id stringlengths 2 115 | author stringlengths 2 42 ⌀ | last_modified timestamp[us, tz=UTC] | downloads int64 0 8.87M | likes int64 0 3.84k | paperswithcode_id stringlengths 2 45 ⌀ | tags list | lastModified timestamp[us, tz=UTC] | createdAt stringlengths 24 24 | key stringclasses 1 value | created timestamp[us] | card stringlengths 1 1.01M | embedding list | library_name stringclasses 21 values | pipeline_tag stringclasses 27 values | mask_token null | card_data null | widget_data null | model_index null | config null | transformers_info null | spaces null | safetensors null | transformersInfo null | modelId stringlengths 5 111 ⌀ | embeddings list |
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bassie96code/train_test_valid_wettekst | bassie96code | 2023-11-15T13:50:22Z | 0 | 0 | null | [
"region:us"
] | 2023-11-15T13:50:22Z | 2023-11-15T13:37:39.000Z | 2023-11-15T13:37:39 | ---
dataset_info:
features:
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num_examples: 10
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configs:
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data_files:
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path: data/train-*
---
# Dataset Card for "train_test_valid_wettekst"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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xDAN2099/Midjourney-prompts-collection | xDAN2099 | 2023-11-15T13:45:29Z | 0 | 0 | null | [
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---
# Dataset Card for "Midjourney-prompts-collection"
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bassie96code/train_wettekst | bassie96code | 2023-11-15T13:43:00Z | 0 | 0 | null | [
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] | 2023-11-15T13:43:00Z | 2023-11-15T13:42:59.000Z | 2023-11-15T13:42:59 | ---
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---
# Dataset Card for "train_wettekst"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Starset/test-dataset | Starset | 2023-11-15T13:59:03Z | 0 | 0 | null | [
"language:zh",
"region:us"
] | 2023-11-15T13:59:03Z | 2023-11-15T13:45:18.000Z | 2023-11-15T13:45:18 | ---
language:
- zh
---
This is a dataset | [
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bassie96code/wettekst_train | bassie96code | 2023-11-23T09:31:46Z | 0 | 0 | null | [
"region:us"
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---
# Dataset Card for "wettekst_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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bassie96code/wettekst_valid | bassie96code | 2023-11-23T09:31:49Z | 0 | 0 | null | [
"region:us"
] | 2023-11-23T09:31:49Z | 2023-11-15T13:52:30.000Z | 2023-11-15T13:52:30 | ---
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path: data/train-*
---
# Dataset Card for "wettekst_valid"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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AsAHuman/ShanghaiTech | AsAHuman | 2023-11-15T14:06:47Z | 0 | 0 | null | [
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danaroth/harvard | danaroth | 2023-11-20T08:27:48Z | 0 | 0 | null | [
"license:unknown",
"region:us"
] | 2023-11-20T08:27:48Z | 2023-11-15T14:08:10.000Z | 2023-11-15T14:08:10 | ---
license: unknown
---
# Description
This is a database of fifty hyperspectral images of indoor and outdoor scenes under daylight illumination, and an additional twenty-five images under artificial and mixed illumination. The images were captured using a commercial hyperspectral camera (Nuance FX, CRI Inc) with an integrated liquid crystal tunable filter capable of acquiring a hyperspectral image by sequentially tuning the filter through a series of thirty-one narrow wavelength bands, each with approximately 10nm bandwidth and centered at steps of 10nm from 420nm to 720nm. The camera is equipped with an apo-chromatic lens and the images were captured with the smallest viable aperture setting, thus largely avoiding chromatic aberration. All the images are of static scenes, with labels to mask out regions with movement during exposure.
# Characteristics
This real-world hyperspectral images database is being made available for non-commercial research use. Please see the README.txt file in each archive for details.
It contains:
- `CZ_hsdb`: 50 Indoor & outdoor images under daylight (5.3GB)
- `CZ_hsdbi`: 27 Indoor images under artificial & mixed illumination (2.2GB)
# Credits
Originally available at:
https://vision.seas.harvard.edu/hyperspec/download.html
This database is available for non-commercial research use. The data is available as a series of MATLAB .mat files (one for each image) containing both the images data and masks. Since the size of the download is large (around 5.5 + 2.2 GB), the authors ask only minimize the number of times you download it directly from those servers.
