id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 68.7k ⌀ | citation stringlengths 0 10.7k ⌀ | cardData null | likes int64 0 3.55k | downloads int64 0 10.1M | card stringlengths 0 1.01M |
|---|---|---|---|---|---|---|---|---|---|
autoevaluate/autoeval-eval-squad-plain_text-865c05-93189145780 | 2023-10-05T13:39:19.000Z | [
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | Entry not found |
autoevaluate/autoeval-eval-squad-plain_text-865c05-93189145781 | 2023-10-05T13:39:28.000Z | [
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | Entry not found |
autoevaluate/autoeval-eval-squad-plain_text-865c05-93189145782 | 2023-10-05T13:39:35.000Z | [
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | Entry not found |
autoevaluate/autoeval-eval-glue-cola-b842f7-93190145783 | 2023-10-05T13:39:41.000Z | [
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | Entry not found |
autoevaluate/autoeval-eval-samsum-samsum-52efcb-93192145784 | 2023-10-05T13:41:45.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- samsum
eval_info:
task: summarization
model: sshleifer/distilbart-xsum-12-6
metrics: []
dataset_name: samsum
dataset_config: samsum
dataset_split: test
col_mapping:
text: dialogue
target: summary
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: sshleifer/distilbart-xsum-12-6
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@sasha](https://huggingface.co/sasha) for evaluating this model. |
autoevaluate/autoeval-eval-samsum-samsum-52efcb-93192145785 | 2023-10-05T13:42:14.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- samsum
eval_info:
task: summarization
model: sshleifer/distilbart-cnn-12-6
metrics: []
dataset_name: samsum
dataset_config: samsum
dataset_split: test
col_mapping:
text: dialogue
target: summary
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: sshleifer/distilbart-cnn-12-6
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@sasha](https://huggingface.co/sasha) for evaluating this model. |
berzanmikaili/gaussian-splatting | 2023-10-10T19:52:35.000Z | [
"region:us"
] | berzanmikaili | null | null | null | 0 | 0 | Entry not found |
wuming156/xxmix9realisticsdxl_v10 | 2023-10-08T07:04:10.000Z | [
"region:us"
] | wuming156 | null | null | null | 0 | 0 | Entry not found |
GiovanniHD/GiovanniVoice | 2023-10-05T14:13:00.000Z | [
"region:us"
] | GiovanniHD | null | null | null | 0 | 0 | Entry not found |
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-36c277-93197145789 | 2023-10-05T17:41:31.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: google/pegasus-large
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: test
col_mapping:
text: article
target: highlights
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: google/pegasus-large
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@sasha](https://huggingface.co/sasha) for evaluating this model. |
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-36c277-93197145790 | 2023-10-05T14:29:24.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: ainize/bart-base-cnn
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: test
col_mapping:
text: article
target: highlights
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: ainize/bart-base-cnn
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@sasha](https://huggingface.co/sasha) for evaluating this model. |
autoevaluate/autoeval-eval-xsum-default-0288cc-93201145793 | 2023-10-05T14:57:36.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: ainize/bart-base-cnn
metrics: []
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: ainize/bart-base-cnn
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@sasha](https://huggingface.co/sasha) for evaluating this model. |
autoevaluate/autoeval-eval-samsum-samsum-ccdc20-93203145794 | 2023-10-05T14:50:08.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- samsum
eval_info:
task: summarization
model: ainize/bart-base-cnn
metrics: []
dataset_name: samsum
dataset_config: samsum
dataset_split: test
col_mapping:
text: dialogue
target: summary
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: ainize/bart-base-cnn
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@sasha](https://huggingface.co/sasha) for evaluating this model. |
loubnabnl/test_kaggle_3 | 2023-10-05T15:12:14.000Z | [
"region:us"
] | loubnabnl | null | null | null | 0 | 0 | Entry not found |
thrshr/cc12m_part_1a | 2023-10-06T00:09:36.000Z | [
"region:us"
] | thrshr | null | null | null | 0 | 0 | Entry not found |
freddyaboulton/alpaca-csv | 2023-10-05T15:13:26.000Z | [
"region:us"
] | freddyaboulton | null | null | null | 0 | 0 | Entry not found |
thrshr/cc12m_part_1b | 2023-10-06T06:05:00.000Z | [
"region:us"
] | thrshr | null | null | null | 0 | 0 | Entry not found |
thrshr/cc12m_part_2a | 2023-10-05T15:18:27.000Z | [
"region:us"
] | thrshr | null | null | null | 0 | 0 | Entry not found |
thrshr/cc12m_part_2b | 2023-10-05T15:18:37.000Z | [
"region:us"
] | thrshr | null | null | null | 0 | 0 | Entry not found |
BangumiBase/kaifukujutsushinoyarinaoshi | 2023-10-05T16:33:19.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Kaifuku Jutsushi No Yarinaoshi
This is the image base of bangumi Kaifuku Jutsushi no Yarinaoshi, we detected 27 characters, 1301 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 | 63 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 8 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 77 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 12 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 185 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 39 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 48 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 7 | [Download](7/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 8 | 143 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 208 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 25 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 8 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 7 | [Download](12/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 13 | 22 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 15 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 36 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 20 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 23 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 17 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 71 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 7 | [Download](20/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 21 | 6 | [Download](21/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 22 | 7 | [Download](22/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 23 | 24 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 7 | [Download](24/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 25 | 5 | [Download](25/dataset.zip) |  |  |  |  |  | N/A | N/A | N/A |
