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Arkam/jairocalleja | Arkam | 2022-10-08T18:18:29Z | 12 | 0 | null | [
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irenepap/en-it-synthetic-data | irenepap | 2022-10-09T14:41:44Z | 12 | 0 | null | [
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irenepap/en-it-lrs-data | irenepap | 2022-10-09T15:42:33Z | 12 | 0 | null | [
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irenepap/en-it-hrs-data | irenepap | 2022-10-09T15:42:41Z | 12 | 0 | null | [
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osanseviero/english_lang_learning | osanseviero | 2022-10-09T16:52:49Z | 12 | 0 | null | [
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justina/celeb-identities | justina | 2022-10-09T19:15:44Z | 12 | 0 | null | [
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hshetty/celeb-identities | hshetty | 2022-10-09T21:39:44Z | 12 | 0 | null | [
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purnasai/celeb-identities | purnasai | 2022-10-10T03:26:08Z | 12 | 0 | null | [
"region:us"
] | 2022-10-10T03:26:08Z | 2022-10-10T03:26:04.000Z | 2022-10-10T03:26:04 | Entry not found | [
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autoevaluate/autoeval-eval-squad-plain_text-07b8d6-1707959801 | autoevaluate | 2022-10-10T03:43:04Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T03:43:04Z | 2022-10-10T03:40:32.000Z | 2022-10-10T03:40:32 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad
eval_info:
task: extractive_question_answering
model: 21iridescent/distilroberta-base-finetuned-squad2-lwt
metrics: []
dataset_name: squad
dataset_config: plain_text
dataset_split: validation
col_mapping:
context: context
question: question
answers-text: answers.text
answers-answer_start: answers.answer_start
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/distilroberta-base-finetuned-squad2-lwt
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@crazymageqi@gmail.com](https://huggingface.co/crazymageqi@gmail.com) for evaluating this model. | [
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ebeaulac/siriccam-sq-400px-16frag-3-25-valid-pairs | ebeaulac | 2022-10-10T04:26:22Z | 12 | 0 | null | [
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sgavela/cantemistner | sgavela | 2022-10-10T08:04:03Z | 12 | 0 | null | [
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autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-3783aa-1711959846 | autoevaluate | 2022-10-10T13:24:10Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-10T13:24:10Z | 2022-10-10T13:23:08.000Z | 2022-10-10T13:23:08 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- adversarial_qa
eval_info:
task: extractive_question_answering
model: mrp/bert-finetuned-squad
metrics: []
dataset_name: adversarial_qa
dataset_config: adversarialQA
dataset_split: validation
col_mapping:
context: context
question: question
answers-text: answers.text
answers-answer_start: answers.answer_start
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: mrp/bert-finetuned-squad
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@mbartolo](https://huggingface.co/mbartolo) for evaluating this model. | [
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LuisTigre/Bobby | LuisTigre | 2022-10-10T21:38:38Z | 12 | 0 | null | [
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loubnabnl/bigcode_csharp | loubnabnl | 2022-10-10T23:35:32Z | 12 | 0 | null | [
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irenepap/it-en-small-synthetic-data | irenepap | 2022-10-11T01:01:35Z | 12 | 0 | null | [
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irenepap/it-en-small-lrs-data | irenepap | 2022-10-11T01:08:59Z | 12 | 0 | null | [
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mdalvi/sttdemotwo | mdalvi | 2022-10-11T03:23:02Z | 12 | 0 | null | [
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] | 2022-10-11T03:23:02Z | 2022-10-11T03:21:53.000Z | 2022-10-11T03:21:53 | Entry not found | [
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RTT1/SentiMix | RTT1 | 2022-10-11T05:43:18Z | 12 | 0 | null | [
"license:openrail",
"region:us"
] | 2022-10-11T05:43:18Z | 2022-10-11T05:41:56.000Z | 2022-10-11T05:41:56 | ---
license: openrail
---
| [
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umair894/rvl_cdip_300_examples_per_class | umair894 | 2022-10-11T07:10:15Z | 12 | 0 | null | [
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umair894/rvl_cdip_300_examples_per_class_donut_v2 | umair894 | 2022-10-11T07:13:01Z | 12 | 0 | null | [
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loubnabnl/language_id_bigcode | loubnabnl | 2022-10-11T15:00:19Z | 12 | 0 | null | [
"region:us"
] | 2022-10-11T15:00:19Z | 2022-10-11T15:00:14.000Z | 2022-10-11T15:00:14 | Entry not found | [
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SadNoodle/fumo | SadNoodle | 2022-10-11T15:56:42Z | 12 | 0 | null | [
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kytychka/wineyard_test | kytychka | 2022-10-11T16:09:27Z | 12 | 0 | null | [
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] | 2022-10-11T16:09:27Z | 2022-10-11T16:02:47.000Z | 2022-10-11T16:02:47 | Entry not found | [
