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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
autoevaluate/autoeval-eval-inverse-scaling__hindsight-neglect-10shot-inverse-scali-383fe9-1695459610 | autoevaluate | 2022-10-08T14:11:14Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-08T14:11:14Z | 2022-10-08T13:24:08.000Z | 2022-10-08T13:24:08 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- inverse-scaling/hindsight-neglect-10shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-6.7b_eval
metrics: []
dataset_name: inverse-scaling/hindsight-neglect-10shot
dataset_config: inverse-scaling--hindsight-neglect-10shot
dataset_split: train
col_mapping:
text: prompt
classes: classes
target: answer_index
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: inverse-scaling/hindsight-neglect-10shot
* Config: inverse-scaling--hindsight-neglect-10shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@MicPie](https://huggingface.co/MicPie) for evaluating this model. | [
-0.3101806342601776,
-0.3404662013053894,
0.34374240040779114,
0.132632315158844,
-0.010784228332340717,
-0.30384567379951477,
-0.015453435480594635,
-0.4254128932952881,
0.07461192458868027,
0.3809337019920349,
-0.9992197155952454,
-0.180234894156456,
-0.6919518113136292,
-0.0252308379858... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-inverse-scaling__hindsight-neglect-10shot-inverse-scali-383fe9-1695459611 | autoevaluate | 2022-10-08T14:48:28Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-08T14:48:28Z | 2022-10-08T13:24:16.000Z | 2022-10-08T13:24:16 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- inverse-scaling/hindsight-neglect-10shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-13b_eval
metrics: []
dataset_name: inverse-scaling/hindsight-neglect-10shot
dataset_config: inverse-scaling--hindsight-neglect-10shot
dataset_split: train
col_mapping:
text: prompt
classes: classes
target: answer_index
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: inverse-scaling/hindsight-neglect-10shot
* Config: inverse-scaling--hindsight-neglect-10shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@MicPie](https://huggingface.co/MicPie) for evaluating this model. | [
-0.3219761848449707,
-0.3719766438007355,
0.3570541441440582,
0.1531296819448471,
-0.01265378575772047,
-0.28663915395736694,
-0.01875322312116623,
-0.41718053817749023,
0.07195059955120087,
0.37806937098503113,
-1.0342433452606201,
-0.18620628118515015,
-0.6859915852546692,
-0.00465926202... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-inverse-scaling__hindsight-neglect-10shot-inverse-scali-383fe9-1695459612 | autoevaluate | 2022-10-08T17:12:47Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-08T17:12:47Z | 2022-10-08T13:24:18.000Z | 2022-10-08T13:24:18 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- inverse-scaling/hindsight-neglect-10shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-30b_eval
metrics: []
dataset_name: inverse-scaling/hindsight-neglect-10shot
dataset_config: inverse-scaling--hindsight-neglect-10shot
dataset_split: train
col_mapping:
text: prompt
classes: classes
target: answer_index
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: inverse-scaling/hindsight-neglect-10shot
* Config: inverse-scaling--hindsight-neglect-10shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@MicPie](https://huggingface.co/MicPie) for evaluating this model. | [
-0.3347502648830414,
-0.35095974802970886,
0.3442145586013794,
0.1589149683713913,
0.015707604587078094,
-0.2597649395465851,
-0.014839200302958488,
-0.39921489357948303,
0.04557601734995842,
0.3796749413013458,
-1.0167293548583984,
-0.2079082727432251,
-0.6631884574890137,
-0.036233935505... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-inverse-scaling__hindsight-neglect-10shot-inverse-scali-383fe9-1695459613 | autoevaluate | 2022-10-08T22:07:01Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-08T22:07:01Z | 2022-10-08T13:34:18.000Z | 2022-10-08T13:34:18 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- inverse-scaling/hindsight-neglect-10shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-66b_eval
metrics: []
dataset_name: inverse-scaling/hindsight-neglect-10shot
dataset_config: inverse-scaling--hindsight-neglect-10shot
dataset_split: train
col_mapping:
text: prompt
classes: classes
target: answer_index
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: inverse-scaling/hindsight-neglect-10shot
* Config: inverse-scaling--hindsight-neglect-10shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@MicPie](https://huggingface.co/MicPie) for evaluating this model. | [
-0.29841944575309753,
-0.33671441674232483,
0.35262182354927063,
0.11706536263227463,
-0.0068336231634020805,
-0.2987455427646637,
-0.0017228209180757403,
-0.4269614517688751,
0.07389850169420242,
0.38140222430229187,
-1.010133981704712,
-0.20274052023887634,
-0.675231397151947,
-0.0124600... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
neydor/geralPhotos | neydor | 2022-10-08T19:45:18Z | 15 | 0 | null | [
"region:us"
] | 2022-10-08T19:45:18Z | 2022-10-08T15:35:52.000Z | 2022-10-08T15:35:52 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
irenepap/en-ro2it-synthetic-data | irenepap | 2022-10-09T15:27:56Z | 15 | 0 | null | [
"region:us"
] | 2022-10-09T15:27:56Z | 2022-10-08T16:57:41.000Z | 2022-10-08T16:57:41 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
husmani/pk_celeb_identities | husmani | 2022-10-08T19:46:50Z | 15 | 0 | null | [
"region:us"
] | 2022-10-08T19:46:50Z | 2022-10-08T19:14:00.000Z | 2022-10-08T19:14:00 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
gilesitorr/El-Bicho | gilesitorr | 2022-10-08T19:54:21Z | 15 | 0 | null | [
"region:us"
] | 2022-10-08T19:54:21Z | 2022-10-08T19:53:48.000Z | 2022-10-08T19:53:48 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
deman539/celeb-identities | deman539 | 2022-10-08T20:34:11Z | 15 | 0 | null | [
"region:us"
] | 2022-10-08T20:34:11Z | 2022-10-08T20:34:07.000Z | 2022-10-08T20:34:07 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
faceyacc/celeb-identities | faceyacc | 2022-10-09T19:48:46Z | 15 | 1 | null | [
"region:us"
] | 2022-10-09T19:48:46Z | 2022-10-08T21:01:09.000Z | 2022-10-08T21:01:09 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
inditechie/cavalier | inditechie | 2022-10-08T23:01:26Z | 15 | 0 | null | [
"license:unknown",
"region:us"
] | 2022-10-08T23:01:26Z | 2022-10-08T21:03:52.000Z | 2022-10-08T21:03:52 | ---
license: unknown
---
| [
-0.12853367626667023,
-0.18616794049739838,
0.6529126763343811,
0.4943627417087555,
-0.19319313764572144,
0.23607443273067474,
0.36071979999542236,
0.05056338757276535,
0.5793654322624207,
0.7400138974189758,
-0.6508103013038635,
-0.23783987760543823,
-0.710224986076355,
-0.047825977206230... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Dustroit/RealDustin | Dustroit | 2022-10-08T22:45:32Z | 15 | 0 | null | [
"license:openrail",
"region:us"
] | 2022-10-08T22:45:32Z | 2022-10-08T22:42:28.000Z | 2022-10-08T22:42:28 | ---
license: openrail
---
| [
-0.12853367626667023,
-0.18616794049739838,
0.6529126763343811,
0.4943627417087555,
-0.19319313764572144,
0.23607443273067474,
0.36071979999542236,
0.05056338757276535,
0.5793654322624207,
0.7400138974189758,
-0.6508103013038635,
-0.23783987760543823,
-0.710224986076355,
-0.047825977206230... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
EmpoweringArts/planar-head | EmpoweringArts | 2022-10-08T22:49:45Z | 15 | 1 | null | [
"license:cc",
"region:us"
] | 2022-10-08T22:49:45Z | 2022-10-08T22:47:05.000Z | 2022-10-08T22:47:05 | ---
license: cc
---
| [
-0.12853392958641052,
-0.18616779148578644,
0.6529127955436707,