| noise | 211 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
SCLRM/pdf_chatbot | 2023-10-09T09:17:22.000Z | [
"region:us"
] | SCLRM | null | null | null | 0 | 0 | Entry not found |
snirjhar-colab/probs50-val3d | 2023-10-05T15:50:08.000Z | [
"region:us"
] | snirjhar-colab | null | null | null | 0 | 0 | Entry not found |
basilepp19/dolly-15k-it | 2023-10-05T15:48:15.000Z | [
"license:cc-by-nc-sa-3.0",
"region:us"
] | basilepp19 | null | null | null | 0 | 0 | ---
license: cc-by-nc-sa-3.0
---
This dataset is obtained by automatically translating the dolly 15k dataset (https://huggingface.co/datasets/databricks/databricks-dolly-15k) in Italian using an open-source machine translation tool: https://pypi.org/project/argostranslate/ |
x1101/uraaaaa | 2023-10-05T15:52:01.000Z | [
"region:us"
] | x1101 | null | null | null | 0 | 0 | Entry not found |
loubnabnl/test_kaggle_2 | 2023-10-05T16:08:33.000Z | [
"region:us"
] | loubnabnl | null | null | null | 0 | 0 | Entry not found |
basilepp19/evalita2020-AH-instr | 2023-10-05T15:59:14.000Z | [
"license:cc-by-nd-4.0",
"region:us"
] | basilepp19 | null | null | null | 0 | 0 | ---
license: cc-by-nd-4.0
---
This dataset is obtained by transforming the training and test data of the two EVALITA tasks into an LLM prompt following a template.
The involved tasks are: AMI2020 (misogyny detection) and HASPEEDE-v2-2020 (hate-speech detection).
For the AMI task, we used the following template:
*instruction: Nel testo seguente si esprime odio contro le donne? Rispondi sì o no., input: \<text\>, output: \<sì/no\>.*
Similarly, for HASPEEDE we used:
*instruction: “Il testo seguente incita all’odio? Rispondi sì o no., input: \<text\>, output: \<sì/no\>.*
To fill these templates, we mapped the label "1" with the word "sì" and the label "0" with the word "no", \<text\> is just the sentence from the
dataset to classify. |
kye/all-lucidrain-code-python-tokenized-65536 | 2023-10-05T16:09:47.000Z | [
"license:mit",
"region:us"
] | kye | null | null | null | 1 | 0 | ---
license: mit
---
|
snirjhar-colab/pcqm | 2023-10-05T16:03:34.000Z | [
"region:us"
] | snirjhar-colab | null | null | null | 0 | 0 | Entry not found |
sleepyboyeyes/CWTIOOK | 2023-10-05T18:58:44.000Z | [
"region:us"
] | sleepyboyeyes | null | null | null | 0 | 0 | Entry not found |
BangumiBase/overlord | 2023-10-05T19:02:49.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Overlord
This is the image base of bangumi OVERLORD, we detected 65 characters, 4389 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 | 76 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 27 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 354 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 117 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 48 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 89 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 32 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 60 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 64 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 17 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 45 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 38 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 84 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 152 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 132 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 62 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 42 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 174 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 26 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 28 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 163 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 112 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 55 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 53 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 17 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 29 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 42 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 16 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 32 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 72 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 14 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 49 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 51 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 6 | [Download](33/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 34 | 70 | [Download](34/dataset.zip) |  |  |  |  |  |  |  |  |
| 35 | 11 | [Download](35/dataset.zip) |  |  |  |  |  |  |  |  |
| 36 | 113 | [Download](36/dataset.zip) |  |  |  |  |  |  |  |  |
| 37 | 12 | [Download](37/dataset.zip) |  |  |  |  |  |  |  |  |
| 38 | 8 | [Download](38/dataset.zip) |  |  |  |  |  |  |  |  |
| 39 | 11 | [Download](39/dataset.zip) |  |  |  |  |  |  |  |  |
| 40 | 167 | [Download](40/dataset.zip) |  |  |  |  |  |  |  |  |
| 41 | 13 | [Download](41/dataset.zip) |  |  |  |  |  |  |  |  |
| 42 | 64 | [Download](42/dataset.zip) |  |  |  |  |  |  |  |  |
| 43 | 53 | [Download](43/dataset.zip) |  |  |  |  |  |  |  |  |
| 44 | 6 | [Download](44/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 45 | 183 | [Download](45/dataset.zip) |  |  |  |  |  |  |  |  |
| 46 | 48 | [Download](46/dataset.zip) |  |  |  |  |  |  |  |  |
| 47 | 278 | [Download](47/dataset.zip) |  |  |  |  |  |  |  |  |
| 48 | 157 | [Download](48/dataset.zip) |  |  |  |  |  |  |  |  |
| 49 | 16 | [Download](49/dataset.zip) |  |  |  |  |  |  |  |  |
| 50 | 41 | [Download](50/dataset.zip) |  |  |  |  |  |  |  |  |
| 51 | 117 | [Download](51/dataset.zip) |  |  |  |  |  |  |  |  |
| 52 | 8 | [Download](52/dataset.zip) |  |  |  |  |  |  |  |  |
| 53 | 9 | [Download](53/dataset.zip) |  |  |  |  |  |  |  |  |
| 54 | 27 | [Download](54/dataset.zip) |  |  |  |  |  |  |  |  |
| 55 | 27 | [Download](55/dataset.zip) |  |  |  |  |  |  |  |  |
| 56 | 181 | [Download](56/dataset.zip) |  |  |  |  |  |  |  |  |
| 57 | 13 | [Download](57/dataset.zip) |  |  |  |  |  |  |  |  |
| 58 | 9 | [Download](58/dataset.zip) |  |  |  |  |  |  |  |  |
| 59 | 31 | [Download](59/dataset.zip) |  |  |  |  |  |  |  |  |
| 60 | 35 | [Download](60/dataset.zip) |  |  |  |  |  |  |  |  |
| 61 | 43 | [Download](61/dataset.zip) |  |  |  |  |  |  |  |  |
| 62 | 51 | [Download](62/dataset.zip) |  |  |  |  |  |  |  |  |
| 63 | 24 | [Download](63/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 185 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
BangumiBase/haiyorenyarukosan | 2023-10-05T17:50:57.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Haiyore! Nyaruko-san