If you use this data in an academic publication, kindly cite the following paper:
```
Ayan Chakrabarti and Todd Zickler, "Statistics of Real-World Hyperspectral Images," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
```
Bibtex:
```
@conference{chakrabarti2011statistics,
title={{Statistics of Real-World Hyperspectral Images}},
author={Chakrabarti, A. and Zickler, T.},
booktitle={Proc.~IEEE Conf.~on Computer Vision and Pattern Recognition (CVPR)},
pages={193--200},
year={2011}
}
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debarshi/culturax-hi-higgsfield | debarshi | 2023-11-16T11:04:41Z | 0 | 0 | null | [
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license: apache-2.0
---
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cce112/oijsjiojdsf | cce112 | 2023-11-15T14:13:25Z | 0 | 0 | null | [
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"region:us"
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license: apache-2.0
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cce112/1233 | cce112 | 2023-11-15T14:16:16Z | 0 | 0 | null | [
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"region:us"
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license: mit
---
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udmurtNLP/madlad-400-udmurt | udmurtNLP | 2023-11-15T14:29:24Z | 0 | 0 | null | [
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"language:udm",
"region:us"
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---
# Usage madlad-400-udmurt
```py
from datasets import load_dataset
dataset = load_dataset("udmurtNLP/madlad-400-udmurt")
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license: openrail
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license: apache-2.0
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license: mit
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pietrolesci/wikitext-103-raw-v1_gpt2-20k | pietrolesci | 2023-11-16T12:48:50Z | 0 | 0 | null | [
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path: surprisals/step_5999_train-*
---
# Dataset Card for "wikitext-103-raw-v1_gpt2-20k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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danaroth/icvl | danaroth | 2023-11-21T10:01:01Z | 0 | 0 | null | [
"license:unknown",
"region:us"
] | 2023-11-21T10:01:01Z | 2023-11-15T14:29:47.000Z | 2023-11-15T14:29:47 | ---
license: unknown
---
# Description
ICVL is a hyperspectral image dataset, collected by "[Sparse Recovery of Hyperspectral Signal from Natural RGB Images](http://link.springer.com/chapter/10.1007/978-3-319-46478-7_2)"
The database images were acquired using a Specim PS Kappa DX4 hyperspectral camera and a rotary stage for spatial scanning. At this time it contains 200 images and will continue to grow progressively.
Images were collected at 1392 $\times$ 1300 spatial resolution over 519 spectral bands (400-1,000nm at roughly 1.25nm increments). The .raw files contain raw out-of-camera data in ENVI format and .hdr files contain the headers required to decode them. For your convenience, .mat files are provided, downsampled to 31 spectral channels from 400nm to 700nm at 10nm increments.
The original dataset only contains clean images. For hyperspectral image denoising benchmarks, the testing datasets come from "3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising".
# Quick look
| | | | |
|---|---------|-----------|-------------|
|  | | | |
| 4cam_0411-1640-1 |4cam_0411-1648 |bguCAMP_0514-1659 |bguCAMP_0514-1711 |
|  | | | |
| bguCAMP_0514-1712 |bguCAMP_0514-1718 |bguCAMP_0514-1723 |bguCAMP_0514-1724 |
|  | | | |
| BGU_0403-1419-1 |bgu_0403-1439 |bgu_0403-1444 |bgu_0403-1459 |
|  | | | |
| bgu_0403-1511 |bgu_0403-1523 |bgu_0403-1525 |BGU_0522-1113-1 |
|  | | | |
| BGU_0522-1127 |BGU_0522-1136 |BGU_0522-1201 |BGU_0522-1203 |
|  | | | |
| BGU_0522-1211 |BGU_0522-1216 |BGU_0522-1217 |bulb_0822-0903 |
|  | | | |
| bulb_0822-0909 |CC_40D_2_1103-0917 |eve_0331-1549 |eve_0331-1551 |
|  | | | |
| eve_0331-1601 |eve_0331-1602 |eve_0331-1606 |eve_0331-1618 |
|  | | | |
| eve_0331-1632 |eve_0331-1633 |eve_0331-1646 |eve_0331-1647 |
|  | | | |
| eve_0331-1656 |eve_0331-1657 |eve_0331-1702 |eve_0331-1705 |
|  | | | |
| Flower_0325-1336 |gavyam_0823-0930 |gavyam_0823-0933 |gavyam_0823-0944 |
|  | | | |
| gavyam_0823-0945 |gavyam_0823-0950-1 |grf_0328-0949 |hill_0325-1219 |
|  | | | |
| hill_0325-1228 |hill_0325-1235 |hill_0325-1242 |IDS_COLORCHECK_1020-1215-1 |
|  | | | |
| IDS_COLORCHECK_1020-1223 |Labtest_0910-1502 |Labtest_0910-1504 |Labtest_0910-1506 |
|  | | | |
| Labtest_0910-1509 |Labtest_0910-1510 |Labtest_0910-1511 |Labtest_0910-1513 |