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autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-2953e3-1725560272 | autoevaluate | 2022-10-11T18:26:56Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-11T18:26:56Z | 2022-10-11T18:26:04.000Z | 2022-10-11T18:26:04 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- adversarial_qa
eval_info:
task: extractive_question_answering
model: 21iridescent/distilbert-base-uncased-finetuned-squad
metrics: []
dataset_name: adversarial_qa
dataset_config: adversarialQA
dataset_split: validation
col_mapping:
context: context
question: question
answers-text: answers.text
answers-answer_start: answers.answer_start
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/distilbert-base-uncased-finetuned-squad
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@smalllotus](https://huggingface.co/smalllotus) for evaluating this model. | [
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din0s/ccmatrix_en-it_lrs_backtranslated | din0s | 2022-10-11T19:16:55Z | 12 | 0 | null | [
"region:us"
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henryscheible/stereoset | henryscheible | 2022-10-11T19:39:05Z | 12 | 0 | null | [
"region:us"
] | 2022-10-11T19:39:05Z | 2022-10-11T19:38:58.000Z | 2022-10-11T19:38:58 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
LuisTigre/SYTV | LuisTigre | 2022-10-11T21:59:09Z | 12 | 0 | null | [
"region:us"
] | 2022-10-11T21:59:09Z | 2022-10-11T21:57:59.000Z | 2022-10-11T21:57:59 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
tadeyina/celeb-identities | tadeyina | 2022-10-15T22:46:29Z | 12 | 0 | null | [
"region:us"
] | 2022-10-15T22:46:29Z | 2022-10-11T22:46:10.000Z | 2022-10-11T22:46:10 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
0: Brad_Pitt
1: Donald_Trump
2: Johnny_Depp
3: Kanye
4: Obama
splits:
- name: train
num_bytes: 370023.0
num_examples: 15
download_size: 368139
dataset_size: 370023.0
---
# Dataset Card for "celeb-identities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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f1x10n/tommy | f1x10n | 2022-10-11T23:31:41Z | 12 | 0 | null | [
"region:us"
] | 2022-10-11T23:31:41Z | 2022-10-11T23:21:10.000Z | 2022-10-11T23:21:10 | Entry not found | [
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awacke1/WikipediaSearchMemory | awacke1 | 2022-10-12T01:15:38Z | 12 | 1 | null | [
"license:apache-2.0",
"region:us"
] | 2022-10-12T01:15:38Z | 2022-10-12T01:14:12.000Z | 2022-10-12T01:14:12 | ---
license: apache-2.0
---
| [
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acaele/yo | acaele | 2022-10-12T02:30:44Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T02:30:44Z | 2022-10-12T02:30:05.000Z | 2022-10-12T02:30:05 | Entry not found | [
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-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Austenooo/Snow_White_Images | Austenooo | 2022-10-12T02:54:19Z | 12 | 0 | null | [
"license:openrail",
"region:us"
] | 2022-10-12T02:54:19Z | 2022-10-12T02:52:04.000Z | 2022-10-12T02:52:04 | ---
license: openrail
---
| [
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Miscio/TEST | Miscio | 2022-10-12T03:21:12Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T03:21:12Z | 2022-10-12T03:18:42.000Z | 2022-10-12T03:18:42 | Entry not found | [
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autoevaluate/autoeval-eval-phpthinh__exampleem-raw-eb2c05-1728660343 | autoevaluate | 2022-10-12T04:15:09Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T04:15:09Z | 2022-10-12T03:45:05.000Z | 2022-10-12T03:45:05 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampleem
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-3b
metrics: []
dataset_name: phpthinh/exampleem
dataset_config: raw
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/exampleem
* Config: raw
* 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. | [
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0.00779388798... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampleem-filter-918293-1728760345 | autoevaluate | 2022-10-12T03:54:26Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T03:54:26Z | 2022-10-12T03:45:06.000Z | 2022-10-12T03:45:06 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampleem
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-560m
metrics: []
dataset_name: phpthinh/exampleem
dataset_config: filter
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/exampleem
* Config: filter
* 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. | [
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0.0096554467454... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampleem-filter-918293-1728760348 | autoevaluate | 2022-10-12T04:14:40Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T04:14:40Z | 2022-10-12T03:45:06.000Z | 2022-10-12T03:45:06 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampleem
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-3b
metrics: []
dataset_name: phpthinh/exampleem
dataset_config: filter
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/exampleem
* Config: filter
* 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. | [
