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Harsit/xnli2.0_train_turkish | Harsit | 2022-10-15T09:24:44Z | 18 | 0 | null | [
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Harsit/xnli2.0_train_vietnamese | Harsit | 2022-10-15T09:26:36Z | 18 | 0 | null | [
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Harsit/xnli2.0_train_urdu | Harsit | 2022-10-15T09:30:11Z | 18 | 0 | null | [
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mercedesqui/dota2 | mercedesqui | 2022-10-15T11:21:55Z | 18 | 0 | null | [
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VeryPiroPlayer/Training | VeryPiroPlayer | 2022-10-15T10:51:03Z | 18 | 0 | null | [
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Michaelber123/mike | Michaelber123 | 2022-10-15T13:26:50Z | 18 | 0 | null | [
"license:artistic-2.0",
"region:us"
] | 2022-10-15T13:26:50Z | 2022-10-15T13:25:52.000Z | 2022-10-15T13:25:52 | ---
license: artistic-2.0
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jaxmetaverse/wukong | jaxmetaverse | 2022-10-16T02:07:16Z | 18 | 0 | null | [
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license: openrail
---
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autoevaluate/autoeval-eval-inverse-scaling__NeQA-inverse-scaling__NeQA-4df82b-1769161494 | autoevaluate | 2022-10-15T16:03:51Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
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type: predictions
tags:
- autotrain
- evaluation
datasets:
- inverse-scaling/NeQA
eval_info:
task: text_zero_shot_classification
model: gpt2-xl
metrics: []
dataset_name: inverse-scaling/NeQA
dataset_config: inverse-scaling--NeQA
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: gpt2-xl
* Dataset: inverse-scaling/NeQA
* Config: inverse-scaling--NeQA
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@rololbot](https://huggingface.co/rololbot) for evaluating this model. | [
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deman539/celebrity_movie_demo | deman539 | 2022-10-15T17:51:55Z | 18 | 0 | null | [
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pablofv/fotospablo | pablofv | 2022-10-16T13:45:40Z | 18 | 0 | null | [
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alexinigoc/DatasetTraining | alexinigoc | 2022-10-15T21:04:07Z | 18 | 0 | null | [
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"region:us"
] | 2022-10-15T21:04:07Z | 2022-10-15T21:03:44.000Z | 2022-10-15T21:03:44 | ---
license: afl-3.0
---
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arbml/Iraqi_Dialect | arbml | 2022-10-15T21:17:07Z | 18 | 0 | null | [
"region:us"
] | 2022-10-15T21:17:07Z | 2022-10-15T21:16:56.000Z | 2022-10-15T21:16:56 | ---
dataset_info:
features:
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2: N
3: 'True'
splits:
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num_bytes: 365478
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download_size: 134999
dataset_size: 365478
---
# Dataset Card for "Iraqi_Dialect"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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arbml/Sudanese_Dialect_Tweet | arbml | 2022-10-15T21:40:01Z | 18 | 0 | null | [
"region:us"
] | 2022-10-15T21:40:01Z | 2022-10-15T21:39:50.000Z | 2022-10-15T21:39:50 | ---
dataset_info:
features:
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splits:
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download_size: 141675
dataset_size: 345088
---
# Dataset Card for "Sudanese_Dialect_Tweet"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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arbml/Sudanese_Dialect_Tweet_Tele | arbml | 2022-10-15T21:47:19Z | 18 | 0 | null | [
"region:us"
] | 2022-10-15T21:47:19Z | 2022-10-15T21:47:08.000Z | 2022-10-15T21:47:08 | ---
dataset_info:
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splits:
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num_bytes: 872272
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download_size: 353611
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---
# Dataset Card for "Sudanese_Dialect_Tweet_Tele"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Romecr/testImages | Romecr | 2022-12-29T21:55:23Z | 18 | 0 | null | [
"license:other",
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license: other
---
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autoevaluate/autoeval-eval-lener_br-lener_br-c4cf3f-1771961515 | autoevaluate | 2022-10-15T21:53:08Z | 18 | 0 | null | [