|  | | | |
| lehavim_0910-1600 |lehavim_0910-1602 |lehavim_0910-1605 |lehavim_0910-1607 |
|  | | | |
| lehavim_0910-1610 |Lehavim_0910-1622 |Lehavim_0910-1626 |Lehavim_0910-1627 |
|  | | | |
| Lehavim_0910-1629 |Lehavim_0910-1630 |Lehavim_0910-1633 |Lehavim_0910-1635 |
|  | | | |
| Lehavim_0910-1636 |Lehavim_0910-1640 |Lehavim_0910-1708 |Lehavim_0910-1716 |
|  | | | |
| Lehavim_0910-1717 |Lehavim_0910-1718 |Lehavim_0910-1725 |lst_0408-0950 |
|  | | | |
| lst_0408-1004 |lst_0408-1012 |Master20150112_f2_colorchecker |Master2900k |
|  | | | |
| Master5000K |Master5000K_2900K |Maz0326-1038 |maz_0326-1048 |
|  | | | |
| mor_0328-1209-2 |nachal_0823-1038 |nachal_0823-1040 |nachal_0823-1047 |
|  | | | |
| nachal_0823-1110 |nachal_0823-1117 |nachal_0823-1118 |nachal_0823-1121 |
|  | | | |
| nachal_0823-1127 |nachal_0823-1132 |nachal_0823-1144 |nachal_0823-1145 |
|  | | | |
| nachal_0823-1147 |nachal_0823-1149 |nachal_0823-1152 |nachal_0823-1210-4 |
|  | | | |
| nachal_0823-1213 |nachal_0823-1214 |nachal_0823-1217 |nachal_0823-1220 |
|  | | | |
| nachal_0823-1222 |nachal_0823-1223 |negev_0823-1003 |negev_0823-1005 |
|  | | | |
| objects_0924-1550 |objects_0924-1556 |objects_0924-1557 |objects_0924-1558 |
|  | | | |
| objects_0924-1600 |objects_0924-1601 |objects_0924-1602 |objects_0924-1605 |
|  | | | |
| objects_0924-1607 |objects_0924-1610 |objects_0924-1611 |objects_0924-1612 |
|  | | | |
| objects_0924-1614 |objects_0924-1617 |objects_0924-1619 |objects_0924-1620 |
|  | | | |
| objects_0924-1622 |objects_0924-1628 |objects_0924-1629 |objects_0924-1631 |
|  | | | |
| objects_0924-1632 |objects_0924-1633 |objects_0924-1634 |objects_0924-1636 |
|  | | | |
| objects_0924-1637 |objects_0924-1638 |objects_0924-1639 |objects_0924-1641 |
|  | | | |
| objects_0924-1645 |objects_0924-1648 |objects_0924-1650 |objects_0924-1652 |
|  | | | |
| omer_0331-1055 |omer_0331-1102 |omer_0331-1104 |omer_0331-1118 |
|  | | | |
| omer_0331-1119 |omer_0331-1130 |omer_0331-1131 |omer_0331-1135 |
|  | | | |
| omer_0331-1150 |omer_0331-1159 |peppers_0503-1308 |peppers_0503-1311 |
|  | | | |
| peppers_0503-1315 |peppers_0503-1330 |peppers_0503-1332 |pepper_0503-1228 |
|  | | | |
| pepper_0503-1229 |pepper_0503-1236 |plt_0411-1037 |plt_0411-1046 |
|  | | | |
| plt_0411-1116 |plt_0411-1155 |plt_0411-1200-1 |plt_0411-1207 |
|  | | | |
| plt_0411-1210 |plt_0411-1211 |plt_0411-1232-1 |prk_0328-0945 |
|  | | | |
| prk_0328-1025 |prk_0328-1031 |prk_0328-1034 |prk_0328-1037 |
|  | | | |
| prk_0328-1045 |rsh2_0406-1505 |rsh_0406-1343 |rsh_0406-1356 |
|  | | | |
| rsh_0406-1413 |rsh_0406-1427 |rsh_0406-1441-1 |rsh_0406-1443 |
|  | | | |
| sami_0331-1019 |sat_0406-1107 |sat_0406-1129 |sat_0406-1130 |
|  | | | |
| sat_0406-1157-1 |selfie_0822-0906 |strt_0331-1027 |tree_0822-0853 |
|  | | | |
| ulm_0328-1118 | | | |
# Credits
Dataset originally collected by ICVL from the webpage:
https://icvl.cs.bgu.ac.il/hyperspectral/
For questions, comments and technical assistance, please contact [iCVL@cs.bgu.acil](mailto:iCVL@cs.bgu.acil)
When used, fully or partially, please cite:
```
Arad and Ben-Shahar, Sparse Recovery of Hyperspectral Signal from Natural RGB Images, in the European Conference on Computer Vision, Amsterdam, The Netherlands, October 11–14, 2016
```
Bibtex:
```
@inproceedings{arad_and_ben_shahar_2016_ECCV,
title={Sparse Recovery of Hyperspectral Signal from Natural RGB Images},
author={Arad, Boaz and Ben-Shahar, Ohad},
booktitle={European Conference on Computer Vision},
pages={19--34},
year={2016},
organization={Springer}
}
```
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cce112/bibiy | cce112 | 2023-11-15T14:32:27Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | 2023-11-15T14:32:27Z | 2023-11-15T14:31:39.000Z | 2023-11-15T14:31:39 | ---
license: apache-2.0
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Paul0fernando/paulofernando | Paul0fernando | 2023-11-15T15:40:24Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | 2023-11-15T15:40:24Z | 2023-11-15T15:22:21.000Z | 2023-11-15T15:22:21 | ---
license: openrail
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harpreetsahota/five_shot_comparison | harpreetsahota | 2023-11-15T15:37:03Z | 0 | 0 | null | [
"region:us"
] | 2023-11-15T15:37:03Z | 2023-11-15T15:37:00.000Z | 2023-11-15T15:37:00 | ---
dataset_info:
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dtype: string
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---
# Dataset Card for "five_shot_comparison"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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SuaMaeDeCueca/EduardoSilva | SuaMaeDeCueca | 2023-11-15T16:09:51Z | 0 | 0 | null | [
"license:openrail",