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0.010354221... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampleem-filter-918293-1728760347 | autoevaluate | 2022-10-12T04:05:55Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T04:05:55Z | 2022-10-12T03:45:06.000Z | 2022-10-12T03:45:06 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampleem
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b7
metrics: []
dataset_name: phpthinh/exampleem
dataset_config: filter
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/exampleem
* Config: filter
* 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. | [
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0.0175283402204513... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampleem-raw-eb2c05-1728660340 | autoevaluate | 2022-10-12T03:54:50Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T03:54:50Z | 2022-10-12T03:45:07.000Z | 2022-10-12T03:45:07 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampleem
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-560m
metrics: []
dataset_name: phpthinh/exampleem
dataset_config: raw
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/exampleem
* Config: raw
* 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. | [
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autoevaluate/autoeval-eval-phpthinh__exampleem-raw-eb2c05-1728660342 | autoevaluate | 2022-10-12T04:05:21Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T04:05:21Z | 2022-10-12T03:45:08.000Z | 2022-10-12T03:45:08 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampleem
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b7
metrics: []
dataset_name: phpthinh/exampleem
dataset_config: raw
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/exampleem
* Config: raw
* 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. | [
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0.0151415029540658... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-phpthinh__exampleem-filter-918293-1728760346 | autoevaluate | 2022-10-12T03:58:57Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T03:58:57Z | 2022-10-12T03:45:08.000Z | 2022-10-12T03:45:08 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampleem
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b1
metrics: []
dataset_name: phpthinh/exampleem
dataset_config: filter
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/exampleem
* Config: filter
* 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. | [
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autoevaluate/autoeval-eval-phpthinh__exampleem-raw-eb2c05-1728660341 | autoevaluate | 2022-10-12T03:57:52Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T03:57:52Z | 2022-10-12T03:45:08.000Z | 2022-10-12T03:45:08 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampleem
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b1
metrics: []
dataset_name: phpthinh/exampleem
dataset_config: raw
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/exampleem
* Config: raw
* 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. | [
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autoevaluate/autoeval-eval-phpthinh__exampleem-raw-eb2c05-1728660344 | autoevaluate | 2022-10-12T05:09:11Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T05:09:11Z | 2022-10-12T03:45:09.000Z | 2022-10-12T03:45:09 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampleem
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-7b1
metrics: []
dataset_name: phpthinh/exampleem
dataset_config: raw
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/exampleem
* Config: raw
* 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. | [
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autoevaluate/autoeval-eval-phpthinh__exampleem-filter-918293-1728760349 | autoevaluate | 2022-10-12T05:07:59Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T05:07:59Z | 2022-10-12T03:45:12.000Z | 2022-10-12T03:45:12 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/exampleem
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-7b1
metrics: []
dataset_name: phpthinh/exampleem
dataset_config: filter
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/exampleem
* Config: filter
* 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. | [
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ziyangzzz/images | ziyangzzz | 2022-10-12T05:40:41Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T05:40:41Z | 2022-10-12T05:26:56.000Z | 2022-10-12T05:26:56 | Entry not found | [
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ejcho623/undraw-raw | ejcho623 | 2022-10-12T19:03:19Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T19:03:19Z | 2022-10-12T07:22:08.000Z | 2022-10-12T07:22:08 | Woot! | [
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autoevaluate/autoeval-eval-phpthinh__examplehsd-raw-ff3db7-1730160385 | autoevaluate | 2022-10-12T08:14:48Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T08:14:48Z | 2022-10-12T07:33:34.000Z | 2022-10-12T07:33:34 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/examplehsd
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-560m
metrics: ['f1']
dataset_name: phpthinh/examplehsd
dataset_config: raw
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/examplehsd
* Config: raw
* 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. | [