This is the image base of bangumi Haiyore! Nyaruko-san, we detected 31 characters, 3214 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 | 271 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 848 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 50 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 28 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 63 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 120 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 17 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 443 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 20 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 19 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 784 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 23 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 27 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 11 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 12 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 99 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 9 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 55 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 12 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 7 | [Download](19/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 20 | 34 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 23 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 13 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 15 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 8 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 10 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 7 | [Download](26/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 27 | 8 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 10 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 16 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 152 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
Hikari0608/UIEB | 2023-10-05T16:34:37.000Z | [
"region:us"
] | Hikari0608 | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: raw
dtype: image
- name: gt
dtype: image
splits:
- name: train
num_bytes: 1351356308.0
num_examples: 800
- name: val
num_bytes: 136425185.0
num_examples: 90
download_size: 1487875235
dataset_size: 1487781493.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
---
# Dataset Card for "UIEB"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Hikari0608/Eval | 2023-10-05T16:23:07.000Z | [
"region:us"
] | Hikari0608 | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: raw
dtype: image
splits:
- name: UIEB
num_bytes: 31221694.0
num_examples: 60
download_size: 31218498
dataset_size: 31221694.0
configs:
- config_name: default
data_files:
- split: UIEB
path: data/UIEB-*
---
# Dataset Card for "Eval"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
BangumiBase/spiceandwolf | 2023-10-05T18:08:16.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Spice And Wolf
This is the image base of bangumi Spice and Wolf, we detected 21 characters, 2749 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 | 155 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 176 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 61 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 66 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 25 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 31 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 18 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 948 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 93 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 64 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 778 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 43 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 73 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 36 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 24 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 22 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 23 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 16 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 14 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 20 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 63 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
BangumiBase/lastexile | 2023-10-05T17:49:29.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Last Exile
This is the image base of bangumi LAST EXILE, we detected 29 characters, 2019 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 | 74 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 95 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 73 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 36 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 158 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 46 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 74 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 75 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 39 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 53 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 65 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 312 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 47 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 162 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 53 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 43 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 206 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 20 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 73 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 39 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 10 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 104 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 10 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 38 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 8 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 10 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 9 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 16 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 71 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
BangumiBase/shakugannoshana | 2023-10-05T21:01:17.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Shakugan No Shana