"region:us"
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license: openrail
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MustafaSuleyman/bypasswaf | MustafaSuleyman | 2023-11-15T16:35:34Z | 0 | 0 | null | [
"license:cc0-1.0",
"ChatGPT",
"region:us"
] | 2023-11-15T16:35:34Z | 2023-11-15T16:16:40.000Z | 2023-11-15T16:16:40 | ---
license: cc0-1.0
tags:
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---
<p align="center"><h1>🧠 Awesome ChatGPT Prompts [CSV dataset]</h1></p>
This is a Dataset Repository of **Awesome ChatGPT Prompts**
**[View All Prompts on GitHub](https://github.com/f/awesome-chatgpt-prompts)**
# License
CC-0 | [
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nguyenthanhdo/patent_v3.1_vnhsge | nguyenthanhdo | 2023-11-15T16:18:21Z | 0 | 0 | null | [
"region:us"
] | 2023-11-15T16:18:21Z | 2023-11-15T16:18:10.000Z | 2023-11-15T16:18:10 | ---
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---
# Dataset Card for "patent_v3.1_vnhsge"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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jinaai/codesearchnet-queries | jinaai | 2023-11-15T16:19:08Z | 0 | 0 | null | [
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dataset_info:
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configs:
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---
# Dataset Card for "codesearchnet-queries"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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license: openrail
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rokset3/slim_pajama_chunk_1 | rokset3 | 2023-11-15T18:39:33Z | 0 | 0 | null | [
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configs:
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---
# Dataset Card for "slim_pajama_chunk_1"
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ESGBERT/action_500 | ESGBERT | 2023-11-16T08:32:30Z | 0 | 0 | null | [
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license: apache-2.0
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---
# Dataset Card for "slim_pajama_chunk_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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iqballx/indonesian_news_datasets | iqballx | 2023-11-15T19:32:32Z | 0 | 0 | null | [
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license: cc-by-nc-4.0
task_categories:
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- summarization
language:
- id
---
# Indonesian News Datasets
The dataset compiles information from seven prominent Indonesian news platforms: **Tempo, CNN Indonesia, CNBC Indonesia, Okezone, Suara, Kumparan, and JawaPos**. Each source contributes a diverse range of articles, collectively forming a comprehensive repository of Indonesian news content. The dataset consists of diverse columns: 'id' denotes the unique identifier for each news article, 'title' contains the headline, 'image' refers to the associated visual content, 'url' specifies the source link, 'content' encompasses the full text of the news article, 'embedding' houses the text embeddings extracted using the OpenAI `text-embedding-ada-002 model`, 'created_at' marks the creation timestamp, 'updated_at' signifies the last update timestamp, and 'summary' encapsulates the concise article summary generated via the ChatGPT API. These columns collectively represent a comprehensive set of information for each news article, facilitating various natural language processing tasks and analysis while providing enriched contextual details for effective exploration and modeling. | [
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license: apache-2.0
---
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Sorenson-AILab-VSL/dataset_demo | Sorenson-AILab-VSL | 2023-11-15T19:49:49Z | 0 | 0 | null | [
"region:us"
] | 2023-11-15T19:49:49Z | 2023-11-15T19:48:57.000Z | 2023-11-15T19:48:57 | ---
configs:
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---
# Dataset Card for "dataset_demo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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icaro23/Semove | icaro23 | 2023-11-15T19:54:08Z | 0 | 0 | null | [
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"region:us"
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license: apache-2.0
---
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StephanAkkerman/financial-tweets-crypto | StephanAkkerman | 2023-11-16T15:42:02Z | 0 | 0 | null | [
