "get_assistant(chosen)",
},
"ehartford/dolphin": {
"ratio": 0.3, "set": "train",
"system": "instruction", "prompt": "input", "output": "output",
},
"Open-Orca/OpenOrca": {
"ratio": 0.1, "set": "train",
"system": "system_prompt", "prompt": "question", "output": "response",
},
}
``` | [
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AppleHarem/airi_bluearchive | AppleHarem | "2023-12-15T08:12:40Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T08:12:31Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of airi (Blue Archive)
This is the dataset of airi (Blue Archive), containing 79 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 79 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 212 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 243 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 79 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 79 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 79 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 212 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 212 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 176 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 243 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 243 | [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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torchgeo/tropical_cyclone | torchgeo | "2023-12-15T08:18:56Z" | 0 | 0 | [
"license:cc-by-4.0",
"region:us"
] | null | "2023-12-15T08:12:44Z" | ---
license: cc-by-4.0
---
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gorkemsevinc/filtered-data | gorkemsevinc | "2023-12-15T08:15:24Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T08:15:23Z" | ---
dataset_info:
features:
- name: Text
dtype: string
splits:
- name: train
num_bytes: 476131
num_examples: 1241
download_size: 276544
dataset_size: 476131
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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gorkemsevinc/modified-kaggle | gorkemsevinc | "2023-12-15T08:16:49Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T08:16:47Z" | ---
dataset_info:
features:
- name: MergedSelections
dtype: string
- name: Unselected
dtype: string
- name: Selected
dtype: string
splits:
- name: train
num_bytes: 12748563
num_examples: 32000
download_size: 7484146
dataset_size: 12748563
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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chitradrishti/AADB | chitradrishti | "2023-12-15T08:22:59Z" | 0 | 0 | [
"license:unknown",
"region:us"
] | null | "2023-12-15T08:19:15Z" | ---
license: unknown
---
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AppleHarem/downes_azurlane | AppleHarem | "2023-12-15T08:24:36Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T08:24:34Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of downes (Azur Lane)
This is the dataset of downes (Azur Lane), containing 15 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 15 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 41 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 43 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 15 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 15 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 15 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 41 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 41 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 32 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 43 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 43 | [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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chitradrishti/LAMEM | chitradrishti | "2023-12-15T08:52:15Z" | 0 | 0 | [
"license:unknown",
"region:us"
] | null | "2023-12-15T08:25:47Z" | ---
license: unknown
---
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Ram07/setxe-d-1-bb | Ram07 | "2023-12-15T21:20:45Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2023-12-15T08:31:59Z" | ---
license: mit
---
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gorkemsevinc/combined-data | gorkemsevinc | "2023-12-15T08:45:11Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T08:45:10Z" | ---
dataset_info:
features:
- name: description
dtype: string
- name: dialogue
dtype: string
splits:
- name: train
num_bytes: 121998
num_examples: 463
download_size: 52774
dataset_size: 121998
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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DragonLine/ksponspeech_eval_clean_test | DragonLine | "2023-12-15T08:51:50Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T08:51:29Z" | ---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: transcripts
dtype: string
splits:
- name: test
num_bytes: 312184754.0
num_examples: 3000
download_size: 300067345
dataset_size: 312184754.0
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
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AppleHarem/maury_azurlane | AppleHarem | "2023-12-15T08:55:26Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T08:55:24Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of maury (Azur Lane)
This is the dataset of maury (Azur Lane), containing 18 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 18 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 45 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 45 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 18 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 18 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 18 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 45 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 45 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 21 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 45 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 45 | [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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invmodel/qa-invgrid-4 | invmodel | "2023-12-15T08:56:40Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T08:56:25Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
struct:
- name: gt_parse
list:
- name: question
dtype: string
- name: answer
dtype: string
- name: pixel_values
sequence:
sequence:
sequence: float32
- name: labels
sequence: int64
- name: target_sequence
dtype: string
splits:
- name: train
num_bytes: 816349208.4
num_examples: 90
- name: test
num_bytes: 90705467.6
num_examples: 10
download_size: 89773349
dataset_size: 907054676.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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AppleHarem/charles_ausburne_azurlane | AppleHarem | "2023-12-15T09:10:43Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T09:10:42Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of charles_ausburne (Azur Lane)