This is the image base of bangumi Shakugan no Shana, we detected 66 characters, 8549 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 | 744 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 928 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 91 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 41 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 39 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 170 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 1431 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 128 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 222 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 263 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 133 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 84 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 152 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 15 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 43 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 71 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 32 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 36 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 32 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 44 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 289 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 59 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 441 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 22 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 46 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 620 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 130 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 41 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 45 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 17 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 31 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 111 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 100 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 25 | [Download](33/dataset.zip) |  |  |  |  |  |  |  |  |
| 34 | 43 | [Download](34/dataset.zip) |  |  |  |  |  |  |  |  |
| 35 | 89 | [Download](35/dataset.zip) |  |  |  |  |  |  |  |  |
| 36 | 12 | [Download](36/dataset.zip) |  |  |  |  |  |  |  |  |
| 37 | 17 | [Download](37/dataset.zip) |  |  |  |  |  |  |  |  |
| 38 | 54 | [Download](38/dataset.zip) |  |  |  |  |  |  |  |  |
| 39 | 118 | [Download](39/dataset.zip) |  |  |  |  |  |  |  |  |
| 40 | 42 | [Download](40/dataset.zip) |  |  |  |  |  |  |  |  |
| 41 | 390 | [Download](41/dataset.zip) |  |  |  |  |  |  |  |  |
| 42 | 26 | [Download](42/dataset.zip) |  |  |  |  |  |  |  |  |
| 43 | 126 | [Download](43/dataset.zip) |  |  |  |  |  |  |  |  |
| 44 | 34 | [Download](44/dataset.zip) |  |  |  |  |  |  |  |  |
| 45 | 14 | [Download](45/dataset.zip) |  |  |  |  |  |  |  |  |
| 46 | 17 | [Download](46/dataset.zip) |  |  |  |  |  |  |  |  |
| 47 | 61 | [Download](47/dataset.zip) |  |  |  |  |  |  |  |  |
| 48 | 18 | [Download](48/dataset.zip) |  |  |  |  |  |  |  |  |
| 49 | 22 | [Download](49/dataset.zip) |  |  |  |  |  |  |  |  |
| 50 | 20 | [Download](50/dataset.zip) |  |  |  |  |  |  |  |  |
| 51 | 22 | [Download](51/dataset.zip) |  |  |  |  |  |  |  |  |
| 52 | 15 | [Download](52/dataset.zip) |  |  |  |  |  |  |  |  |
| 53 | 11 | [Download](53/dataset.zip) |  |  |  |  |  |  |  |  |
| 54 | 41 | [Download](54/dataset.zip) |  |  |  |  |  |  |  |  |
| 55 | 43 | [Download](55/dataset.zip) |  |  |  |  |  |  |  |  |
| 56 | 11 | [Download](56/dataset.zip) |  |  |  |  |  |  |  |  |
| 57 | 29 | [Download](57/dataset.zip) |  |  |  |  |  |  |  |  |
| 58 | 58 | [Download](58/dataset.zip) |  |  |  |  |  |  |  |  |
| 59 | 13 | [Download](59/dataset.zip) |  |  |  |  |  |  |  |  |
| 60 | 27 | [Download](60/dataset.zip) |  |  |  |  |  |  |  |  |
| 61 | 18 | [Download](61/dataset.zip) |  |  |  |  |  |  |  |  |
| 62 | 12 | [Download](62/dataset.zip) |  |  |  |  |  |  |  |  |
| 63 | 13 | [Download](63/dataset.zip) |  |  |  |  |  |  |  |  |
| 64 | 13 | [Download](64/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 444 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
ALBADDAWI/kaggle-llm-science-exam | 2023-10-05T16:51:08.000Z | [
"license:mit",
"region:us"
] | ALBADDAWI | null | null | null | 0 | 0 | ---
license: mit
---
|
sigel600/your-dataset-name | 2023-10-05T16:47:12.000Z | [
"region:us"
] | sigel600 | null | null | null | 0 | 0 | Entry not found |
lennardong/cells | 2023-10-05T17:07:38.000Z | [
"license:unknown",
"region:us"
] | lennardong | null | null | null | 0 | 0 | ---
license: unknown
---
|
Eu001/Shrek | 2023-10-06T15:52:27.000Z | [
"license:openrail",
"region:us"
] | Eu001 | null | null | null | 0 | 0 | ---
license: openrail
---
|
Eu001/Burro | 2023-10-06T15:11:07.000Z | [
"license:openrail",
"region:us"
] | Eu001 | null | null | null | 0 | 0 | ---
license: openrail
---
|
Eu001/Pernalonga | 2023-10-06T14:40:36.000Z | [
"license:openrail",
"region:us"
] | Eu001 | null | null | null | 0 | 0 | ---
license: openrail
---
|
Eu001/Mussoumano | 2023-10-06T10:47:50.000Z | [
"license:openrail",
"region:us"
] | Eu001 | null | null | null | 0 | 0 | ---
license: openrail
---
|
Eu001/Problems | 2023-10-06T11:15:45.000Z | [
"license:openrail",
"region:us"
] | Eu001 | null | null | null | 0 | 0 | ---
license: openrail
---
|
nlpkevinl/wikipedia_openai_embeddings | 2023-10-06T17:40:07.000Z | [
"region:us"
] | nlpkevinl | null | null | null | 0 | 0 | The embeddings for `text-embedding-ada-002` are stored in this repo.
|
AnikaBasu/TempDatasetViewer | 2023-10-05T17:31:05.000Z | [
"region:us"
] | AnikaBasu | null | null | null | 0 | 0 | Entry not found |
windsingai/Nothing_XL | 2023-10-08T11:01:25.000Z | [
"license:apache-2.0",
"region:us"
] | windsingai | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
lofcz/l2cs2 | 2023-10-05T17:48:29.000Z | [
"region:us"
] | lofcz | null | null | null | 0 | 0 | Entry not found |
BangumiBase/highschoolfleet | 2023-10-05T19:38:22.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of High School Fleet
This is the image base of bangumi High School Fleet, we detected 52 characters, 3269 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 | 10 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 95 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 44 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 16 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 49 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 77 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 32 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 26 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 63 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 22 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 439 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 32 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 118 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 14 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 38 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 44 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 31 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 58 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 234 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 32 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 53 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 80 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 67 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 312 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 64 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 37 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 83 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 12 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 47 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 27 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 58 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 196 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 17 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 31 | [Download](33/dataset.zip) |  |  |  |  |  |  |  |  |