0.49436280131340027,
-0.19319361448287964,
0.23607419431209564,
0.36072003841400146,
0.050563063472509384,
0.579365611076355,
0.7400140762329102,
-0.6508104205131531,
-0.23783954977989197,
-0.7102249264717102,
-0.0478260256350... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
salaz055/celeb-identities | salaz055 | 2023-01-11T18:12:53Z | 15 | 0 | null | [
"region:us"
] | 2023-01-11T18:12:53Z | 2022-10-08T23:03:52.000Z | 2022-10-08T23:03:52 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Adam_Levine
'1': Anna_Kendrick
'2': John_Mayer
'3': Michael_B_Jordan
'4': Rihanna
'5': Taylor_Swift
splits:
- name: train
num_bytes: 2647071.0
num_examples: 18
download_size: 2649140
dataset_size: 2647071.0
---
# Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
-0.4635334610939026,
-0.25037848949432373,
0.00394643796607852,
0.09495987743139267,
-0.0663595050573349,
0.3351335823535919,
0.2677994966506958,
-0.30673032999038696,
0.9174424409866333,
0.39497289061546326,
-0.8485507965087891,
-0.641608476638794,
-0.6570073962211609,
-0.2662409543991089... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
doorfromenchumto/Images | doorfromenchumto | 2022-10-08T23:15:50Z | 15 | 0 | null | [
"region:us"
] | 2022-10-08T23:15:50Z | 2022-10-08T23:13:56.000Z | 2022-10-08T23:13:56 | Entry not found | [
-0.3227647542953491,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965083122253,
0.7915717959403992,
0.07618629932403564,
0.7746022343635559,
0.2563222348690033,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
cm1/3dkoreancelebritystyle | cm1 | 2022-10-08T23:29:30Z | 15 | 0 | null | [
"region:us"
] | 2022-10-08T23:29:30Z | 2022-10-08T23:21:05.000Z | 2022-10-08T23:21:05 | Entry not found | [
-0.3227647542953491,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965083122253,
0.7915717959403992,
0.07618629932403564,
0.7746022343635559,
0.2563222348690033,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
krm/modified-orangeSum | krm | 2022-10-09T00:06:23Z | 15 | 0 | null | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other",
"license:unknown",
"'krm'",
"region:us"
] | 2022-10-09T00:06:23Z | 2022-10-08T23:26:03.000Z | 2022-10-08T23:26:03 | ---
annotations_creators:
- other
language_creators:
- other
license:
- unknown
multilinguality:
- monolingual
pretty_name: modified-orangeSum
size_categories:
- 10K<n<100K
source_datasets:
- extended|other
tags:
- '''krm'''
task_categories:
- summarization
task_ids:
- news-articles-summarization
---
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#Summarization)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#text)
- [Annotations](#summary)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage: Exercises ModifiedOrangeSumm-Abstract**
- **Repository: krm/modified-orangeSum**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
[Ceci est un petit essai et résulte de l'adjonction de quelques données personnelles à OrangeSum Abstract]
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed] | [
-0.5357828736305237,
-0.5539023876190186,
0.11022426187992096,
0.29622700810432434,
-0.1619943529367447,
0.176450714468956,
-0.35908612608909607,
-0.38819414377212524,
0.5438193082809448,
0.6493610143661499,
-0.9142284989356995,
-1.2074779272079468,
-0.7158157825469971,
0.12906001508235931... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
viba98/icons-test | viba98 | 2022-10-09T07:57:36Z | 15 | 0 | null | [
"region:us"
] | 2022-10-09T07:57:36Z | 2022-10-09T06:51:08.000Z | 2022-10-09T06:51:08 | Entry not found | [
-0.3227645754814148,
-0.22568479180335999,
0.8622264862060547,
0.43461528420448303,
-0.52829909324646,
0.7012971639633179,
0.7915720343589783,
0.07618614286184311,
0.774603009223938,
0.2563217282295227,
-0.7852813005447388,
-0.22573819756507874,
-0.9104477167129517,
0.5715674161911011,
-... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
laion/laion1B-nolang-joined-translated-to-en | laion | 2022-10-11T20:34:16Z | 15 | 1 | null | [
"license:cc-by-4.0",
"region:us"
] | 2022-10-11T20:34:16Z | 2022-10-09T10:27:51.000Z | 2022-10-09T10:27:51 | ---
license: cc-by-4.0
---
| [
-0.1285335123538971,
-0.1861683875322342,
0.6529128551483154,
0.49436232447624207,
-0.19319400191307068,
0.23607441782951355,
0.36072009801864624,
0.05056373029947281,
0.5793656706809998,
0.7400146722793579,
-0.650810182094574,
-0.23784008622169495,
-0.7102247476577759,
-0.0478255338966846... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
fathyshalaby/Emailcomplaints-processed | fathyshalaby | 2022-10-09T11:45:13Z | 15 | 0 | null | [
"region:us"
] | 2022-10-09T11:45:13Z | 2022-10-09T11:44:44.000Z | 2022-10-09T11:44:44 | Entry not found | [
-0.3227645754814148,
-0.22568479180335999,
0.8622264862060547,
0.43461528420448303,
-0.52829909324646,
0.7012971639633179,
0.7915720343589783,
0.07618614286184311,
0.774603009223938,
0.2563217282295227,
-0.7852813005447388,
-0.22573819756507874,
-0.9104477167129517,
0.5715674161911011,
-... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
marcus2000/filthered_nli-500 | marcus2000 | 2022-10-09T14:18:03Z | 15 | 0 | null | [
"region:us"
] | 2022-10-09T14:18:03Z | 2022-10-09T14:17:33.000Z | 2022-10-09T14:17:33 | Entry not found | [
-0.3227645754814148,
-0.22568479180335999,
0.8622264862060547,
0.43461528420448303,
-0.52829909324646,
0.7012971639633179,
0.7915720343589783,
0.07618614286184311,
0.774603009223938,
0.2563217282295227,
-0.7852813005447388,
-0.22573819756507874,
-0.9104477167129517,
0.5715674161911011,
-... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
osanseviero/us-patents | osanseviero | 2022-10-09T15:09:02Z | 15 | 0 | null | [
"region:us"
] | 2022-10-09T15:09:02Z | 2022-10-09T14:47:17.000Z | 2022-10-09T14:47:17 | Entry not found | [
-0.3227645754814148,
-0.22568479180335999,
0.8622264862060547,
0.43461528420448303,
-0.52829909324646,
0.7012971639633179,
0.7915720343589783,
0.07618614286184311,
0.774603009223938,
0.2563217282295227,
-0.7852813005447388,
-0.22573819756507874,
-0.9104477167129517,
0.5715674161911011,
-... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
thegoodfellas/brwac_tiny | thegoodfellas | 2022-10-10T20:27:54Z | 15 | 0 | null | [
"task_categories:fill-mask",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:pt",
"license:mit",
"ufrgs",
"nlp",
"brazil",
"region:us"
] | 2022-10-10T20:27:54Z | 2022-10-09T17:55:56.000Z | 2022-10-09T17:55:56 | ---
annotations_creators:
- no-annotation
language:
- pt
language_creators:
- found
license:
- mit
multilinguality:
- monolingual
pretty_name: brwac
size_categories:
- 10M<n<100M
source_datasets:
- original
tags:
- ufrgs
- nlp
- brazil
task_categories:
- fill-mask
task_ids:
- masked-language-modeling
---
# Dataset Card for BrWac
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Source Data](#source-data)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [BrWaC homepage](https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC)
- **Repository:** [BrWaC repository](https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC)
- **Paper:** [The brWaC Corpus: A New Open Resource for Brazilian Portuguese](https://www.aclweb.org/anthology/L18-1686/)
- **Point of Contact:** [Jorge A. Wagner Filho](mailto:jawfilho@inf.ufrgs.br)
### Dataset Summary
The BrWaC (Brazilian Portuguese Web as Corpus) is a large corpus constructed following the Wacky framework,
which was made public for research purposes. The current corpus version, released in January 2017, is composed by
3.53 million documents, 2.68 billion tokens and 5.79 million types. Please note that this resource is available
solely for academic research purposes, and you agreed not to use it for any commercial applications.