This is the dataset of charles_ausburne (Azur Lane), containing 12 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 12 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 30 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 31 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 12 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 12 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 12 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 30 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 30 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 12 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 31 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 31 | [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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invmodel/qa-invgrid-5 | invmodel | "2023-12-15T09:14:54Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T09:14:40Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
struct:
- name: gt_parse
list:
- name: question
dtype: string
- name: answer
dtype: string
- name: pixel_values
sequence:
sequence:
sequence: float32
- name: labels
sequence: int64
- name: target_sequence
dtype: string
splits:
- name: train
num_bytes: 816349208.4
num_examples: 90
- name: test
num_bytes: 90705467.6
num_examples: 10
download_size: 89805128
dataset_size: 907054676.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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Nabarajsub/nepali_image_captioning | Nabarajsub | "2023-12-15T09:20:17Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2023-12-15T09:20:17Z" | ---
license: mit
---
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roa7n/patched_test_f_ATCaseOTCase_ps_40_preds_v2023d | roa7n | "2023-12-15T09:22:48Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T09:22:45Z" | ---
dataset_info:
features:
- name: id
dtype: string
- name: sequence_str
dtype: string
- name: label
dtype: int64
- name: m1_preds
dtype: float32
splits:
- name: train
num_bytes: 48235460
num_examples: 130287
download_size: 5180942
dataset_size: 48235460
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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egecandrsn/book_recommendation | egecandrsn | "2023-12-15T14:46:34Z" | 0 | 0 | [
"license:unknown",
"region:us"
] | null | "2023-12-15T09:34:17Z" | ---
license: unknown
---
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MathDG/DocLayNet-base-law_paragraphs_encoded_ml512 | MathDG | "2023-12-15T10:42:58Z" | 0 | 0 | [
"license:other",
"region:us"
] | null | "2023-12-15T09:34:49Z" | ---
license: other
license_name: other
license_link: LICENSE
dataset_info:
features:
- name: page_hash
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: normalized_bboxes
sequence:
sequence: int64
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 43899968
num_examples: 1744
- name: validation
num_bytes: 5411980
num_examples: 215
- name: test
num_bytes: 3373048
num_examples: 134
download_size: 1371852
dataset_size: 52684996
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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AppleHarem/foote_azurlane | AppleHarem | "2023-12-15T09:44:38Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T09:44:36Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of foote (Azur Lane)
This is the dataset of foote (Azur Lane), containing 26 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 26 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 69 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 81 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 26 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 26 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 26 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 69 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 69 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 43 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 81 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 81 | [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/plume_arknights | AppleHarem | "2023-12-15T09:51:11Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T09:51:03Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of plume (Arknights)
This is the dataset of plume (Arknights), containing 131 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 131 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 335 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 356 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 131 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 131 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 131 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 335 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 335 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 252 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 356 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 356 | [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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Mike0307/nli-zh-tw-multilingual | Mike0307 | "2023-12-15T09:57:34Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T09:57:20Z" | ---
dataset_info:
features:
- name: text1
dtype: string
- name: text2
dtype: string
- name: label
dtype: float64
splits:
- name: train
num_bytes: 34024607
num_examples: 96616
- name: validate
num_bytes: 4161125
num_examples: 12071
- name: test
num_bytes: 4235537
num_examples: 12140
download_size: 33528119
dataset_size: 42421269
---
# Dataset Card for "nli-zh-tw-multilingual"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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yi-ching/common_voice_13_0_hi_pseudo_labelled_small | yi-ching | "2023-12-15T10:47:41Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T10:15:59Z" | ---
dataset_info:
config_name: hi
features:
- name: client_id
dtype: string
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: up_votes
dtype: int64
- name: down_votes
dtype: int64
- name: age
dtype: string
- name: gender
dtype: string
- name: accent
dtype: string
- name: locale
dtype: string
- name: segment
dtype: string
- name: variant
dtype: string
- name: whisper_transcript
sequence: int64
splits:
- name: train
num_bytes: 133729785.934
num_examples: 4479
- name: validation
num_bytes: 67385749.935
num_examples: 2281
- name: test
num_bytes: 103020874.039
num_examples: 2947
download_size: 269359933
dataset_size: 304136409.908
configs:
- config_name: hi
data_files:
- split: train
path: hi/train-*
- split: validation
path: hi/validation-*
- split: test
path: hi/test-*
---
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invmodel/qa-invgrid-6 | invmodel | "2023-12-15T10:34:15Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T10:24:24Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
struct:
- name: gt_parse
list:
- name: question
dtype: string
- name: answer
dtype: string
- name: pixel_values
sequence:
sequence:
sequence: float32
- name: labels
sequence: int64
- name: target_sequence
dtype: string
splits:
- name: train
num_bytes: 1224066572.1
num_examples: 135
- name: test
num_bytes: 136007396.9
num_examples: 15
download_size: 134352071
dataset_size: 1360073969.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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jbilcke-hf/ai-tube-cooking-llama | jbilcke-hf | "2023-12-15T17:53:30Z" | 0 | 0 | [
"license:cc-by-nc-4.0",
"region:us"
] | null | "2023-12-15T10:50:55Z" | ---
license: cc-by-nc-4.0
pretty_name: Cooking Llama
---
## Description
Cooking Llama is a fun channel to learn about cooking!