| 34 | 55 | [Download](34/dataset.zip) |  |  |  |  |  |  |  |  |
| 35 | 38 | [Download](35/dataset.zip) |  |  |  |  |  |  |  |  |
| 36 | 24 | [Download](36/dataset.zip) |  |  |  |  |  |  |  |  |
| 37 | 43 | [Download](37/dataset.zip) |  |  |  |  |  |  |  |  |
| 38 | 51 | [Download](38/dataset.zip) |  |  |  |  |  |  |  |  |
| 39 | 44 | [Download](39/dataset.zip) |  |  |  |  |  |  |  |  |
| 40 | 12 | [Download](40/dataset.zip) |  |  |  |  |  |  |  |  |
| 41 | 10 | [Download](41/dataset.zip) |  |  |  |  |  |  |  |  |
| 42 | 35 | [Download](42/dataset.zip) |  |  |  |  |  |  |  |  |
| 43 | 8 | [Download](43/dataset.zip) |  |  |  |  |  |  |  |  |
| 44 | 24 | [Download](44/dataset.zip) |  |  |  |  |  |  |  |  |
| 45 | 7 | [Download](45/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 46 | 5 | [Download](46/dataset.zip) |  |  |  |  |  | N/A | N/A | N/A |
| 47 | 18 | [Download](47/dataset.zip) |  |  |  |  |  |  |  |  |
| 48 | 22 | [Download](48/dataset.zip) |  |  |  |  |  |  |  |  |
| 49 | 13 | [Download](49/dataset.zip) |  |  |  |  |  |  |  |  |
| 50 | 7 | [Download](50/dataset.zip) |  |  |  |  |  |  |  | N/A |
| noise | 295 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
kye/lucidrains-python-3-8192-mistral-7b | 2023-10-05T18:10:47.000Z | [
"region:us"
] | kye | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 167436216
num_examples: 4087
download_size: 38766555
dataset_size: 167436216
---
# Dataset Card for "lucidrains-python-3-8192-mistral-7b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Frixi/Luz_Noceda_Eng_6Mins | 2023-10-05T18:15:54.000Z | [
"license:openrail",
"region:us"
] | Frixi | null | null | null | 0 | 0 | ---
license: openrail
---
|
CATTAC/SCAD | 2023-10-05T20:17:30.000Z | [
"license:apache-2.0",
"region:us"
] | CATTAC | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
beron/mabinogi_lora_collection_ver.1 | 2023-10-05T19:13:11.000Z | [
"license:unknown",
"region:us"
] | beron | null | null | null | 0 | 0 | ---
license: unknown
---
|
SeyedAli/Persian-OCR | 2023-10-05T19:02:40.000Z | [
"license:mit",
"region:us"
] | SeyedAli | null | null | null | 0 | 0 | ---
license: mit
---
|
JoSw-14/chem-5000-10000 | 2023-10-05T19:06:07.000Z | [
"region:us"
] | JoSw-14 | null | null | null | 0 | 0 | Entry not found |
BangumiBase/tatenoyuushanonariagari | 2023-10-05T22:00:17.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Tate No Yuusha No Nariagari
This is the image base of bangumi Tate no Yuusha no Nariagari, we detected 50 characters, 4925 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 | 264 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 62 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 18 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 52 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 16 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 93 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 1176 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 89 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 29 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 111 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 33 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 47 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 35 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 33 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 42 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 24 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 13 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 170 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 244 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 82 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 17 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 87 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 19 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 21 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 9 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 746 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 113 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 192 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 66 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 105 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 23 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 13 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 11 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 17 | [Download](33/dataset.zip) |  |  |  |  |  |  |  |  |
| 34 | 53 | [Download](34/dataset.zip) |  |  |  |  |  |  |  |  |
| 35 | 9 | [Download](35/dataset.zip) |  |  |  |  |  |  |  |  |
| 36 | 13 | [Download](36/dataset.zip) |  |  |  |  |  |  |  |  |
| 37 | 17 | [Download](37/dataset.zip) |  |  |  |  |  |  |  |  |
| 38 | 49 | [Download](38/dataset.zip) |  |  |  |  |  |  |  |  |
| 39 | 13 | [Download](39/dataset.zip) |  |  |  |  |  |  |  |  |
| 40 | 12 | [Download](40/dataset.zip) |  |  |  |  |  |  |  |  |
| 41 | 8 | [Download](41/dataset.zip) |  |  |  |  |  |  |  |  |
| 42 | 170 | [Download](42/dataset.zip) |  |  |  |  |  |  |  |  |
| 43 | 6 | [Download](43/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 44 | 13 | [Download](44/dataset.zip) |  |  |  |  |  |  |  |  |
| 45 | 13 | [Download](45/dataset.zip) |  |  |  |  |  |  |  |  |
| 46 | 7 | [Download](46/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 47 | 5 | [Download](47/dataset.zip) |  |  |  |  |  | N/A | N/A | N/A |
| 48 | 46 | [Download](48/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 419 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
BangumiBase/shinmaimaounotestament | 2023-10-05T21:15:54.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Shinmai Maou No Testament