Manually download at https://www.inf.ufrgs.br/pln/wiki/index.php?title=BrWaC
This is a Tiny version of the entire dataset for educational purposes. Please, refer to https://github.com/the-good-fellas/xlm-roberta-pt-br
### Supported Tasks and Leaderboards
Initially meant for fill-mask task.
### Languages
Brazilian Portuguese
## Dataset Creation
### Personal and Sensitive Information
All data were extracted from public sites.
### Licensing Information
MIT
### Citation Information
```
@inproceedings{wagner2018brwac,
title={The brwac corpus: A new open resource for brazilian portuguese},
author={Wagner Filho, Jorge A and Wilkens, Rodrigo and Idiart, Marco and Villavicencio, Aline},
booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation
(LREC 2018)},
year={2018}
}
```
### Contributions
Thanks to [@the-good-fellas](https://github.com/the-good-fellas) for adding this dataset as hf format. | [
-0.5607502460479736,
-0.6968744993209839,
-0.04923708364367485,
0.508398175239563,
-0.17715789377689362,
0.09206901490688324,
-0.4776284396648407,
-0.6048858165740967,
0.2433278113603592,
0.56723552942276,
-0.39883750677108765,
-0.9771723747253418,
-0.5178886651992798,
0.35143741965293884,... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
sridiyer/celeb-identities | sridiyer | 2022-10-09T18:13:10Z | 15 | 0 | null | [
"region:us"
] | 2022-10-09T18:13:10Z | 2022-10-09T18:12:57.000Z | 2022-10-09T18:12:57 | Entry not found | [
-0.3227645754814148,
-0.22568479180335999,
0.8622264862060547,
0.43461528420448303,
-0.52829909324646,
0.7012971639633179,
0.7915720343589783,
0.07618614286184311,
0.774603009223938,
0.2563217282295227,
-0.7852813005447388,
-0.22573819756507874,
-0.9104477167129517,
0.5715674161911011,
-... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
arturpl/fotos_artur_puighibet | arturpl | 2022-10-09T18:56:15Z | 15 | 0 | null | [
"region:us"
] | 2022-10-09T18:56:15Z | 2022-10-09T18:54:48.000Z | 2022-10-09T18:54:48 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
inditechie/peppa | inditechie | 2022-10-09T21:27:09Z | 15 | 0 | null | [
"license:other",
"region:us"
] | 2022-10-09T21:27:09Z | 2022-10-09T21:18:41.000Z | 2022-10-09T21:18:41 | ---
license: other
---
| [
-0.12853367626667023,
-0.18616794049739838,
0.6529126763343811,
0.4943627417087555,
-0.19319313764572144,
0.23607443273067474,
0.36071979999542236,
0.05056338757276535,
0.5793654322624207,
0.7400138974189758,
-0.6508103013038635,
-0.23783987760543823,
-0.710224986076355,
-0.047825977206230... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
privacy-tech-lab/ppRegionTest | privacy-tech-lab | 2022-10-09T21:40:41Z | 15 | 0 | null | [
"region:us"
] | 2022-10-09T21:40:41Z | 2022-10-09T21:40:19.000Z | 2022-10-09T21:40:19 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
marcelarosalesj/celeb-identities | marcelarosalesj | 2022-10-09T21:57:31Z | 15 | 0 | null | [
"region:us"
] | 2022-10-09T21:57:31Z | 2022-10-09T21:57:18.000Z | 2022-10-09T21:57:18 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
grosenthal/lat_en_loeb | grosenthal | 2023-01-29T23:21:06Z | 15 | 0 | null | [
"region:us"
] | 2023-01-29T23:21:06Z | 2022-10-09T22:31:22.000Z | 2022-10-09T22:31:22 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: la
dtype: string
- name: en
dtype: string
- name: file
dtype: string
splits:
- name: train
num_bytes: 31372661.713349972
num_examples: 81096
- name: test
num_bytes: 3921582.7141687465
num_examples: 10137
- name: valid
num_bytes: 3921969.5724812816
num_examples: 10138
download_size: 25067983
dataset_size: 39216214.0
---
# Dataset Card for "lat_en_loeb"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
-0.5691003799438477,
-0.5357030034065247,
0.34135106205940247,
0.27703049778938293,
-0.16713717579841614,
-0.12654158473014832,
0.11723783612251282,
-0.369784951210022,
1.1263988018035889,
0.7123438119888306,
-0.6619454622268677,
-0.8627140522003174,
-0.5186203718185425,
-0.326660633087158... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
liuwei33/images | liuwei33 | 2022-11-22T15:43:16Z | 15 | 0 | null | [
"license:mit",
"region:us"
] | 2022-11-22T15:43:16Z | 2022-10-10T01:24:54.000Z | 2022-10-10T01:24:54 | ---
license: mit
---
| [
-0.12853392958641052,
-0.18616779148578644,
0.6529127955436707,
0.49436280131340027,
-0.19319361448287964,
0.23607419431209564,
0.36072003841400146,
0.050563063472509384,
0.579365611076355,
0.7400140762329102,
-0.6508104205131531,
-0.23783954977989197,
-0.7102249264717102,
-0.0478260256350... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
xia111/pdf | xia111 | 2022-10-10T09:18:11Z | 15 | 2 | null | [
"region:us"
] | 2022-10-10T09:18:11Z | 2022-10-10T02:11:29.000Z | 2022-10-10T02:11:29 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
nlhappy/CMeEE | nlhappy | 2023-07-27T00:39:56Z | 15 | 0 | null | [
"region:us"
] | 2023-07-27T00:39:56Z | 2022-10-10T04:17:53.000Z | 2022-10-10T04:17:53 | ---
dataset_info:
features:
- name: text
dtype: string
- name: ents
list:
- name: indices
sequence: int64
- name: label
dtype: string
- name: score
dtype: int64
- name: text
dtype: string
splits:
- name: train
num_bytes: 8592427
num_examples: 14897
- name: validation
num_bytes: 2851335
num_examples: 4968
download_size: 3572845
dataset_size: 11443762
---
# Dataset Card for "CMeEE"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
-0.8321331143379211,
-0.23556143045425415,
0.5219805240631104,
0.055349431931972504,
-0.14367042481899261,
-0.07095089554786682,
0.1810409128665924,
-0.11176104843616486,
1.0644593238830566,
0.5119131207466125,
-1.0414339303970337,
-0.978893518447876,
-0.7436342239379883,