## Model
SVD
## Voice
Cloée
# Tags
- Cooking
# Style
Recipe, kitchen, instagram, delicious, professional
# Music
melodic balearic deep house
## Prompt
A channel of various cooking tutorials featuring a llama who does all the cooking.
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jbilcke-hf/ai-tube-llama-papers | jbilcke-hf | "2023-12-15T17:58:47Z" | 0 | 0 | [
"license:cc-by-nc-4.0",
"region:us"
] | null | "2023-12-15T10:51:15Z" | ---
license: cc-by-nc-4.0
pretty_name: Llama Papers
---
## Description
Follow me to learn about all the latest scientific papers!
## Model
SVD
## Voice
Julian
# Tags
- Science
- Education
# Style
influencer, professional
# Music
melodic balearic deep house
## Prompt
A channel where a Llama will explain scientific papers, condensed into a few minutes, to make them accessible to non-scientific audiences.
The typical layout should explain the context, the paper's idea, equivalent work, and why the paper is new, and the possible applications, all in about 2 to 3 minutes or very accessible and didactic explanations.
Imagine the audience are young people, and use simple words.
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] |
balzanilo/dialogs-mtl-dataset | balzanilo | "2023-12-15T10:51:54Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T10:51:51Z" | ---
dataset_info:
features:
- name: utterances
dtype: string
- name: label
dtype: string
- name: task
dtype: string
splits:
- name: train
num_bytes: 3146785
num_examples: 6400
- name: test
num_bytes: 397819
num_examples: 800
- name: eval
num_bytes: 414337
num_examples: 800
download_size: 1081192
dataset_size: 3958941
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: eval
path: data/eval-*
---
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OussamaFajrE/GherkinSyntax | OussamaFajrE | "2023-12-15T12:17:51Z" | 0 | 0 | [
"size_categories:n<1K",
"license:mit",
"region:us"
] | null | "2023-12-15T11:03:40Z" | ---
license: mit
size_categories:
- n<1K
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PFEE-TxE/data_augmented | PFEE-TxE | "2023-12-15T11:04:48Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2023-12-15T11:04:48Z" | ---
license: mit
---
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cambridgeltl/multi3woz | cambridgeltl | "2023-12-15T11:09:50Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2023-12-15T11:09:50Z" | ---
license: mit
---
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AppleHarem/sims_azurlane | AppleHarem | "2023-12-15T11:12:33Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T11:12:28Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of sims (Azur Lane)
This is the dataset of sims (Azur Lane), containing 68 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 68 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 181 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 200 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 68 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 68 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 68 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 181 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 181 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 118 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 200 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 200 | [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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InBf4/mt_lora_23 | InBf4 | "2023-12-15T12:21:28Z" | 0 | 0 | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:fr",
"license:cc",
"region:us"
] | [
"text-generation"
] | "2023-12-15T11:42:19Z" | ---
size_categories:
- 1K<n<10K
license: cc
task_categories:
- text-generation
language:
- fr
pretty_name: mt_2324
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perlthoughts/coding-prompts-small | perlthoughts | "2023-12-15T11:45:11Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-15T11:44:24Z" | ---
license: apache-2.0
---
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BangumiBase/machinedollwakizutsukanai | BangumiBase | "2023-12-15T12:59:55Z" | 0 | 0 | [
"size_categories:n<1K",
"license:mit",
"art",
"region:us"
] | null | "2023-12-15T11:52:15Z" | ---
license: mit
tags:
- art
size_categories:
- n<1K
---
# Bangumi Image Base of Machine-doll Wa Kizutsukanai
This is the image base of bangumi Machine-Doll wa Kizutsukanai, we detected 18 characters, 964 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 | 190 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 26 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 264 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 14 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 8 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 123 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 12 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 77 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 14 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 13 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 9 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 67 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 14 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 6 | [Download](13/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 14 | 11 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 13 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 29 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 74 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
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BangumiBase/koitouso | BangumiBase | "2023-12-15T13:10:36Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | null | "2023-12-15T11:52:50Z" | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Koi To Uso
This is the image base of bangumi Koi to Uso, we detected 22 characters, 1550 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 | 549 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 28 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 17 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 11 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 12 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 140 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 11 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 10 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 173 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 46 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 25 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 12 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 25 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 25 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 47 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 235 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 17 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 13 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 8 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 7 | [Download](19/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 20 | 28 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 111 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