This is the image base of bangumi Shinmai Maou no Testament, we detected 35 characters, 3166 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 | 811 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 58 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 67 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 24 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 49 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 14 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 19 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 6 | [Download](7/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 8 | 9 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 11 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 31 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 58 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 120 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 97 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 22 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 11 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 43 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 27 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 14 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 541 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 12 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 11 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 9 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 20 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 9 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 6 | [Download](25/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 26 | 7 | [Download](26/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 27 | 348 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 26 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 43 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 11 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 40 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| 32 | 15 | [Download](32/dataset.zip) |  |  |  |  |  |  |  |  |
| 33 | 12 | [Download](33/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 565 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
BangumiBase/godeater | 2023-10-05T20:37:58.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of God Eater
This is the image base of bangumi GOD EATER, we detected 23 characters, 1589 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 | 31 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 6 | [Download](1/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 2 | 176 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 22 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 49 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 527 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 32 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 28 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 15 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 17 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 50 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 124 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 26 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 24 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 10 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 9 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 24 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 61 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 121 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 131 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 16 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 6 | [Download](21/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| noise | 84 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
Intuit-GenSRF/jigsaw-toxic-comment-train-es | 2023-10-05T19:27:34.000Z | [
"region:us"
] | Intuit-GenSRF | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: text
dtype: string
- name: labels
sequence: string
splits:
- name: train
num_bytes: 98022741
num_examples: 223378
download_size: 60601678
dataset_size: 98022741
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "jigsaw-train-es"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Intuit-GenSRF/jigsaw-toxic-comment-train-fr | 2023-10-05T19:27:43.000Z | [
"region:us"
] | Intuit-GenSRF | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: text
dtype: string
- name: labels
sequence: string
splits:
- name: train
num_bytes: 104185684
num_examples: 223394
download_size: 63513621
dataset_size: 104185684
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "jigsaw-train-fr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
vijayvaidya832/patient-survival | 2023-10-05T19:35:36.000Z | [
"region:us"
] | vijayvaidya832 | null | null | null | 0 | 0 | Entry not found |
autoevaluate/autoeval-eval-squad-plain_text-5877ef-93263145810 | 2023-10-05T20:17:21.000Z | [
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | Entry not found |
autoevaluate/autoeval-eval-squad-plain_text-7a9df8-93264145811 | 2023-10-05T20:17:24.000Z | [
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | Entry not found |
autoevaluate/autoeval-eval-squad-plain_text-7a9df8-93264145812 | 2023-10-05T20:17:30.000Z | [
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | Entry not found |
autoevaluate/autoeval-eval-squad-plain_text-7a9df8-93264145813 | 2023-10-05T20:17:37.000Z | [
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | Entry not found |
autoevaluate/autoeval-eval-squad-plain_text-7a9df8-93264145814 | 2023-10-05T20:17:44.000Z | [
"region:us"
] | autoevaluate | null | null | null | 0 | 0 | Entry not found |
acozma/fill50k | 2023-10-05T21:31:15.000Z | [
"region:us"
] | acozma | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: image
dtype: image
- name: conditioning_image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 451820630.0
num_examples: 50000
download_size: 323967497
dataset_size: 451820630.0
---
# Dataset Card for "fill50k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
CozmoGamingAI/something | 2023-10-05T20:35:50.000Z | [
"license:cc0-1.0",
"region:us"
] | CozmoGamingAI | null | null | null | 0 | 0 | ---
license: cc0-1.0
---
|
TheBossLevel123/minillama | 2023-10-05T20:40:11.000Z | [
"region:us"
] | TheBossLevel123 | null | null | null | 0 | 0 | Entry not found |
BangumiBase/sangatsunolion | 2023-10-05T23:19:37.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Sangatsu No Lion
This is the image base of bangumi Sangatsu no Lion, we detected 33 characters, 3830 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 | 1087 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 167 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 205 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 49 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 126 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 39 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 179 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 96 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 264 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 111 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 29 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 34 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 19 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 44 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 56 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 27 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 28 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 405 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 203 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 13 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 16 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 142 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 20 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 8 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 23 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 23 | [Download](25/dataset.zip) |  |  |  |  |  |  |  |  |