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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: 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: Luciano/xlm-roberta-base-finetuned-lener-br
* 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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autoevaluate/autoeval-eval-lener_br-lener_br-c4cf3f-1771961516 | autoevaluate | 2022-10-15T21:53:37Z | 18 | 0 | null | [
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"evaluation",
"region:us"
] | 2022-10-15T21:53:37Z | 2022-10-15T21:52:15.000Z | 2022-10-15T21:52:15 | ---
type: predictions
tags:
- autotrain
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datasets:
- lener_br
eval_info:
task: entity_extraction
model: Luciano/xlm-roberta-large-finetuned-lener-br
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: Luciano/xlm-roberta-large-finetuned-lener-br
* 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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arbml/Satirical_Fake_News | arbml | 2022-10-15T22:37:57Z | 18 | 0 | null | [
"region:us"
] | 2022-10-15T22:37:57Z | 2022-10-15T22:37:45.000Z | 2022-10-15T22:37:45 | ---
dataset_info:
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splits:
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download_size: 3223892
dataset_size: 6131349
---
# Dataset Card for "Satirical_Fake_News"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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arbml/NArabizi | arbml | 2022-10-15T22:48:18Z | 18 | 0 | null | [
"region:us"
] | 2022-10-15T22:48:18Z | 2022-10-15T22:47:54.000Z | 2022-10-15T22:47:54 | ---
dataset_info:
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---
# Dataset Card for "NArabizi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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salinas/stabletraining | salinas | 2022-10-15T23:40:50Z | 18 | 0 | null | [
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olm/olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295 | olm | 2022-11-04T17:14:25Z | 18 | 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"
] | 2022-11-04T17:14:25Z | 2022-10-16T03:32:35.000Z | 2022-10-16T03:32:35 | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license: []
multilinguality:
- monolingual
pretty_name: OLM September/October 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 September/October 2022 Common Crawl
Cleaned and deduplicated pretraining dataset, created with the OLM repo [here](https://github.com/huggingface/olm-datasets) from 16% of the September/October 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`. | [
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0.02930383756756782... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
sabsare/pion | sabsare | 2022-10-16T04:33:47Z | 18 | 0 | null | [
"region:us"
] | 2022-10-16T04:33:47Z | 2022-10-16T04:17:35.000Z | 2022-10-16T04:17:35 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Pablo-barquin/BarquinData | Pablo-barquin | 2022-10-16T18:18:18Z | 18 | 0 | null | [
"region:us"
] | 2022-10-16T18:18:18Z | 2022-10-16T09:36:06.000Z | 2022-10-16T09:36:06 | Entry not found | [
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jiyuntu/common_voice_minnan | jiyuntu | 2022-10-16T10:00:03Z | 18 | 1 | null | [
"region:us"
] | 2022-10-16T10:00:03Z | 2022-10-16T09:41:56.000Z | 2022-10-16T09:41:56 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
akashrai/dreambooth_image_training | akashrai | 2022-10-16T10:43:49Z | 18 | 0 | null | [
"license:unknown",
"region:us"
] | 2022-10-16T10:43:49Z | 2022-10-16T10:42:32.000Z | 2022-10-16T10:42:32 | ---
license: unknown
---
| [
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autoevaluate/autoeval-eval-inverse-scaling__NeQA-inverse-scaling__NeQA-e4c053-1775661622 | autoevaluate | 2022-10-16T11:47:19Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T11:47:19Z | 2022-10-16T11:44:20.000Z | 2022-10-16T11:44:20 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- inverse-scaling/NeQA
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b1
metrics: []
dataset_name: inverse-scaling/NeQA
dataset_config: inverse-scaling--NeQA
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: bigscience/bloom-1b1
* Dataset: inverse-scaling/NeQA
* Config: inverse-scaling--NeQA