-0.38069346547126... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-12-25-train-fragments | ebeaulac | 2022-10-10T04:24:10Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:24:10Z | 2022-10-10T04:24:06.000Z | 2022-10-10T04:24:06 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-12-25-train-pairs | ebeaulac | 2022-10-10T04:24:15Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:24:15Z | 2022-10-10T04:24:11.000Z | 2022-10-10T04:24:11 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-12-25-valid-fragments | ebeaulac | 2022-10-10T04:24:21Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:24:21Z | 2022-10-10T04:24:16.000Z | 2022-10-10T04:24:16 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-12-25-valid-pairs | ebeaulac | 2022-10-10T04:24:26Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:24:26Z | 2022-10-10T04:24:21.000Z | 2022-10-10T04:24:21 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-6-25-train-fragments | ebeaulac | 2022-10-10T04:25:19Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:25:19Z | 2022-10-10T04:25:15.000Z | 2022-10-10T04:25:15 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-6-25-train-pairs | ebeaulac | 2022-10-10T04:25:24Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:25:24Z | 2022-10-10T04:25:20.000Z | 2022-10-10T04:25:20 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-6-25-valid-fragments | ebeaulac | 2022-10-10T04:25:29Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:25:29Z | 2022-10-10T04:25:24.000Z | 2022-10-10T04:25:24 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-6-25-valid-pairs | ebeaulac | 2022-10-10T04:25:34Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:25:34Z | 2022-10-10T04:25:30.000Z | 2022-10-10T04:25:30 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-3-25-train-fragments | ebeaulac | 2022-10-10T04:26:07Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:26:07Z | 2022-10-10T04:26:03.000Z | 2022-10-10T04:26:03 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-3-25-train-pairs | ebeaulac | 2022-10-10T04:26:11Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:26:11Z | 2022-10-10T04:26:07.000Z | 2022-10-10T04:26:07 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ebeaulac/siriccam-sq-400px-16frag-3-25-valid-fragments | ebeaulac | 2022-10-10T04:26:17Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T04:26:17Z | 2022-10-10T04:26:12.000Z | 2022-10-10T04:26:12 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-toxic-7252ee-1708159804 | autoevaluate | 2022-10-10T04:44:20Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T04:44:20Z | 2022-10-10T04:33:12.000Z | 2022-10-10T04:33:12 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b7
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: toxic
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b7
* Dataset: phpthinh/exampletx
* Config: toxic
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.1917189508676529,
-0.32615503668785095,
0.501153826713562,
0.14244532585144043,
-0.06375005096197128,
-0.0932006984949112,
0.014789437875151634,
-0.4575153887271881,
0.02206510864198208,
0.364056259393692,
-0.919249415397644,
-0.349353551864624,
-0.6972764134407043,
0.01970614865422249,... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-toxic-7252ee-1708159806 | autoevaluate | 2022-10-10T05:09:11Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T05:09:11Z | 2022-10-10T04:33:12.000Z | 2022-10-10T04:33:12 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-7b1
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: toxic
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-7b1
* Dataset: phpthinh/exampletx
* Config: toxic
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.20139269530773163,
-0.3219079077243805,
0.5049394965171814,
0.1537337750196457,
-0.08134230971336365,
-0.10071591287851334,
0.025165576487779617,
-0.4635280966758728,
0.025723669677972794,
0.3787693679332733,
-0.8991559147834778,
-0.37235766649246216,
-0.6987286806106567,
0.027660880237... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-toxic-7252ee-1708159803 | autoevaluate | 2022-10-10T04:40:56Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T04:40:56Z | 2022-10-10T04:33:13.000Z | 2022-10-10T04:33:13 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b1
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: toxic
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b1
* Dataset: phpthinh/exampletx
* Config: toxic
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.19081541895866394,
-0.3459639847278595,
0.49579131603240967,
0.15580500662326813,
-0.0594031997025013,
-0.1049313172698021,
0.02224619872868061,
-0.4459937512874603,
0.04541110619902611,
0.35473212599754333,
-0.9524860978126526,
-0.345712810754776,
-0.6966766119003296,
-0.00421382905915... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-toxic-7252ee-1708159802 | autoevaluate | 2022-10-10T04:39:48Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T04:39:48Z | 2022-10-10T04:33:14.000Z | 2022-10-10T04:33:14 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-560m
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: toxic
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/exampletx
* Config: toxic
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.21139393746852875,
-0.3200591504573822,
0.5097622275352478,
0.1368326097726822,
-0.08876553922891617,
-0.11998064070940018,
-0.011881127953529358,
-0.44855812191963196,
0.0229638684540987,
0.37240198254585266,
-0.8888682126998901,
-0.37187689542770386,
-0.6892361044883728,
0.01825046539... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-toxic-7252ee-1708159805 | autoevaluate | 2022-10-10T04:47:39Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T04:47:39Z | 2022-10-10T04:33:17.000Z | 2022-10-10T04:33:17 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-3b
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: toxic
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-3b
* Dataset: phpthinh/exampletx
* Config: toxic
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.18908348679542542,
-0.34066835045814514,
0.5506318807601929,
0.20443850755691528,
-0.04735099896788597,
-0.11477367579936981,
0.03319612517952919,
-0.4762003421783447,
0.0028872580733150244,
0.3614470064640045,
-0.8889007568359375,
-0.36512863636016846,
-0.6469665765762329,
0.0137229878... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-constructive-7f6ba0-1708559813 | autoevaluate | 2022-10-10T05:19:15Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T05:19:15Z | 2022-10-10T05:11:30.000Z | 2022-10-10T05:11:30 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b1
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: constructive
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b1
* Dataset: phpthinh/exampletx
* Config: constructive
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.2408105581998825,
-0.39535287022590637,
0.5018683075904846,
0.17889581620693207,
-0.08323165774345398,
-0.10211561620235443,
-0.050074558705091476,
-0.42666733264923096,
0.06123574450612068,
0.29728075861930847,
-1.000126838684082,
-0.3080090880393982,
-0.6785122156143188,