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] |
BangumiBase/studentcouncilsdiscretion | BangumiBase | "2023-12-15T14:00:19Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | null | "2023-12-15T11:53:09Z" | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Student Council's Discretion
This is the image base of bangumi Student Council's Discretion, we detected 18 characters, 3613 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 | 491 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 887 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 26 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 473 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 64 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 75 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 45 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 31 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 14 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 83 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 162 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 444 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 18 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 10 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 708 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 12 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 9 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 61 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
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InBf4/mt_2024 | InBf4 | "2023-12-15T12:23:47Z" | 0 | 0 | [
"license:cc",
"region:us"
] | null | "2023-12-15T11:59:16Z" | ---
license: cc
---
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nobeljv123/mini-platypus | nobeljv123 | "2023-12-15T12:28:25Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T12:28:24Z" | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 4186564
num_examples: 1000
download_size: 2245925
dataset_size: 4186564
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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davanstrien/WikiMuTe | davanstrien | "2023-12-15T13:18:29Z" | 0 | 0 | [
"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | null | "2023-12-15T12:41:21Z" | ---
configs:
- config_name: default
data_files:
- split: train
path: all.csv
- config_name: self-filtering
data_files:
- split: train
path: filtered_sf.csv
- config_name: MusicCaps-filtering
data_files:
- split: train
path: filtered_mc.csv
license: cc-by-sa-3.0
language:
- en
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AppleHarem/melantha_arknights | AppleHarem | "2023-12-15T12:43:36Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T12:43:26Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of melantha (Arknights)
This is the dataset of melantha (Arknights), containing 166 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 166 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 384 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 415 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 166 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 166 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 166 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 384 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 384 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 202 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 415 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 415 | [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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ragnartd/lucas | ragnartd | "2023-12-15T12:55:10Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-15T12:51:49Z" | ---
license: openrail
---
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tellarin-ai/llm-japanese-dataset-vanilla-aya-format | tellarin-ai | "2023-12-16T09:41:53Z" | 0 | 0 | [
"language:ja",
"license:cc-by-sa-4.0",
"region:us"
] | null | "2023-12-15T13:03:17Z" | ---
license: cc-by-sa-4.0
language:
- ja
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MatsuoDochiai/Kadu_martins | MatsuoDochiai | "2023-12-15T13:05:08Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-15T13:04:24Z" | ---
license: openrail
---
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claudiotarbe/voices | claudiotarbe | "2023-12-15T13:10:08Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2023-12-15T13:09:19Z" | ---
license: mit
---
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ztrafas/segmentation-for-cataract-surgery | ztrafas | "2023-12-15T13:12:31Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-15T13:11:11Z" | ---
license: apache-2.0
---
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AppleHarem/beagle_arknights | AppleHarem | "2023-12-15T13:14:13Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T13:14:06Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of beagle (Arknights)
This is the dataset of beagle (Arknights), containing 35 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 35 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 77 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 85 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 35 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 35 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 35 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 77 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 77 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 45 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 85 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 85 | [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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alvarobartt/gists | alvarobartt | "2023-12-16T17:53:15Z" | 0 | 0 | [
"size_categories:n<1K",
"license:mit",
"code",
"region:us"
] | null | "2023-12-15T13:21:58Z" | ---
license: mit
tags:
- code
size_categories:
- n<1K
---
# Gists
This 🤗 dataset contains some of my GitHub Gists at https://gist.github.com/alvarobartt, ported here so that its cleaner
and easier to maintain.