| 26 | 46 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| 27 | 55 | [Download](27/dataset.zip) |  |  |  |  |  |  |  |  |
| 28 | 9 | [Download](28/dataset.zip) |  |  |  |  |  |  |  |  |
| 29 | 8 | [Download](29/dataset.zip) |  |  |  |  |  |  |  |  |
| 30 | 39 | [Download](30/dataset.zip) |  |  |  |  |  |  |  |  |
| 31 | 9 | [Download](31/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 251 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
Arodrigo/llamadas_celular_voz_es | 2023-10-05T21:06:08.000Z | [
"region:us"
] | Arodrigo | null | null | null | 0 | 0 | Entry not found |
BangumiBase/mahoutsukainoyome | 2023-10-05T22:27:53.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | null | 0 | 0 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Mahou Tsukai No Yome
This is the image base of bangumi Mahou Tsukai no Yome, we detected 28 characters, 1731 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 | 899 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 20 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 11 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 44 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 39 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 19 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 19 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 17 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 20 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 37 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 20 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 15 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 13 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 14 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 85 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 14 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 34 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 60 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 58 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 5 | [Download](19/dataset.zip) |  |  |  |  |  | N/A | N/A | N/A |
| 20 | 19 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 13 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 18 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 12 | [Download](23/dataset.zip) |  |  |  |  |  |  |  |  |
| 24 | 16 | [Download](24/dataset.zip) |  |  |  |  |  |  |  |  |
| 25 | 7 | [Download](25/dataset.zip) |  |  |  |  |  |  |  | N/A |
| 26 | 21 | [Download](26/dataset.zip) |  |  |  |  |  |  |  |  |
| noise | 182 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
|
Admin08077/5 | 2023-10-05T21:28:28.000Z | [
"license:unknown",
"region:us"
] | Admin08077 | null | null | null | 0 | 0 | ---
license: unknown
---
|
nairaxo/shingazidja-lexicon | 2023-10-05T22:25:52.000Z | [
"region:us"
] | nairaxo | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: ID
dtype: int64
- name: Origine
dtype: string
- name: Classe Nominale
sequence: int64
- name: POS
dtype: string
- name: Mot
dtype: string
- name: Pluriel
dtype: string
- name: Traduction
dtype: string
- name: Polarity
dtype: float64
- name: Sentiment
dtype: string
- name: Mot (Simplified)
dtype: string
- name: Pluriel (Simplified)
dtype: string
splits:
- name: train
num_bytes: 585179
num_examples: 5714
download_size: 255370
dataset_size: 585179
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "shingazidja-lexicon"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
ddfff6677/f | 2023-10-09T08:41:02.000Z | [
"region:us"
] | ddfff6677 | null | null | null | 0 | 0 | Entry not found |
bslota/yay | 2023-10-05T22:30:47.000Z | [
"region:us"
] | bslota | null | null | null | 0 | 0 | Entry not found |
feynman-integrals-nn/t331ZZZM | 2023-10-05T23:31:55.000Z | [
"license:cc-by-4.0",
"region:us"
] | feynman-integrals-nn | null | null | null | 0 | 0 | ---
license: cc-by-4.0
---
# t331ZZZM
* [data](https://huggingface.co/datasets/feynman-integrals-nn/t331ZZZM)
* [source](https://gitlab.com/feynman-integrals-nn/feynman-integrals-nn/-/tree/main/t331ZZZM)
|
yasik/poly-opt-scam | 2023-10-07T23:06:01.000Z | [
"license:cc-by-nc-nd-4.0",
"region:us"
] | yasik | null | null | null | 0 | 0 | ---
license: cc-by-nc-nd-4.0
---
|
feynman-integrals-nn/heavycrossbox | 2023-10-05T23:30:41.000Z | [
"license:cc-by-4.0",
"region:us"
] | feynman-integrals-nn | null | null | null | 0 | 0 | ---
license: cc-by-4.0
---
# heavycrossbox
* [data](https://huggingface.co/datasets/feynman-integrals-nn/heavycrossbox)
* [source](https://gitlab.com/feynman-integrals-nn/feynman-integrals-nn/-/tree/main/heavycrossbox)
|
feynman-integrals-nn/topbox | 2023-10-05T23:30:47.000Z | [
"license:cc-by-4.0",
"region:us"
] | feynman-integrals-nn | null | null | null | 0 | 0 | ---
license: cc-by-4.0
---
# topbox
* [data](https://huggingface.co/datasets/feynman-integrals-nn/topbox)
* [source](https://gitlab.com/feynman-integrals-nn/feynman-integrals-nn/-/tree/main/topbox)
|
alessisheinman/hi | 2023-10-05T22:56:00.000Z | [
"region:us"
] | alessisheinman | null | null | null | 0 | 0 | Entry not found |
feynman-integrals-nn/box1m | 2023-10-06T10:12:45.000Z | [
"license:cc-by-4.0",
"region:us"
] | feynman-integrals-nn | null | null | null | 0 | 0 | ---
license: cc-by-4.0
---
# box1m
* [data](https://huggingface.co/datasets/feynman-integrals-nn/box1m)
* [source](https://gitlab.com/feynman-integrals-nn/feynman-integrals-nn/-/tree/main/box1m)
|
Intuit-GenSRF/jigsaw-unintended-bias | 2023-10-05T23:16:04.000Z | [
"region:us"
] | Intuit-GenSRF | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: text
dtype: string
- name: labels
sequence: string
splits:
- name: train
num_bytes: 613511925
num_examples: 1999516
download_size: 417235573
dataset_size: 613511925
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "jigsaw-unintended-bias"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
sakshat98/mistral-chat | 2023-10-05T23:34:31.000Z | [
"license:apache-2.0",
"region:us"
] | sakshat98 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
Reza8848/MUFFIN_68k | 2023-10-06T00:00:56.000Z | [
"size_categories:10K<n<100K",
"language:en",
"region:us"
] | Reza8848 | null | null | null | 1 | 0 | ---
language:
- en
size_categories:
- 10K<n<100K
---
This is the training dataset of **MUFFIN** (**Mu**lti-**F**aceted **In**structions).