-0.0297369770... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-constructive-7f6ba0-1708559812 | autoevaluate | 2022-10-10T05:18:19Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T05:18:19Z | 2022-10-10T05:11:30.000Z | 2022-10-10T05:11:30 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-560m
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: constructive
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: phpthinh/exampletx
* Config: constructive
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.26065579056739807,
-0.3654625117778778,
0.5181318521499634,
0.15673449635505676,
-0.11108400672674179,
-0.11926247179508209,
-0.08162419497966766,
-0.4307408034801483,
0.04132901504635811,
0.3128262162208557,
-0.9327854514122009,
-0.3392009139060974,
-0.6677888035774231,
-0.008714148774... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-constructive-7f6ba0-1708559816 | autoevaluate | 2022-10-10T05:46:34Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T05:46:34Z | 2022-10-10T05:11:32.000Z | 2022-10-10T05:11:32 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-7b1
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: constructive
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-7b1
* Dataset: phpthinh/exampletx
* Config: constructive
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.25261104106903076,
-0.3693895936012268,
0.5124737024307251,
0.1765330582857132,
-0.10609032958745956,
-0.09674054384231567,
-0.04666874557733536,
-0.44472625851631165,
0.040234342217445374,
0.32544100284576416,
-0.944075345993042,
-0.3355073630809784,
-0.6811028718948364,
0.004311888013... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-constructive-7f6ba0-1708559814 | autoevaluate | 2022-10-10T05:22:41Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T05:22:41Z | 2022-10-10T05:11:33.000Z | 2022-10-10T05:11:33 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b7
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: constructive
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b7
* Dataset: phpthinh/exampletx
* Config: constructive
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.24165041744709015,
-0.37475019693374634,
0.5076939463615417,
0.16499145328998566,
-0.08704326301813126,
-0.09022624790668488,
-0.058715131133794785,
-0.4380502998828888,
0.03699599951505661,
0.30698227882385254,
-0.9645980596542358,
-0.3116045296192169,
-0.6794527173042297,
-0.003766732... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
konneker/celeb-identities | konneker | 2022-10-13T04:36:57Z | 15 | 0 | null | [
"region:us"
] | 2022-10-13T04:36:57Z | 2022-10-10T06:14:57.000Z | 2022-10-10T06:14:57 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
wjh/processed_bert_dataset | wjh | 2022-10-10T07:35:10Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T07:35:10Z | 2022-10-10T06:17:10.000Z | 2022-10-10T06:17:10 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-toxic-b86aaf-1709259817 | autoevaluate | 2022-10-10T07:57:16Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T07:57:16Z | 2022-10-10T07:53:44.000Z | 2022-10-10T07:53:44 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: gpt2
metrics: ['f1']
dataset_name: phpthinh/exampletx
dataset_config: toxic
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: gpt2
* Dataset: phpthinh/exampletx
* Config: toxic
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.22591404616832733,
-0.3818080425262451,
0.4951152205467224,
0.010858353227376938,
-0.2043471783399582,
-0.136870875954628,
0.05379243567585945,
-0.4372023046016693,
-0.09179254621267319,
0.34625935554504395,
-0.8751640319824219,
-0.2886354923248291,
-0.766989529132843,
-0.03532628342509... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
vogloblinsky/skateboarding-tricks | vogloblinsky | 2022-10-10T12:38:17Z | 15 | 2 | null | [
"task_categories:text-to-image",
"annotations_creators:machine-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:mit",
"region:us"
] | 2022-10-10T12:38:17Z | 2022-10-10T08:10:46.000Z | 2022-10-10T08:10:46 | ---
license: mit
annotations_creators:
- machine-generated
language:
- en
language_creators:
- other
multilinguality:
- monolingual
pretty_name: 'Skateboarding tricks'
size_categories:
- n<1K
tags: []
task_categories:
- text-to-image
task_ids: []
---
# Dataset Card for Skateboarding tricks
Dataset used to train [Text to skateboarding image model](https://github.com/LambdaLabsML/examples/tree/main/stable-diffusion-finetuning).
For each row the dataset contains `image` and `text` keys.
`image` is a varying size PIL jpeg, and `text` is the accompanying text caption.
| [
-0.3796260356903076,
-0.649688720703125,
0.29472413659095764,
0.16738688945770264,
-0.7200986742973328,
0.328274130821228,
0.34670570492744446,
-0.04245857521891594,
0.3649059534072876,
0.2919313907623291,
-0.7188751101493835,
-0.775719404220581,
-0.5735957026481628,
-0.45402681827545166,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
aari1995/false_friends_en_de | aari1995 | 2022-10-10T11:42:11Z | 15 | 1 | null | [
"region:us"
] | 2022-10-10T11:42:11Z | 2022-10-10T08:56:43.000Z | 2022-10-10T08:56:43 | This Dataset contains many (as many as I could find) False Friends for English and German Language.
False Friends are words that are same / similar in sound or spelling.
This dataset is created as part of the Stanford NLU course XCS224u final project.
**Example:**
A) False Friend Word: "bald"
B) Meaning of Word in English: "not having hair"
C) Actual, Translated Meaning of German Word: "soon"
D) Translation of English "bald" in German: "glatzköpfig"
**Columns:**
False Friend / False Friend Word: Like A), A word with different meanings in both languages.
Correct False Friend Synonym: A true German synonym for the A) False Friend.
Wrong False Friend Synonym: Like D), a translation of the English False Friend into German.
Sentence: A Sentence, where the A) False Friend Word is used.
Correct Sentence: The Same Sentence as before, however the False Friend Word A) is replaced by The Correct False Friend Synonym
Wrong Sentence: The Same Sentence as before, however the False Friend Word A) is replaced by The Wrong False Friend Synonym like D)
Correct English Translation: The actual meaning of the False Friend, like in C)
Wrong English Translation: The wrong meaning of the False Friend, a word sounding or is written similar / same as the False Friend.