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autoevaluate/autoeval-eval-phpthinh__examplehsd-raw-ff3db7-1730160386 | autoevaluate | 2022-10-12T08:26:31Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T08:26:31Z | 2022-10-12T07:33:34.000Z | 2022-10-12T07:33:34 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/examplehsd
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b1
metrics: ['f1']
dataset_name: phpthinh/examplehsd
dataset_config: raw
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/examplehsd
* Config: raw
* 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. | [
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autoevaluate/autoeval-eval-phpthinh__examplehsd-raw-ff3db7-1730160389 | autoevaluate | 2022-10-12T13:23:31Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T13:23:31Z | 2022-10-12T07:33:35.000Z | 2022-10-12T07:33:35 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/examplehsd
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-7b1
metrics: ['f1']
dataset_name: phpthinh/examplehsd
dataset_config: raw
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/examplehsd
* Config: raw
* 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. | [
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autoevaluate/autoeval-eval-phpthinh__examplehsd-raw-ff3db7-1730160388 | autoevaluate | 2022-10-12T09:34:26Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T09:34:26Z | 2022-10-12T07:33:36.000Z | 2022-10-12T07:33:36 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/examplehsd
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-3b
metrics: ['f1']
dataset_name: phpthinh/examplehsd
dataset_config: raw
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/examplehsd
* Config: raw
* 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. | [
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autoevaluate/autoeval-eval-phpthinh__examplehsd-raw-ff3db7-1730160387 | autoevaluate | 2022-10-12T08:59:02Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T08:59:02Z | 2022-10-12T07:35:15.000Z | 2022-10-12T07:35:15 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- phpthinh/examplehsd
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b7
metrics: ['f1']
dataset_name: phpthinh/examplehsd
dataset_config: raw
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/examplehsd
* Config: raw
* 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. | [
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memepottaboah/mdc-256 | memepottaboah | 2022-10-12T07:51:43Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T07:51:43Z | 2022-10-12T07:51:28.000Z | 2022-10-12T07:51:28 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
morinfla/L | morinfla | 2022-10-12T10:01:55Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T10:01:55Z | 2022-10-12T09:57:29.000Z | 2022-10-12T09:57:29 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
mdalvi/sttdemo | mdalvi | 2022-10-12T10:41:20Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T10:41:20Z | 2022-10-12T10:41:15.000Z | 2022-10-12T10:41:15 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
iohadrubin/pg19_bm25_candidates_val_v2 | iohadrubin | 2022-10-12T11:38:42Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T11:38:42Z | 2022-10-12T11:38:14.000Z | 2022-10-12T11:38:14 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Mirrar/Longcu | Mirrar | 2022-10-12T15:31:45Z | 12 | 0 | null | [
"license:mpl-2.0",
"region:us"
] | 2022-10-12T15:31:45Z | 2022-10-12T12:03:21.000Z | 2022-10-12T12:03:21 | ---
license: mpl-2.0
---
| [
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autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-e08cac-1731660420 | autoevaluate | 2022-10-12T12:16:04Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T12:16:04Z | 2022-10-12T12:15:18.000Z | 2022-10-12T12:15:18 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- mathemakitten/winobias_antistereotype_test
eval_info:
task: text_zero_shot_classification
model: gpt2
metrics: []
dataset_name: mathemakitten/winobias_antistereotype_test
dataset_config: mathemakitten--winobias_antistereotype_test
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: mathemakitten/winobias_antistereotype_test
* Config: mathemakitten--winobias_antistereotype_test
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@tomekkorbak](https://huggingface.co/tomekkorbak) for evaluating this model. | [
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allenai/multixscience_dense_max | allenai | 2022-11-18T19:56:15Z | 12 | 1 | multi-xscience | [
"task_categories:summarization",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-18T19:56:15Z | 2022-10-12T13:29:58.000Z | 2022-10-12T13:29:58 | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
paperswithcode_id: multi-xscience
pretty_name: Multi-XScience
---
This is a copy of the [Multi-XScience](https://huggingface.co/datasets/multi_x_science_sum) dataset, except the input source documents of its `test` split have been replaced by a __dense__ retriever. The retrieval pipeline used:
- __query__: The `related_work` field of each example
- __corpus__: The union of all documents in the `train`, `validation` and `test` splits
- __retriever__: [`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