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] | 2023-11-16T15:42:02Z | 2023-11-15T19:56:31.000Z | 2023-11-15T19:56:31 | ---
license: mit
task_categories:
- text-classification
tags:
- tweet
- tweets
- finance
- crypto
- fintwit
---
# Financial Tweets - Cryptocurrency
This dataset is part of the scraped financial tweets that I collected from a variety of financial influencers on Twitter, all the datasets can be found here:
- Crypto: https://huggingface.co/datasets/StephanAkkerman/financial-tweets-crypto
- Stocks (and forex): https://huggingface.co/datasets/StephanAkkerman/financial-tweets-stocks
- Other (Tweet without cash tags): https://huggingface.co/datasets/StephanAkkerman/financial-tweets-other
## Data Fields
The data fields are as follows:
* `timestap`: The time the tweet was sent.
* `tweet_text`: All of the text of the tweet, including quoted tweets (prefixed with `>`).
* `tweet_url`: The URL of the tweet.
* `tweet_type`: The type of tweet, this can be tweet, retweet, or quote tweet.
* `price_of_ticker`: The price of the tickers mentioned.
* `change_of_ticker`: The 24h price change of the tickers.
* `tickers_mentioned`: All the tickers that are mentioned in the tweet.
* `category`: What type of category the tweet has, the suffix `_images` means that the tweet included an image.
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kushinm/WID_sym_human_vs_ai | kushinm | 2023-11-21T10:57:14Z | 0 | 0 | null | [
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configs:
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license: mit
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rokset3/slim_pajama_chunk_3 | rokset3 | 2023-11-15T21:45:35Z | 0 | 0 | null | [
"region:us"
] | 2023-11-15T21:45:35Z | 2023-11-15T20:15:45.000Z | 2023-11-15T20:15:45 | ---
dataset_info:
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---
# Dataset Card for "slim_pajama_chunk_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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SzymonSt2808/ProductionLikeTelemetryData | SzymonSt2808 | 2023-11-16T23:31:05Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T23:31:05Z | 2023-11-15T20:49:14.000Z | 2023-11-15T20:49:14 | Production like system dataset with telemetry data generated using dummy contenerized application and opentelemetry described by diagram below.
Dataset is used for training and evaluating applications latency and error rate anomaly detection and semantic log analysis.
---
license: mit
---
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shyamsubbu/java_ds2 | shyamsubbu | 2023-11-16T00:18:15Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T00:18:15Z | 2023-11-15T21:10:36.000Z | 2023-11-15T21:10:36 | ---
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---
# Dataset Card for "java_ds2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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MarkChen1214/SemCor | MarkChen1214 | 2023-11-15T22:10:42Z | 0 | 0 | null | [
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"license:mit",
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dataset_info:
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license: mit
task_categories:
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language:
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---
# Dataset Card for "SemCor – sense-tagged English corpus"
## Description
This dataset is derived from the [wsd_semcor dataset](https://huggingface.co/datasets/spdenisov/wsd_semcor), originally hosted on Hugging Face. It has been preprocessed for tasks related to Word Sense Disambiguation (WSD) and WordNet integration.
## Preprocessing
The original text data underwent the following preprocessing steps:
- Text splitting into individual words (lemmas).
- TF-IDF (Term Frequency-Inverse Document Frequency) analysis to understand the importance of words within the documents.
## Structure
The dataset contains:
- Lemmas: Words obtained from splitting the text data.
- TF-IDF values: Quantitative measures of word importance within the documents.
## Note
The number of elements in **Lemma** and **Lemma_tfidf** might not match. This is because **Lemma** is based on original dataset and might contain compound words, which might not be recognized by TF-IDF algorithm.
## Intended Use
This dataset is intended for use in WSD and WordNet integration tasks. It provides foundational data for natural language processing (NLP) research and applications, specifically focusing on understanding word meanings and contextual usage.
## Citation
Data sourced from [wsd_semcor dataset](https://huggingface.co/datasets/spdenisov/wsd_semcor) on Hugging Face.