Source: The Source (Website) where the False Friend was mentioned. | [
-0.3947315812110901,
-0.8780587911605835,
0.549142599105835,
0.568016767501831,
-0.09295579046010971,
0.0391722097992897,
0.002430503023788333,
-0.7824295163154602,
0.7494534254074097,
0.45846059918403625,
-0.9856457710266113,
-0.3844853341579437,
-0.5889869332313538,
0.5541567206382751,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Gr3en/MIlo_Rau_Grief_and_Beauty | Gr3en | 2022-10-10T09:02:24Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T09:02:24Z | 2022-10-10T08:58:26.000Z | 2022-10-10T08:58:26 | annotations_creators:
- no-annotation
language:
- en
language_creators:
- other
license:
- artistic-2.0
multilinguality:
- monolingual
pretty_name: Grief and Beauty by Milo Rau
size_categories:
- n<1K
source_datasets:
- original
tags: []
task_categories:
- text-to-image
task_ids: [] | [
-0.2510126829147339,
-0.5278104543685913,
0.2598414123058319,
0.5850785374641418,
-0.6793274283409119,
-0.05570919066667557,
-0.09354797005653381,
-0.7017325758934021,
0.416361927986145,
0.6248680949211121,
-1.0485069751739502,
-0.5177802443504333,
-0.8170315027236938,
0.34781306982040405,... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampletx-constructive-666f04-1710259829 | autoevaluate | 2022-10-10T09:53:28Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T09:53:28Z | 2022-10-10T09:50:00.000Z | 2022-10-10T09:50:00 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampletx
eval_info:
task: text_zero_shot_classification
model: gpt2
metrics: []
dataset_name: phpthinh/exampletx
dataset_config: constructive
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: gpt2
* Dataset: phpthinh/exampletx
* Config: constructive
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.27265432476997375,
-0.430966854095459,
0.5064817667007446,
0.034014660865068436,
-0.22741448879241943,
-0.13865886628627777,
-0.018666723743081093,
-0.4178664982318878,
-0.08320637792348862,
0.2960515320301056,
-0.9131160378456116,
-0.2506774365901947,
-0.7550938725471497,
-0.0580826811... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
vedantgaur/GPTOutputs-MWP | vedantgaur | 2022-10-10T10:09:39Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T10:09:39Z | 2022-10-10T10:09:31.000Z | 2022-10-10T10:09:31 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
zhaluza/celeb-identities | zhaluza | 2022-10-10T11:21:59Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T11:21:59Z | 2022-10-10T11:21:55.000Z | 2022-10-10T11:21:55 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
mdalvi/stt-demo | mdalvi | 2022-10-12T10:39:49Z | 15 | 0 | null | [
"region:us"
] | 2022-10-12T10:39:49Z | 2022-10-10T11:28:26.000Z | 2022-10-10T11:28:26 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
anakib1/leonardo-dv-tokenized-for-bert | anakib1 | 2022-10-10T12:17:53Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T12:17:53Z | 2022-10-10T12:17:32.000Z | 2022-10-10T12:17:32 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Agutiema/sdtraining | Agutiema | 2022-10-10T15:08:53Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T15:08:53Z | 2022-10-10T13:50:44.000Z | 2022-10-10T13:50:44 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
irenepap/it-en-synthetic-data | irenepap | 2022-10-10T14:08:25Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T14:08:25Z | 2022-10-10T14:08:13.000Z | 2022-10-10T14:08:13 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
HuggingfaceStore/images | HuggingfaceStore | 2022-11-07T16:13:11Z | 15 | 0 | null | [
"region:us"
] | 2022-11-07T16:13:11Z | 2022-10-10T14:14:46.000Z | 2022-10-10T14:14:46 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
irenepap/it-en-lrs-data | irenepap | 2022-10-10T14:33:11Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T14:33:11Z | 2022-10-10T14:33:04.000Z | 2022-10-10T14:33:04 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
olm/olm-CC-MAIN-2022-21-sampling-ratio-0.14775510204 | olm | 2022-11-04T17:13:26Z | 15 | 1 | null | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"language:en",
"pretraining",
"language modelling",
"common crawl",
"web",
"region:us"
] | 2022-11-04T17:13:26Z | 2022-10-10T14:33:47.000Z | 2022-10-10T14:33:47 | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license: []
multilinguality:
- monolingual
pretty_name: OLM May 2022 Common Crawl
size_categories:
- 10M<n<100M
source_datasets: []
tags:
- pretraining
- language modelling
- common crawl
- web
task_categories: []
task_ids: []
---
# Dataset Card for OLM May 2022 Common Crawl
Cleaned and deduplicated pretraining dataset, created with the OLM repo [here](https://github.com/huggingface/olm-datasets) from 15% of the May 2022 Common Crawl snapshot.
Note: `last_modified_timestamp` was parsed from whatever a website returned in it's `Last-Modified` header; there are likely a small number of outliers that are incorrect, so we recommend removing the outliers before doing statistics with `last_modified_timestamp`. | [
-0.5127774477005005,
-0.5034664869308472,
0.4189107418060303,
-0.2555408179759979,
-0.5193650722503662,
-0.26775938272476196,
0.21799175441265106,
-0.4257380962371826,
0.3680722713470459,
0.6764578819274902,
-0.8825265169143677,
-0.8810757398605347,
-0.4352080225944519,
-0.0114302774891257... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
irenepap/en-it-small-synthetic-data | irenepap | 2022-10-10T14:42:37Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T14:42:37Z | 2022-10-10T14:42:26.000Z | 2022-10-10T14:42:26 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
futura555/test_rendering | futura555 | 2022-10-10T16:12:33Z | 15 | 0 | null | [
"license:cc-by-nc-2.0",
"region:us"
] | 2022-10-10T16:12:33Z | 2022-10-10T16:07:08.000Z | 2022-10-10T16:07:08 | ---
license: cc-by-nc-2.0
---
| [
-0.12853367626667023,
-0.18616794049739838,
0.6529126763343811,
0.4943627417087555,
-0.19319313764572144,
0.23607443273067474,
0.36071979999542236,
0.05056338757276535,
0.5793654322624207,
0.7400138974189758,
-0.6508103013038635,
-0.23783987760543823,
-0.710224986076355,
-0.047825977206230... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
irenepap/en-it-small-lrs-data | irenepap | 2022-10-10T17:31:50Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T17:31:50Z | 2022-10-10T17:31:43.000Z | 2022-10-10T17:31:43 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Appdemon/profile | Appdemon | 2022-10-10T17:46:54Z | 15 | 0 | null | [
"license:other",
"region:us"
] | 2022-10-10T17:46:54Z | 2022-10-10T17:45:21.000Z | 2022-10-10T17:45:21 | ---
license: other
---
| [
-0.12853367626667023,
-0.18616794049739838,
0.6529126763343811,
0.4943627417087555,
-0.19319313764572144,
0.23607443273067474,
0.36071979999542236,
0.05056338757276535,
0.5793654322624207,
0.7400138974189758,
-0.6508103013038635,
-0.23783987760543823,
-0.710224986076355,
-0.047825977206230... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
olm/olm-wikipedia-20220701 | olm | 2022-10-18T19:18:45Z | 15 | 0 | null | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"language:en",
"pretraining",
"language modelling",
"wikipedia",
"web",
"region:us"
] | 2022-10-18T19:18:45Z | 2022-10-10T18:02:46.000Z | 2022-10-10T18:02:46 | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license: []
multilinguality:
- monolingual
pretty_name: OLM August 2022 Wikipedia
size_categories:
- 1M<n<10M
source_datasets: []
tags:
- pretraining
- language modelling
- wikipedia
- web
task_categories: []
task_ids: []
---