- __top-k strategy__: `"max"`, i.e. the number of documents retrieved, `k`, is set as the maximum number of documents seen across examples in this dataset, in this case `k==20`
Retrieval results on the `train` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.5270 | 0.2005 | 0.0573 | 0.3785 |
Retrieval results on the `validation` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.5310 | 0.2026 | 0.059 | 0.3831 |
Retrieval results on the `test` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.5229 | 0.2081 | 0.058 | 0.3794 | | [
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0.10683368891477... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
allenai/multixscience_dense_mean | allenai | 2022-11-18T19:58:51Z | 12 | 0 | multi-xscience | [
"task_categories:summarization",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-18T19:58:51Z | 2022-10-12T13:30:21.000Z | 2022-10-12T13:30:21 | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
paperswithcode_id: multi-xscience
pretty_name: Multi-XScience
---
This is a copy of the [Multi-XScience](https://huggingface.co/datasets/multi_x_science_sum) dataset, except the input source documents of its `train`, `validation` and `test` splits have been replaced by a __dense__ retriever. The retrieval pipeline used:
- __query__: The `related_work` field of each example
- __corpus__: The union of all documents in the `train`, `validation` and `test` splits
- __retriever__: [`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
- __top-k strategy__: `"max"`, i.e. the number of documents retrieved, `k`, is set as the maximum number of documents seen across examples in this dataset, in this case `k==4`
Retrieval results on the `train` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.5270 | 0.2005 | 0.1551 | 0.2357 |
Retrieval results on the `validation` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.5310 | 0.2026 | 0.1603 | 0.2432 |
Retrieval results on the `test` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.5229 | 0.2081 | 0.1612 | 0.2440 | | [
-0.3456762135028839,
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-0.7162868976593018,
0.1268835961818695... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
allenai/ms2_dense_max | allenai | 2022-11-18T19:47:42Z | 12 | 0 | multi-document-summarization | [
"task_categories:summarization",
"task_categories:text2text-generation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other-MS^2",
"source_datasets:extended|other-Cochrane",
"lang... | 2022-11-18T19:47:42Z | 2022-10-12T14:04:40.000Z | 2022-10-12T14:04:40 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-MS^2
- extended|other-Cochrane
task_categories:
- summarization
- text2text-generation
paperswithcode_id: multi-document-summarization
pretty_name: MSLR Shared Task
---
This is a copy of the [MS^2](https://huggingface.co/datasets/allenai/mslr2022) dataset, except the input source documents of its `validation` split have been replaced by a __dense__ retriever. The retrieval pipeline used:
- __query__: The `background` field of each example
- __corpus__: The union of all documents in the `train`, `validation` and `test` splits. A document is the concatenation of the `title` and `abstract`.
- __retriever__: [`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
- __top-k strategy__: `"max"`, i.e. the number of documents retrieved, `k`, is set as the maximum number of documents seen across examples in this dataset, in this case `k==25`
Retrieval results on the `train` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.4764 | 0.2395 | 0.1932 | 0.2895 |
Retrieval results on the `validation` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.4364 | 0.2125 | 0.1823 | 0.2524 |
Retrieval results on the `test` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.4481 | 0.2224 | 0.1943 | 0.2567 | | [
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-0.8140072822570801,
0.1039435341... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
fafandroso/SDTrainingImg | fafandroso | 2022-10-12T18:49:06Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T18:49:06Z | 2022-10-12T18:42:41.000Z | 2022-10-12T18:42:41 | Entry not found | [
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0.5715674161911011,
-... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-b079e4-1737160612 | autoevaluate | 2022-10-12T19:01:30Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-12T19:01:30Z | 2022-10-12T19:00:37.000Z | 2022-10-12T19:00:37 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- adversarial_qa
eval_info:
task: extractive_question_answering
model: Adrian/distilbert-base-uncased-finetuned-squad-colab
metrics: []
dataset_name: adversarial_qa
dataset_config: adversarialQA
dataset_split: validation
col_mapping:
context: context
question: question
answers-text: answers.text
answers-answer_start: answers.answer_start
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: Adrian/distilbert-base-uncased-finetuned-squad-colab
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@saad](https://huggingface.co/saad) for evaluating this model. | [
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allenai/multinews_dense_max | allenai | 2022-11-11T01:29:44Z | 12 | 0 | multi-news | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:other",
"region:us"