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rokset3/slim_pajama_chunk_4 | rokset3 | 2023-11-15T23:16:25Z | 0 | 0 | null | [
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---
# Dataset Card for "slim_pajama_chunk_4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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ct123098/atomic-wiki-proposition | ct123098 | 2023-11-15T21:55:08Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | 2023-11-15T21:55:08Z | 2023-11-15T21:55:08.000Z | 2023-11-15T21:55:08 | ---
license: apache-2.0
---
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ct123098/atomic-wiki-sentence | ct123098 | 2023-11-15T21:55:30Z | 0 | 0 | null | [
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license: apache-2.0
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ct123098/atomic-wiki-passage | ct123098 | 2023-11-15T21:55:49Z | 0 | 0 | null | [
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license: apache-2.0
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311-data/2023 | 311-data | 2023-11-28T23:14:25Z | 0 | 0 | null | [
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license: gpl-3.0
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calico810/your-dataset-name | calico810 | 2023-11-15T22:08:31Z | 0 | 0 | null | [
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danielz01/IDTreeS | danielz01 | 2023-11-15T22:31:43Z | 0 | 0 | null | [
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dataset_info:
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---
# Dataset Card for "IDTreeS"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Guilherme34/Samantha_Her-GPT3.5_turbo | Guilherme34 | 2023-11-15T22:33:09Z | 0 | 0 | null | [
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vikcashew/S_VOICES | vikcashew | 2023-11-15T23:19:07Z | 0 | 0 | null | [
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license: apache-2.0
---
| [
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Kaue123456/PatataMarcosFiel | Kaue123456 | 2023-11-15T23:18:03Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | 2023-11-15T23:18:03Z | 2023-11-15T23:17:00.000Z | 2023-11-15T23:17:00 | ---
license: openrail
---
| [
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rokset3/slim_pajama_chunk_5 | rokset3 | 2023-11-15T23:26:55Z | 0 | 0 | null | [
"region:us"
] | 2023-11-15T23:26:55Z | 2023-11-15T23:17:49.000Z | 2023-11-15T23:17:49 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Pablao0948/Negan | Pablao0948 | 2023-11-15T23:21:55Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | 2023-11-15T23:21:55Z | 2023-11-15T23:19:07.000Z | 2023-11-15T23:19:07 | ---
license: openrail
---
| [
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jppo/Zoro | jppo | 2023-11-15T23:22:12Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | 2023-11-15T23:22:12Z | 2023-11-15T23:22:12.000Z | 2023-11-15T23:22:12 | ---
license: openrail
---
| [
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-0.0478260256350... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
universeTBD/arxiv-qa-astro-ph | universeTBD | 2023-11-15T23:22:53Z | 0 | 1 | null | [
"region:us"
] | 2023-11-15T23:22:53Z | 2023-11-15T23:22:48.000Z | 2023-11-15T23:22:48 | ---
dataset_info:
features:
- name: index
dtype: int64
- name: question
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 4108026
num_examples: 10356
download_size: 2402562
dataset_size: 4108026
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "arxiv-qa-astro-ph"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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shyamsubbu/java_opensource_code | shyamsubbu | 2023-11-16T00:21:48Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T00:21:48Z | 2023-11-16T00:21:48.000Z | 2023-11-16T00:21:48 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
windcrossroad/text-classification-chatGPT-100 | windcrossroad | 2023-11-16T00:39:45Z | 0 | 1 | null | [
"region:us"
] | 2023-11-16T00:39:45Z | 2023-11-16T00:24:48.000Z | 2023-11-16T00:24:48 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
shyamsubbu/java_open_ds | shyamsubbu | 2023-11-16T00:29:06Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T00:29:06Z | 2023-11-16T00:25:26.000Z | 2023-11-16T00:25:26 | ---
dataset_info:
features:
- name: index
dtype: int64
- name: repo_id
dtype: string
- name: file_path
dtype: string
- name: content
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1169201886
num_examples: 180000
download_size: 282068847
dataset_size: 1169201886
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "java_open_ds"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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kopyl/fucked-icons-dataset-1024 | kopyl | 2023-11-16T01:09:14Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T01:09:14Z | 2023-11-16T01:09:08.000Z | 2023-11-16T01:09:08 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
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dtype: image
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dtype: string
splits:
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num_bytes: 3914349.0
num_examples: 110
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num_examples: 1
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num_bytes: 811457.0
num_examples: 44
download_size: 3972613
dataset_size: 4759857.0
---
# Dataset Card for "icons-dataset-1024"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Haileeeeey/capstone_commodity_data | Haileeeeey | 2023-11-16T01:40:25Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T01:40:25Z | 2023-11-16T01:40:25.000Z | 2023-11-16T01:40:25 | Entry not found | [
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-... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
fimu-docproc-research/CIVQA-TesseractOCR-LayoutLM | fimu-docproc-research | 2023-11-21T20:45:53Z | 0 | 0 | null | [
"language:cs",
"license:mit",
"finance",
"region:us"
] | 2023-11-21T20:45:53Z | 2023-11-16T01:45:17.000Z | 2023-11-16T01:45:17 | ---
dataset_info:
features:
- name: input_ids
sequence: int64
- name: bbox
dtype:
array2_d:
shape:
- 512
- 4
dtype: int64
- name: attention_mask
sequence: int64
- name: image
dtype:
array3_d:
shape:
- 3
- 224
- 224
dtype: int64
- name: start_positions
dtype: int64
- name: end_positions
dtype: int64
- name: questions
dtype: string
- name: answers
dtype: string
splits:
- name: train
num_bytes: 198175471439
num_examples: 160645
- name: validation
num_bytes: 20009392368
num_examples: 16220
download_size: 826530358
dataset_size: 218184863807
language:
- cs
tags:
- finance
pretty_name: C
license: mit
---
# CIVQA TesseractOCR LayoutLM Dataset
The Czech Invoice Visual Question Answering dataset was created with Tesseract OCR and encoded for the LayoutLM.