# Dataset Card for OLM August 2022 Wikipedia
Pretraining dataset, created with the OLM repo [here](https://github.com/huggingface/olm-datasets) from an August 2022 Wikipedia snapshot. | [
-0.5705637335777283,
-0.11321233958005905,
0.20994962751865387,
-0.0935276672244072,
-0.31017065048217773,
-0.5043808221817017,
0.29648450016975403,
-0.38883379101753235,
0.5768933296203613,
0.78248131275177,
-0.9370077252388,
-0.6221410632133484,
-0.14758114516735077,
-0.2848491370677948,... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
irenepap/en-ro2it-small-synthetic-data | irenepap | 2022-10-10T19:00:13Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T19:00:13Z | 2022-10-10T19:00:02.000Z | 2022-10-10T19:00:02 | Entry not found | [
-0.3227647542953491,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965083122253,
0.7915717959403992,
0.07618629932403564,
0.7746022343635559,
0.2563222348690033,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
irenepap/en-fr2it-small-synthetic-data | irenepap | 2022-10-10T19:01:03Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T19:01:03Z | 2022-10-10T19:00:47.000Z | 2022-10-10T19:00:47 | Entry not found | [
-0.3227647542953491,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965083122253,
0.7915717959403992,
0.07618629932403564,
0.7746022343635559,
0.2563222348690033,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Frustartis1234/Vicky | Frustartis1234 | 2022-10-10T19:03:26Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T19:03:26Z | 2022-10-10T19:03:05.000Z | 2022-10-10T19:03:05 | Entry not found | [
-0.3227647542953491,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965083122253,
0.7915717959403992,
0.07618629932403564,
0.7746022343635559,
0.2563222348690033,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
irenepap/en-it-small-hrs-data | irenepap | 2022-10-10T19:05:46Z | 15 | 0 | null | [
"region:us"
] | 2022-10-10T19:05:46Z | 2022-10-10T19:05:39.000Z | 2022-10-10T19:05:39 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
MuhammadIqbalBazmi/intent-dataset | MuhammadIqbalBazmi | 2022-10-12T19:50:30Z | 15 | 0 | null | [
"region:us"
] | 2022-10-12T19:50:30Z | 2022-10-10T19:14:14.000Z | 2022-10-10T19:14:14 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
muchojarabe/images-mxjr | muchojarabe | 2022-10-10T21:17:07Z | 15 | 0 | null | [
"license:cc",
"region:us"
] | 2022-10-10T21:17:07Z | 2022-10-10T20:51:53.000Z | 2022-10-10T20:51:53 | ---
license: cc
---
| [
-0.12853367626667023,
-0.18616794049739838,
0.6529126763343811,
0.4943627417087555,
-0.19319313764572144,
0.23607443273067474,
0.36071979999542236,
0.05056338757276535,
0.5793654322624207,
0.7400138974189758,
-0.6508103013038635,
-0.23783987760543823,
-0.710224986076355,
-0.047825977206230... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
umair894/rvl_cdip_300_examples_per_class_donut | umair894 | 2022-10-11T07:12:23Z | 15 | 0 | null | [
"region:us"
] | 2022-10-11T07:12:23Z | 2022-10-11T07:12:17.000Z | 2022-10-11T07:12:17 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
danf0/snli_shortcut_grammar | danf0 | 2022-10-13T14:44:55Z | 15 | 0 | null | [
"region:us"
] | 2022-10-13T14:44:55Z | 2022-10-13T14:43:04.000Z | 2022-10-13T14:43:04 | ---
dataset_info:
features:
- name: uid
dtype: string
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: label
dtype: string
- name: tree
dtype: string
splits:
- name: train
num_bytes: 5724044
num_examples: 16380
download_size: 0
dataset_size: 5724044
---
# Dataset Card for "snli_shortcut_grammar"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
-0.08287639915943146,
-0.3923732340335846,
0.3880654275417328,
0.1466607004404068,
-0.10626080632209778,
-0.014857095666229725,
-0.0770912617444992,
0.18162454664707184,
0.9579004049301147,
0.2721138894557953,
-0.8893635869026184,
-0.8020617365837097,
-0.5782312154769897,
-0.12113607674837... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
danf0/subj_shortcut_grammar | danf0 | 2022-10-13T14:54:05Z | 15 | 0 | null | [
"region:us"
] | 2022-10-13T14:54:05Z | 2022-10-13T14:54:02.000Z | 2022-10-13T14:54:02 | ---
dataset_info:
features:
- name: uid
dtype: string
- name: sentence
dtype: string
- name: label
dtype: string
- name: tree
dtype: string
splits:
- name: train
num_bytes: 1077802
num_examples: 2000
download_size: 522313
dataset_size: 1077802
---
# Dataset Card for "subj_shortcut_grammar"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
-0.4437572956085205,
-0.5361323952674866,
0.2984439730644226,
0.016595108434557915,
-0.21375253796577454,
0.028109276667237282,
-0.01272332388907671,
0.21321171522140503,
0.8459242582321167,
0.2306484878063202,
-0.9633622169494629,
-0.9401684999465942,
-0.6493713855743408,
-0.1295819431543... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__examplei-all-929d48-1748861029 | autoevaluate | 2022-10-13T17:20:41Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-13T17:20:41Z | 2022-10-13T15:48:24.000Z | 2022-10-13T15:48:24 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/examplei
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-3b
metrics: ['f1']
dataset_name: phpthinh/examplei
dataset_config: all
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-3b
* Dataset: phpthinh/examplei
* Config: all
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.2319754809141159,
-0.3692419230937958,
0.5577555298805237,
0.20697109401226044,
-0.07607564330101013,
-0.1321984827518463,
0.006491461303085089,
-0.45084190368652344,
0.030412957072257996,
0.32641345262527466,
-0.954401433467865,
-0.320495069026947,
-0.6320956349372864,
0.00617628032341... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__examplei-all-929d48-1748861031 | autoevaluate | 2022-10-13T17:05:40Z | 15 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-13T17:05:40Z | 2022-10-13T15:48:25.000Z | 2022-10-13T15:48:25 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/examplei
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b7
metrics: ['f1']
dataset_name: phpthinh/examplei
dataset_config: all
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b7
* Dataset: phpthinh/examplei
* Config: all
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@phpthinh](https://huggingface.co/phpthinh) for evaluating this model. | [
-0.23845431208610535,
-0.35536038875579834,
0.5063114166259766,
0.14377450942993164,
-0.09608463197946548,
-0.11098015308380127,
-0.013854430057108402,
-0.4312591552734375,
0.05246025696396828,
0.32725343108177185,
-0.9868614673614502,
-0.3036973476409912,
-0.6851592063903809,
0.0120425997... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
loubnabnl/language_detection_in_code | loubnabnl | 2022-10-13T16:08:47Z | 15 | 0 | null | [
"region:us"
] | 2022-10-13T16:08:47Z | 2022-10-13T16:08:44.000Z | 2022-10-13T16:08:44 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
williambr/snowmed_signsymptom | williambr | 2022-10-13T17:34:49Z | 15 | 0 | null | [
"license:mit",
"region:us"
] | 2022-10-13T17:34:49Z | 2022-10-13T17:34:31.000Z | 2022-10-13T17:34:31 | ---
license: mit
---
| [
-0.12853392958641052,
-0.18616779148578644,
0.6529127955436707,
0.49436280131340027,
-0.19319361448287964,
0.23607419431209564,
0.36072003841400146,
0.050563063472509384,
0.579365611076355,
0.7400140762329102,
-0.6508104205131531,
-0.23783954977989197,
-0.7102249264717102,
-0.0478260256350... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Whispering-GPT/whisper-transcripts-the-verge | Whispering-GPT | 2022-10-23T10:54:59Z | 15 | 4 | null | [
"region:us"