] | 2022-11-11T01:29:44Z | 2022-10-12T19:15:14.000Z | 2022-10-12T19:15:14 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- other
multilinguality:
- monolingual
pretty_name: Multi-News
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
task_ids:
- news-articles-summarization
paperswithcode_id: multi-news
train-eval-index:
- config: default
task: summarization
task_id: summarization
splits:
train_split: train
eval_split: test
col_mapping:
document: text
summary: target
metrics:
- type: rouge
name: Rouge
---
This is a copy of the [Multi-News](https://huggingface.co/datasets/multi_news) dataset, except the input source documents of its `test` split have been replaced by a __dense__ retriever. The retrieval pipeline used:
- __query__: The `summary` field of each example
- __corpus__: The union of all documents in the `train`, `validation` and `test` splits
- __retriever__: [`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
- __top-k strategy__: `"max"`, i.e. the number of documents retrieved, `k`, is set as the maximum number of documents seen across examples in this dataset, in this case `k==10`
Retrieval results on the `train` set:
Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.8661 | 0.6867 | 0.2118 | 0.7966 |
Retrieval results on the `validation` set:
Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.8626 | 0.6859 | 0.2083 | 0.7949 |
Retrieval results on the `test` set:
Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.8625 | 0.6927 | 0.2096 | 0.7971 | | [
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0.044541180133819... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
allenai/multinews_dense_mean | allenai | 2022-11-19T04:38:47Z | 12 | 0 | multi-news | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:other",
"region:us"
] | 2022-11-19T04:38:47Z | 2022-10-12T19:17:57.000Z | 2022-10-12T19:17:57 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- other
multilinguality:
- monolingual
pretty_name: Multi-News
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
task_ids:
- news-articles-summarization
paperswithcode_id: multi-news
train-eval-index:
- config: default
task: summarization
task_id: summarization
splits:
train_split: train
eval_split: test
col_mapping:
document: text
summary: target
metrics:
- type: rouge
name: Rouge
---
This is a copy of the [Multi-News](https://huggingface.co/datasets/multi_news) dataset, except the input source documents of its `train`, `validation` and `test` splits have been replaced by a __dense__ retriever. The retrieval pipeline used:
- __query__: The `summary` field of each example
- __corpus__: The union of all documents in the `train`, `validation` and `test` splits
- __retriever__: [`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
- __top-k strategy__: `"max"`, i.e. the number of documents retrieved, `k`, is set as the maximum number of documents seen across examples in this dataset, in this case `k==3`
Retrieval results on the `train` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.8661 | 0.6867 | 0.5936 | 0.6917 |
Retrieval results on the `validation` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.8626 | 0.6859 | 0.5874 | 0.6925 |
Retrieval results on the `test` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.8625 | 0.6927 | 0.5938 | 0.6993 | | [
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0.05494742467999... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
allenai/multinews_dense_oracle | allenai | 2022-11-12T04:10:53Z | 12 | 1 | multi-news | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:other",
"region:us"
] | 2022-11-12T04:10:53Z | 2022-10-12T19:18:35.000Z | 2022-10-12T19:18:35 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- other
multilinguality:
- monolingual
pretty_name: Multi-News
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
task_ids:
- news-articles-summarization
paperswithcode_id: multi-news
train-eval-index:
- config: default
task: summarization
task_id: summarization
splits:
train_split: train
eval_split: test
col_mapping:
document: text
summary: target
metrics:
- type: rouge
name: Rouge
---
This is a copy of the [Multi-News](https://huggingface.co/datasets/multi_news) dataset, except the input source documents of the `train`, `validation`, and `test` splits have been replaced by a __dense__ retriever. The retrieval pipeline used:
- __query__: The `summary` field of each example
- __corpus__: The union of all documents in the `train`, `validation` and `test` splits
- __retriever__: [`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
- __top-k strategy__: `"oracle"`, i.e. the number of documents retrieved, `k`, is set as the original number of input documents for each example
Retrieval results on the `train` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.8661 | 0.6867 | 0.6867 | 0.6867 |
Retrieval results on the `validation` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.8626 | 0.6859 | 0.6859 | 0.6859 |
Retrieval results on the `test` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.8625 | 0.6927 | 0.6927 | 0.6927 | | [
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-0.7361375093460083,
-0.01724134571850... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
ishtna/victor | ishtna | 2022-10-12T20:28:27Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T20:28:27Z | 2022-10-12T20:24:11.000Z | 2022-10-12T20:24:11 | Entry not found | [