The pre-encoded dataset can be found on this link: https://huggingface.co/datasets/fimu-docproc-research/CIVQA-TesseractOCR
All invoices used in this dataset were obtained from public sources. Over these invoices, we were focusing on 15 different entities, which are crucial for processing the invoices.
- Invoice number
- Variable symbol
- Specific symbol
- Constant symbol
- Bank code
- Account number
- ICO
- Total amount
- Invoice date
- Due date
- Name of supplier
- IBAN
- DIC
- QR code
- Supplier's address
The invoices included in this dataset were gathered from the internet. We understand that privacy is of utmost importance. Therefore, we sincerely apologise for any inconvenience caused by including your identifiable information in this dataset. If you have identified your data in this dataset and wish to have it removed from research purposes, we request you kindly to access the following URL: https://forms.gle/tUVJKoB22oeTncUD6
We profoundly appreciate your cooperation and understanding in this matter. | [
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0.0187951810657978... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
stanmalkinson199/TonyKayMitchell | stanmalkinson199 | 2023-11-16T01:53:35Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | 2023-11-16T01:53:35Z | 2023-11-16T01:52:36.000Z | 2023-11-16T01:52:36 | ---
license: openrail
---
| [
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cosminn82/bcl_nov15 | cosminn82 | 2023-11-16T01:56:36Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T01:56:36Z | 2023-11-16T01:56:09.000Z | 2023-11-16T01:56:09 | Entry not found | [
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-... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
stanmalkinson199/NerdieTonyMitchell | stanmalkinson199 | 2023-11-16T02:00:30Z | 0 | 0 | null | [
"license:openrail",
"region:us"
] | 2023-11-16T02:00:30Z | 2023-11-16T01:59:36.000Z | 2023-11-16T01:59:36 | ---
license: openrail
---
| [
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0.6529128551483154,
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0.23607441782951355,
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-0.0478255338966846... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ytuhg/hhhsd | ytuhg | 2023-11-16T02:32:28Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T02:32:28Z | 2023-11-16T01:59:37.000Z | 2023-11-16T01:59:37 | # 说明
下方为默认UUID，可自行添加环境变量修改
```
25bef25c-cbe4-431b-93b6-b39aa11c0a7e
```
# 部署
https://huggingface.co 注册账号，新建space，名称随意，选择docker，空白项目，选择public公开项目，上传文件，除了README.md，其他文件都上传。
修改start.sh里的哪吒参数，不需要哪吒可忽略，自动部署。
# 获取域名
域名形式：用户名-项目名.hf.space,例如我的用户名为aaa,项目名为bbb,那么域名为：aaa-bbb.hf.space。或者通过下图直接查看域名
# 节点配置如下
可以利用cf的workers套cdn加速配合优选ip或优选域名使用，反代代码如下，替换第6行中的地址。
```
export default {
async fetch(request, env) {
let url = new URL(request.url);
if (url.pathname.startsWith('/')) {
var arrStr = [
'aaaa.bbbbb.hf.space',
];
url.protocol = 'https:'
url.hostname = getRandomArray(arrStr)
let new_request = new Request(url, request);
return fetch(new_request);
}
return env.ASSETS.fetch(request);
},
};
function getRandomArray(array) {
const randomIndex = Math.floor(Math.random() * array.length);
return array[randomIndex];
}
```
| [
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ErhaChen/booth | ErhaChen | 2023-11-16T02:10:23Z | 0 | 0 | null | [
"task_categories:text-to-image",
"license:apache-2.0",
"booth",
"style",
"region:us"
] | 2023-11-16T02:10:23Z | 2023-11-16T02:07:29.000Z | 2023-11-16T02:07:29 | ---
license: apache-2.0
task_categories:
- text-to-image
tags:
- booth
- style
--- | [
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ezipe/talar | ezipe | 2023-11-23T00:01:38Z | 0 | 0 | null | [
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yiwang454/pixel | yiwang454 | 2023-11-16T03:15:57Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T03:15:57Z | 2023-11-16T03:08:43.000Z | 2023-11-16T03:08:43 | Entry not found | [
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-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
fredaa/test5 | fredaa | 2023-11-16T03:09:30Z | 0 | 0 | null | [
"license:mit",
"region:us"
] | 2023-11-16T03:09:30Z | 2023-11-16T03:09:00.000Z | 2023-11-16T03:09:00 | ---
license: mit
---
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zywGG/kjbibn | zywGG | 2023-11-16T03:13:14Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T03:13:14Z | 2023-11-16T03:13:14.000Z | 2023-11-16T03:13:14 | Entry not found | [