## Available gists
* `causallm-to-hub.py`: to upload any `AutoModelForCausalLM` to the 🤗 Hub from a local path, useful after some LLM fine-tuning,
as sometimes `accelerate` gets stuck while pushing to the Hub, so I tend to do that in a separate process after each epoch has been
dumped into the disk.
* `dpo-qlora-4bit.py`: to fine-tune an `AutoModelForCausalLM` using Q-LoRA in 4-bit, in this case the fine-tuning is done using
🤗 `trl.DPOTrainer` built on top of `transformers` useful for intent alignment of LMs on low resources, ~80GB of VRAM. | [
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UnderstandLing/oasst1_nl_threads | UnderstandLing | "2023-12-15T13:43:12Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-15T13:26:47Z" | ---
license: apache-2.0
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 8660698
num_examples: 9845
- name: validation
num_bytes: 490206
num_examples: 517
download_size: 4717941
dataset_size: 9150904
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
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krishan-CSE/Unified_Dataset_BERTweet | krishan-CSE | "2023-12-15T14:04:43Z" | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2023-12-15T14:04:25Z" | ---
license: apache-2.0
---
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Cartinoe5930/KoRAE_long_12k | Cartinoe5930 | "2023-12-15T14:11:32Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T14:11:29Z" | ---
dataset_info:
features:
- name: source
dtype: string
- name: prompt
dtype: string
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 44976271
num_examples: 12473
download_size: 23983176
dataset_size: 44976271
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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Cartinoe5930/KoRAE_random_12k | Cartinoe5930 | "2023-12-15T14:15:21Z" | 0 | 0 | [
"region:us"
] | null | "2023-12-15T14:15:18Z" | ---
dataset_info:
features:
- name: source
dtype: string
- name: prompt
dtype: string
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 18608189.073363256
num_examples: 12473
download_size: 10173941
dataset_size: 18608189.073363256
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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AppleHarem/lava_arknights | AppleHarem | "2023-12-15T14:20:46Z" | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | [
"text-to-image"
] | "2023-12-15T14:20:41Z" | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of lava (Arknights)
This is the dataset of lava (Arknights), containing 63 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)).
This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI))
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 63 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 156 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 176 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 63 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 63 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 63 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 156 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 156 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 100 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 176 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 176 | [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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] |
lhoestq/pokemonData | lhoestq | "2023-12-15T15:15:23Z" | 0 | 0 | [
"language:en",
"license:cc0-1.0",
"pokemon",
"region:us"
] | null | "2023-12-15T15:10:33Z" | ---
configs:
- config_name: default
data_files: data/Pokemon.csv
license: cc0-1.0
language:
- en
tags:
- pokemon
---
# Dataset card for pokemonData
Dataset from https://github.com/lgreski/pokemonData listing all the Pokemons up to generation 9 and their characteristics:
- ID
- Name
- Form
- Type1
- Type2
- Total
- HP
- Attack
- Defense
- Sp. Atk
- Sp. Def
- Speed
- Generation | [
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1.0310747623443604,
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0.18246731162071228,
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0.8206350207328796,
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MatsuoDochiai/Kadu | MatsuoDochiai | "2023-12-15T15:13:26Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-15T15:12:03Z" | ---
license: openrail
---
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mikkaelmoura/myllakarvalho | mikkaelmoura | "2023-12-15T15:38:11Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2023-12-15T15:36:09Z" | ---
license: openrail
---
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