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0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
severo/degit-test-repo | severo | 2022-10-12T21:27:50Z | 12 | 0 | null | [
"region:us"
] | 2022-10-12T21:27:50Z | 2022-10-12T21:07:47.000Z | 2022-10-12T21:07:47 | Entry not found | [
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-0.9104480743408203,
0.5715669393539429,
-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
DavidBatista/ImageFolder | DavidBatista | 2022-10-12T21:34:08Z | 12 | 0 | null | [
"license:artistic-2.0",
"region:us"
] | 2022-10-12T21:34:08Z | 2022-10-12T21:12:20.000Z | 2022-10-12T21:12:20 | ---
license: artistic-2.0
---
| [
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-0.047825977206230... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
peth/images | peth | 2022-10-13T00:10:32Z | 12 | 0 | null | [
"doi:10.57967/hf/0040",
"region:us"
] | 2022-10-13T00:10:32Z | 2022-10-12T23:44:58.000Z | 2022-10-12T23:44:58 | Entry not found | [
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-0... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
zhengxuanzenwu/wikitext-2-split-128 | zhengxuanzenwu | 2022-10-13T00:11:29Z | 12 | 0 | null | [
"region:us"
] | 2022-10-13T00:11:29Z | 2022-10-13T00:09:49.000Z | 2022-10-13T00:09:49 | This is a dataset created from the WikiText-2 dataset by splitting longer sequences into sequences with maximum of 128 tokens after using a wordpiece tokenizer. | [
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0.0661638826131... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
clandaetabio/cairlos | clandaetabio | 2022-10-13T02:42:54Z | 12 | 0 | null | [
"region:us"
] | 2022-10-13T02:42:54Z | 2022-10-13T02:18:25.000Z | 2022-10-13T02:18:25 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
maxwellfoley/corporate-surrealist-training | maxwellfoley | 2022-11-15T05:09:29Z | 12 | 1 | null | [
"region:us"
] | 2022-11-15T05:09:29Z | 2022-10-13T03:09:30.000Z | 2022-10-13T03:09:30 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 226883173.0
num_examples: 507
download_size: 221334520
dataset_size: 226883173.0
---
# Dataset Card for "corporate-surrealist-training"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
esvazas/celeb-identities | esvazas | 2022-10-13T04:34:42Z | 12 | 0 | null | [
"region:us"
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fcabanilla/Tobby | fcabanilla | 2022-10-13T06:27:40Z | 12 | 0 | null | [
"license:mit",
"region:us"
] | 2022-10-13T06:27:40Z | 2022-10-13T06:26:24.000Z | 2022-10-13T06:26:24 | ---
license: mit
---
| [
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ejcho623/shoes | ejcho623 | 2022-10-13T07:46:23Z | 12 | 0 | null | [
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autoevaluate/autoeval-eval-phpthinh__examplei-mismatch-1389aa-1748961036 | autoevaluate | 2022-10-13T15:55:31Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-13T15:55:31Z | 2022-10-13T15:48:54.000Z | 2022-10-13T15:48:54 | ---
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: mismatch
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: mismatch
* 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. | [
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FSDL-Fashion/dummy_swin_pipe_5k | FSDL-Fashion | 2022-10-14T12:46:02Z | 12 | 0 | null | [
"region:us"
] | 2022-10-14T12:46:02Z | 2022-10-14T12:45:57.000Z | 2022-10-14T12:45:57 | ---
dataset_info:
features:
- name: path
dtype: string
- name: embedding
sequence: float32
splits:
- name: train
num_bytes: 20800000
num_examples: 5000
download_size: 21312459
dataset_size: 20800000
---
# Dataset Card for "dummy_swin_pipe_5k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vattvar/capstone_test | vattvar | 2022-10-14T18:23:14Z | 12 | 0 | null | [
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arbml/MArSum | arbml | 2022-10-14T22:42:35Z | 12 | 0 | null | [
"region:us"
] | 2022-10-14T22:42:35Z | 2022-10-14T22:42:30.000Z | 2022-10-14T22:42:30 | ---
dataset_info:
features:
- name: text
dtype: string
- name: summary
dtype: string
splits:
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num_bytes: 3332778
num_examples: 1981
download_size: 1743254
dataset_size: 3332778
---
# Dataset Card for "MArSum"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Mbermudez/mike | Mbermudez | 2022-10-15T15:43:53Z | 12 | 0 | null | [
"license:openrail",
"region:us"
] | 2022-10-15T15:43:53Z | 2022-10-15T15:43:32.000Z | 2022-10-15T15:43:32 | ---
license: openrail
---
| [
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autoevaluate/autoeval-eval-lener_br-lener_br-c186f5-1776861661 | autoevaluate | 2022-10-16T12:51:38Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:51:38Z | 2022-10-16T12:48:41.000Z | 2022-10-16T12:48:41 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- lener_br
eval_info:
task: entity_extraction
model: Luciano/xlm-roberta-base-finetuned-lener-br
metrics: []
dataset_name: lener_br
dataset_config: lener_br
dataset_split: train
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/xlm-roberta-base-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@Luciano](https://huggingface.co/Luciano) for evaluating this model. | [