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-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ChengAoShen/emoji_with_text | ChengAoShen | 2023-11-16T03:31:46Z | 0 | 3 | null | [
"task_categories:text-to-image",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"art",
"region:us"
] | 2023-11-16T03:31:46Z | 2023-11-16T03:15:33.000Z | 2023-11-16T03:15:33 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 197767083.176
num_examples: 47192
download_size: 150864115
dataset_size: 197767083.176
license: mit
task_categories:
- text-to-image
language:
- en
tags:
- art
size_categories:
- 10K<n<100K
---
# "Emoji_for_diffusion" Dataset
## Description
This data set includes various style emoji and their description from different apps.
Each image is sized with 64*64, which is easy to train in your personal GPU, and has **RGBA** channels.
The description text is formatted as follows:
```
app/company + emoji content + description information
```
You can use this dataset to train your personal diffusion model. I sincerely hope this dataset can help your research work.
## Citation
If you use this dataset, please cite it as:
```
@misc{ChengAoShen2023emoji,
author = {ChengAo Shen and Siyuan Mu},
title = {emoji_for_diffusion},
year={2023},
howpublished= {\url{https://huggingface.co/datasets/ChengAoShen/emoji_for_diffusion/}}
}
```
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fredaa/test6 | fredaa | 2023-11-16T03:26:04Z | 0 | 0 | null | [
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atmallen/qm_bob_easy_2_grader_first_1.0e | atmallen | 2023-11-16T18:27:38Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T18:27:38Z | 2023-11-16T03:20:05.000Z | 2023-11-16T03:20:05 | ---
configs:
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path: data/train-*
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- split: test
path: data/test-*
dataset_info:
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---
# Dataset Card for "qm_bob_easy_2_grader_first_1.0e"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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xDAN-datasets/ChatDoctor_HealthCareMagic_112k | xDAN-datasets | 2023-11-16T03:23:09Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T03:23:09Z | 2023-11-16T03:23:00.000Z | 2023-11-16T03:23:00 | ---
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---
# Dataset Card for "ChatDoctor_HealthCareMagic_112k"
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ksanjeev284/Wraith | ksanjeev284 | 2023-11-16T03:33:30Z | 0 | 0 | null | [
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license: mit
---
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atmallen/qm_bob_easy_2_grader_last_1.0e | atmallen | 2023-11-16T18:23:08Z | 0 | 0 | null | [
"region:us"
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configs:
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data_files:
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path: data/test-*
dataset_info:
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download_size: 2465198
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---
# Dataset Card for "qm_bob_easy_2_grader_last_1.0e"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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atmallen/qm_bob_easy_2_mixture_1.0e | atmallen | 2023-11-16T18:18:35Z | 0 | 0 | null | [
"region:us"
] | 2023-11-16T18:18:35Z | 2023-11-16T03:34:07.000Z | 2023-11-16T03:34:07 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
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dtype: bool
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dtype: bool
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sequence: string
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download_size: 3703276
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---
# Dataset Card for "qm_bob_easy_2_mixture_1.0e"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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TeddyHug/Data_to_train | TeddyHug | 2023-11-16T03:50:41Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | 2023-11-16T03:50:41Z | 2023-11-16T03:44:56.000Z | 2023-11-16T03:44:56 | ---
license: apache-2.0
---
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