] | 2022-10-23T10:54:59Z | 2022-10-13T17:58:45.000Z | 2022-10-13T17:58:45 | annotations_creators:
- machine-generated
language:
- en
language_creators:
- crowdsourced
license: []
multilinguality:
- monolingual
paperswithcode_id: wikitext-2
pretty_name: Whisper-Transcripts
size_categories:
- 1M<n<10M
source_datasets:
- original
tags: []
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling | [
-0.3223106861114502,
-0.3397531807422638,
0.1829996407032013,
0.7298169732093811,
-0.05770305171608925,
0.4139038324356079,
-0.26419320702552795,
-0.45445969700813293,
0.5269565582275391,
0.8067718744277954,
-0.7027789950370789,
-0.5767354369163513,
-0.8145018815994263,
0.408646821975708,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
randomwalksky/cup | randomwalksky | 2022-10-14T13:49:09Z | 15 | 0 | null | [
"license:openrail",
"region:us"
] | 2022-10-14T13:49:09Z | 2022-10-14T13:48:10.000Z | 2022-10-14T13:48:10 | ---
license: openrail
---
| [
-0.12853392958641052,
-0.18616779148578644,
0.6529127955436707,
0.49436280131340027,
-0.19319361448287964,
0.23607419431209564,
0.36072003841400146,
0.050563063472509384,
0.579365611076355,
0.7400140762329102,
-0.6508104205131531,
-0.23783954977989197,
-0.7102249264717102,
-0.0478260256350... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
FSDL-Fashion/dummy_swin_pipe | FSDL-Fashion | 2022-10-14T14:33:52Z | 15 | 0 | null | [
"region:us"
] | 2022-10-14T14:33:52Z | 2022-10-14T14:29:08.000Z | 2022-10-14T14:29:08 | ---
dataset_info:
features:
- name: path
dtype: string
- name: embedding
sequence: float32
splits:
- name: train
num_bytes: 416000000
num_examples: 100000
download_size: 420001566
dataset_size: 416000000
---
# Dataset Card for "dummy_swin_pipe"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
-0.33422961831092834,
-0.1785350739955902,
0.07071676105260849,
0.14946740865707397,
-0.30033326148986816,
0.16313232481479645,
0.5458564162254333,
0.13095247745513916,
0.9954148530960083,
0.5669483542442322,
-0.9762329459190369,
-0.7835437655448914,
-0.5057244896888733,
-0.211292445659637... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
DarioFT/chandra-nalaar | DarioFT | 2022-10-14T14:37:39Z | 15 | 0 | null | [
"region:us"
] | 2022-10-14T14:37:39Z | 2022-10-14T14:37:06.000Z | 2022-10-14T14:37:06 | Entry not found | [
-0.3227647542953491,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965083122253,
0.7915717959403992,
0.07618629932403564,
0.7746022343635559,
0.2563222348690033,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Blaise-MR/crowdsourced-movie-poster-demo | Blaise-MR | 2022-10-17T23:38:59Z | 15 | 0 | null | [
"region:us"
] | 2022-10-17T23:38:59Z | 2022-10-14T15:45:22.000Z | 2022-10-14T15:45:22 | Entry not found | [
-0.3227647542953491,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965083122253,
0.7915717959403992,
0.07618629932403564,
0.7746022343635559,
0.2563222348690033,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
arbml/Quran_Hadith | arbml | 2022-10-14T17:45:37Z | 15 | 1 | null | [
"region:us"
] | 2022-10-14T17:45:37Z | 2022-10-14T17:45:31.000Z | 2022-10-14T17:45:31 | ---
dataset_info:
features:
- name: SS
dtype: string
- name: SV
dtype: string
- name: Verse1
dtype: string
- name: TS
dtype: string
- name: TV
dtype: string
- name: Verse2
dtype: string
- name: Label
dtype: string
splits:
- name: train
num_bytes: 7351452
num_examples: 8144
download_size: 2850963
dataset_size: 7351452
---
# Dataset Card for "Quran_Hadith"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
-0.43913283944129944,
-0.15514349937438965,
0.11449957638978958,
0.21933726966381073,
-0.3947884738445282,
-0.10838853567838669,
0.0574398972094059,
0.01387947890907526,
0.6248055696487427,
0.7185524106025696,
-0.6773591637611389,
-0.9635007381439209,
-0.6507776975631714,
-0.24697899818420... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
mesolitica/ms-en-alignment | mesolitica | 2022-10-15T04:34:14Z | 15 | 0 | null | [
"region:us"
] | 2022-10-15T04:34:14Z | 2022-10-15T04:28:30.000Z | 2022-10-15T04:28:30 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
mesolitica/en-ms-alignment | mesolitica | 2022-10-15T04:30:45Z | 15 | 0 | null | [
"region:us"
] | 2022-10-15T04:30:45Z | 2022-10-15T04:28:52.000Z | 2022-10-15T04:28:52 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
mrajbrahma/bodo-words | mrajbrahma | 2022-10-15T04:56:25Z | 15 | 0 | null | [
"license:cc-by-sa-4.0",
"region:us"
] | 2022-10-15T04:56:25Z | 2022-10-15T04:55:31.000Z | 2022-10-15T04:55:31 | ---
license: cc-by-sa-4.0
---
| [
-0.12853367626667023,
-0.18616794049739838,
0.6529126763343811,
0.4943627417087555,
-0.19319313764572144,
0.23607443273067474,
0.36071979999542236,
0.05056338757276535,
0.5793654322624207,
0.7400138974189758,
-0.6508103013038635,
-0.23783987760543823,
-0.710224986076355,
-0.047825977206230... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
mmonaco/peti | mmonaco | 2022-10-15T07:52:21Z | 15 | 0 | null | [
"region:us"
] | 2022-10-15T07:52:21Z | 2022-10-15T07:48:48.000Z | 2022-10-15T07:48:48 | Entry not found | [
-0.3227649927139282,
-0.225684255361557,
0.862226128578186,
0.43461498618125916,
-0.5282987952232361,
0.7012963891029358,
0.7915717363357544,
0.07618629932403564,
0.7746025919914246,
0.2563219666481018,
-0.7852816581726074,
-0.2257382869720459,
-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
idanokim/idan | idanokim | 2022-10-15T08:17:24Z | 15 | 0 | null | [
"region:us"
] | 2022-10-15T08:17:24Z | 2022-10-15T08:16:34.000Z | 2022-10-15T08:16:34 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Harsit/xnli2.0_train_arabic | Harsit | 2022-10-15T09:13:59Z | 15 | 0 | null | [
"region:us"
] | 2022-10-15T09:13:59Z | 2022-10-15T09:13:10.000Z | 2022-10-15T09:13:10 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
deman539/celebrity_in_movie_demo | deman539 | 2022-10-15T14:50:25Z | 15 | 0 | null | [
"region:us"
] | 2022-10-15T14:50:25Z | 2022-10-15T13:33:39.000Z | 2022-10-15T13:33:39 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
0: output
splits:
- name: train
num_bytes: 2237547.0
num_examples: 5
download_size: 1373409
dataset_size: 2237547.0
---
# Dataset Card for "celebrity_in_movie_demo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
-0.4810359477996826,
-0.15743067860603333,
-0.1579807847738266,
0.04372654855251312,
-0.2074228674173355,
0.20484840869903564,
0.29695433378219604,
0.12301085889339447,
0.8652308583259583,
0.41456836462020874,
-1.0318175554275513,
-0.5782805681228638,
-0.5130990743637085,
-0.20248550176620... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
shivi/cheques_sample_data | shivi | 2022-11-05T21:31:01Z | 15 | 0 | null | [
"region:us"
] | 2022-11-05T21:31:01Z | 2022-10-15T22:25:47.000Z | 2022-10-15T22:25:47 | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: test
num_bytes: 7518544.0
num_examples: 400
- name: train
num_bytes: 56481039.4
num_examples: 2800
- name: validation
num_bytes: 15034990.0
num_examples: 800
download_size: 58863727
dataset_size: 79034573.4
---
# Dataset Card for "cheques_sample_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
-0.46572232246398926,
-0.183709979057312,
0.18700899183750153,
-0.081633560359478,
-0.27678030729293823,
-0.0237700454890728,
0.5231167078018188,
-0.1740417182445526,
0.8207574486732483,
0.6979647278785706,
-0.9175325632095337,
-0.7266876101493835,
-0.5567800402641296,
-0.21747392416000366... | null | null | null | null | null | null | null | null | null | null | null | null | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.