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autoevaluate/autoeval-eval-lener_br-lener_br-280a5d-1776961679 | autoevaluate | 2022-10-16T13:19:52Z | 12 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T13:19:52Z | 2022-10-16T13:18:44.000Z | 2022-10-16T13:18:44 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- lener_br
eval_info:
task: entity_extraction
model: pierreguillou/ner-bert-large-cased-pt-lenerbr
metrics: []
dataset_name: lener_br
dataset_config: lener_br
dataset_split: test
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: pierreguillou/ner-bert-large-cased-pt-lenerbr
* Dataset: lener_br
* Config: lener_br
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@Luciano](https://huggingface.co/Luciano) for evaluating this model. | [
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saidmoya12/yova | saidmoya12 | 2022-10-17T04:02:54Z | 12 | 0 | null | [
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estealbertosanz/images | estealbertosanz | 2022-10-17T18:02:21Z | 12 | 0 | null | [
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IIC/conll_tests | IIC | 2022-10-17T08:44:02Z | 12 | 0 | null | [
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IIC/wnli_tests | IIC | 2022-10-24T14:16:30Z | 12 | 0 | null | [
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yzhou-youpi/avatar | yzhou-youpi | 2022-10-17T09:28:34Z | 12 | 0 | null | [
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Starkluks/img | Starkluks | 2022-10-17T13:22:51Z | 12 | 0 | null | [
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JeremiahZ/simcse_unsup_wiki | JeremiahZ | 2022-10-17T13:32:42Z | 12 | 0 | null | [
"region:us"
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JeremiahZ/simcse_sup_nli | JeremiahZ | 2022-10-17T13:33:58Z | 12 | 0 | null | [
"region:us"
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creaoy/me | creaoy | 2022-10-17T14:25:02Z | 12 | 0 | null | [
"license:apache-2.0",
"region:us"
] | 2022-10-17T14:25:02Z | 2022-10-17T14:20:56.000Z | 2022-10-17T14:20:56 | ---
license: apache-2.0
---
| [
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Nyckelpiga/images | Nyckelpiga | 2022-10-17T17:19:59Z | 12 | 0 | null | [
"license:other",
"region:us"
] | 2022-10-17T17:19:59Z | 2022-10-17T14:49:35.000Z | 2022-10-17T14:49:35 | ---
license: other
---
#@markdown Add here the URLs to the images of the concept you are adding. 3-5 should be fine
urls = [
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_3228-01_512.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_3228-01_512_02.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_3229-01_512.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_3229-01_512.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_3229-01_512_02.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_3870-01-edit-02_crop_512.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_4520_512.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_4589-01_512.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_4622-01-crop_512.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/ScanImage066_crop_512.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_4589-01_512.png",
"https://huggingface.co/datasets/Nyckelpiga/images/resolve/main/CRW_3348-01_512.png",
] | [
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shahidul034/error_correction_model_dataset_raw | shahidul034 | 2022-10-17T14:54:36Z | 12 | 0 | null | [
"region:us"
] | 2022-10-17T14:54:36Z | 2022-10-17T14:52:04.000Z | 2022-10-17T14:52:04 | ---
dataset_info:
features:
- name: content
dtype: string
splits:
- name: train
num_bytes: 706774777.602151
num_examples: 4141927
download_size: 301173004
dataset_size: 706774777.602151
---
# Dataset Card for "error_correction_model_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Kavindu99/crowdsourced-movie-poster-demo | Kavindu99 | 2022-10-23T19:04:51Z | 12 | 0 | null | [
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RKoops/celebrity-set-dataset | RKoops | 2022-10-20T18:20:26Z | 12 | 0 | null | [
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FrancescaFr/poster-generator-demo | FrancescaFr | 2022-10-18T02:08:26Z | 12 | 0 | null | [
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hectorrajado/Tina | hectorrajado | 2022-10-17T16:39:08Z | 12 | 0 | null | [
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elisachen/example_dataset | elisachen | 2022-10-17T17:55:11Z | 12 | 0 | null | [
"license:bsd",
"region:us"
] | 2022-10-17T17:55:11Z | 2022-10-17T17:54:10.000Z | 2022-10-17T17:54:10 | ---
license: bsd
---
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Yayun/nba-dataset-2 | Yayun | 2022-10-17T17:55:22Z | 12 | 0 | null | [
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Emmawang/newsdataset | Emmawang | 2022-10-19T17:37:48Z | 12 | 0 | null | [
"license:bsd",
"region:us"
] | 2022-10-19T17:37:48Z | 2022-10-17T17:54:17.000Z | 2022-10-17T17:54:17 | ---
license: bsd
---
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suzyanil/nba-data | suzyanil | 2022-10-17T17:54:58Z | 12 | 0 | null | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-10-17T17:54:58Z | 2022-10-17T17:54:25.000Z | 2022-10-17T17:54:25 | ---
license: creativeml-openrail-m
---
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