There are a total of 1,463 input texts, where each input is equipped with multiple task instructions (~46.48 instructions per input), resulting in **68,014** training instances in total. the detailed statistics are shown as below:
<div style="text-align:center"><img src="https://cdn-uploads.huggingface.co/production/uploads/6434a6e8ea46c009904c617e/hcQjRr1TqX08C4tMnEQaZ.png" alt="statistics.png" width="500"/></div>
|
joey234/tweet_eval_affix_pos | 2023-10-05T23:46:04.000Z | [
"region:us"
] | joey234 | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': negative
'1': neutral
'2': positive
- name: words_with_affixes
sequence: string
splits:
- name: test
num_bytes: 74196
num_examples: 592
download_size: 47936
dataset_size: 74196
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
# Dataset Card for "tweet_eval_affix_pos"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
johndoe1100100101/nsfw_chat | 2023-10-05T23:52:14.000Z | [
"license:apache-2.0",
"region:us"
] | johndoe1100100101 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
BRVC/ZennyRVC | 2023-10-06T00:03:44.000Z | [
"license:openrail",
"region:us"
] | BRVC | null | null | null | 0 | 0 | ---
license: openrail
---
|
ConsciousEnergies/Theories | 2023-10-06T00:00:11.000Z | [
"license:lgpl-3.0",
"region:us"
] | ConsciousEnergies | null | null | null | 0 | 0 | ---
license: lgpl-3.0
---
|
Intuit-GenSRF/jigsaw-unintended-bias-train-es | 2023-10-06T00:14:53.000Z | [
"region:us"
] | Intuit-GenSRF | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: text
dtype: string
- name: labels
sequence: string
splits:
- name: train
num_bytes: 651762756
num_examples: 1900137
download_size: 421521895
dataset_size: 651762756
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "jigsaw-unintended-bias-train-es"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Intuit-GenSRF/jigsaw-unintended-bias-train-fr | 2023-10-06T00:16:34.000Z | [
"region:us"
] | Intuit-GenSRF | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: text
dtype: string
- name: labels
sequence: string
splits:
- name: train
num_bytes: 688756878
num_examples: 1900136
download_size: 439186843
dataset_size: 688756878
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "jigsaw-unintended-bias-train-fr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Butterdogfromneworleans/brandong5Models | 2023-10-09T23:35:22.000Z | [
"region:us"
] | Butterdogfromneworleans | null | null | null | 0 | 0 | Entry not found |
nian0448/data | 2023-10-09T02:40:47.000Z | [
"region:us"
] | nian0448 | null | null | null | 0 | 0 | Entry not found |
Kaludi/BDA594-fake-news-classification | 2023-10-06T01:59:55.000Z | [
"task_categories:text-classification",
"region:us"
] | Kaludi | null | null | null | 0 | 0 | ---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: test13
## Dataset Description
This dataset has been processed for project BDA594-fake-news-classification model.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"text": "MOSCOW\u2014Warning President Volodymyr Zelensky think carefully repercussions changing country\u2019s college football conference alignment, Russian president Vladimir Putin reportedly vowed retaliation Friday Ukraine ever become member Big Ten. \u201cThere absolutely reason Ukraine needs join Big Ten outside provoking Russia, move apply membership met harshest consequences,\u201d said Putin, pointing Ukraine\u2019s position neutral firewall countries long served geographical buffer Russia Big Ten members like Indiana University Rutgers. \u201cAny move even increase number games Ukraine Big Ten schools considered act aggression Russian state met proportionate force. universities stoking hostility Russia decades, caution Ukraine indulge thirst power. Frankly, Zelensky\u2019s good. know University Michigan cofounded Big Ten years ago vehicle nefarious interests NCAA Division sports, urge Ukraine become puppet [University Michigan athletic director] Alan Haller prolonged proxy season Big Ten schools Russia.\u201d press time, tensions rising Russia pulled ambassador Penn State. Watch Biden Asks Americans Come Sit Keep Company End CC Share Subtitles English Share Video Facebook Twitter Email Reddit Link view video Biden Asks Americans Come Sit Keep Company End Week's Viral News: September 22, 2023 Friday 2:58PM Study Finds LSD Highly Effective Ruining Nephew\u2019s Baptism Thursday 10:44AM",
"target": 0
},
{
"text": "Coast Guard searching 35yearold man fell overboard Carnival cruise ship near Florida Monday, according statement . man passenger Carnival Magic cruise ship, 186 miles east Jacksonville fell water. Security footage shows leaned railing room balcony fell water around 4:10 a.m. Monday, cruise corporation said statement. reported missing companion late Monday afternoon. Officials released identifying information man age. cruise ship released Coast Guard search rescue efforts continue way Norfolk, Virginia, scheduled arrive Tuesday. \"The Carnival Care Team providing support guest\u2019s companion traveling party board,\" Carnival said. Coast Guard using air water assets search passenger.",
"target": 1
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['fake', 'real'], id=None)"
}
```
### Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
| ------------ | ------------------- |
| train | 508 |
| valid | 128 |
|
dread1900/Anarchist-CSGO | 2023-10-06T01:40:08.000Z | [
"region:us"
] | dread1900 | null | null | null | 0 | 0 | Entry not found |
Intuit-GenSRF/jigsaw-multilingual-train-unique | 2023-10-06T01:48:06.000Z | [
"region:us"
] | Intuit-GenSRF | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: text
dtype: string
- name: labels
sequence: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 24247216
num_examples: 60299
download_size: 15570943
dataset_size: 24247216
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "jigsaw-multilingual-train-unique"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
daytoy-models/coronary-artery | 2023-10-06T02:37:59.000Z | [
"size_categories:10K<n<100K",
"language:en",
"license:lgpl-lr",
"chemistry",
"region:us"
] | daytoy-models | null | null | null | 0 | 0 | ---
license: lgpl-lr
language:
- en
tags:
- chemistry
size_categories:
- 10K<n<100K
--- |
ZhaoweiWang/SubeventWriter | 2023-10-06T02:58:42.000Z | [
"license:mit",
"region:us"
] | ZhaoweiWang | null | null | null | 0 | 0 | ---
license: mit
---
|
AlignmentLab-AI/caption_creation_0.8 | 2023-10-06T08:46:41.000Z | [
"region:us"
] | AlignmentLab-AI | null | null | null | 0 | 0 | Entry not found |
ZhaoweiWang/COPES | 2023-10-06T03:02:33.000Z | [
"region:us"
] | ZhaoweiWang | null | null | null | 0 | 0 | All commonsense causal data is in COPES.json.
The data is recorded in the format of json records with three fileds:
1. story: the story of 5 sentences sampled from RocStories.
2. cause_idx: the events that have a causal relation with the last event (indices start from 0).
3. res_idx: the result, just the last event.
The split_idx.json provide the indices for validation and testing data, indexing from 0.
|
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