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@CG80499](https://huggingface.co/CG80499) for evaluating this model. | [
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autoevaluate/autoeval-eval-lener_br-lener_br-b36dee-1776161640 | autoevaluate | 2022-10-16T12:08:15Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:08:15Z | 2022-10-16T12:07:30.000Z | 2022-10-16T12:07:30 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- lener_br
eval_info:
task: entity_extraction
model: Luciano/bertimbau-base-lener_br
metrics: []
dataset_name: lener_br
dataset_config: lener_br
dataset_split: validation
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/bertimbau-base-lener_br
* Dataset: lener_br
* Config: lener_br
* Split: validation
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-b36dee-1776161641 | autoevaluate | 2022-10-16T12:08:41Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:08:41Z | 2022-10-16T12:07:36.000Z | 2022-10-16T12:07:36 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- lener_br
eval_info:
task: entity_extraction
model: Luciano/bertimbau-large-lener_br
metrics: []
dataset_name: lener_br
dataset_config: lener_br
dataset_split: validation
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/bertimbau-large-lener_br
* Dataset: lener_br
* Config: lener_br
* Split: validation
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-b36dee-1776161642 | autoevaluate | 2022-10-16T12:08:35Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:08:35Z | 2022-10-16T12:07:42.000Z | 2022-10-16T12:07:42 | ---
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: validation
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: validation
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-b36dee-1776161643 | autoevaluate | 2022-10-16T12:09:02Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-16T12:09:02Z | 2022-10-16T12:07:47.000Z | 2022-10-16T12:07:47 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- lener_br
eval_info:
task: entity_extraction
model: Luciano/xlm-roberta-large-finetuned-lener-br
metrics: []
dataset_name: lener_br
dataset_config: lener_br
dataset_split: validation
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-large-finetuned-lener-br
* Dataset: lener_br
* Config: lener_br
* Split: validation
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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andresgtn/flagged-find-the-next-james-bond | andresgtn | 2022-10-16T12:52:09Z | 18 | 1 | null | [
"region:us"
] | 2022-10-16T12:52:09Z | 2022-10-16T12:08:39.000Z | 2022-10-16T12:08:39 | Entry not found | [
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Maxstan/russian_youtube_comments_political_and_nonpolitical | Maxstan | 2022-10-18T12:57:07Z | 18 | 0 | null | [
"license:cc-by-nc-4.0",
"region:us"
] | 2022-10-18T12:57:07Z | 2022-10-18T12:40:44.000Z | 2022-10-18T12:40:44 | ---
license: cc-by-nc-4.0
---
The data contains comments from political and nonpolitical Russian-speaking YouTube channels.
Date interval: 1 year between April 30, 2020, and April 30, 2021 | [
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Eddiefloat/gretcha | Eddiefloat | 2022-10-23T16:40:29Z | 18 | 0 | null | [
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Eddiefloat/kiril | Eddiefloat | 2022-10-23T16:41:28Z | 18 | 0 | null | [
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Eddiefloat/Maria | Eddiefloat | 2022-10-23T16:42:51Z | 18 | 0 | null | [
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Eddiefloat/marina2 | Eddiefloat | 2022-10-23T16:43:46Z | 18 | 0 | null | [
"region:us"
] | 2022-10-23T16:43:46Z | 2022-10-23T16:43:17.000Z | 2022-10-23T16:43:17 | Entry not found | [
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Eddiefloat/max | Eddiefloat | 2022-10-23T16:43:55Z | 18 | 0 | null | [
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Eddiefloat/sasha | Eddiefloat | 2022-10-23T16:44:23Z | 18 | 0 | null | [
"region:us"
] | 2022-10-23T16:44:23Z | 2022-10-23T16:43:58.000Z | 2022-10-23T16:43:58 | Entry not found | [
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Eddiefloat/ufosmith | Eddiefloat | 2022-10-23T16:45:02Z | 18 | 0 | null | [
"region:us"
] | 2022-10-23T16:45:02Z | 2022-10-23T16:44:25.000Z | 2022-10-23T16:44:25 | Entry not found | [
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Eddiefloat/varia | Eddiefloat | 2022-10-25T16:39:11Z | 18 | 0 | null | [
"region:us"
] | 2022-10-25T16:39:11Z | 2022-10-23T16:44:45.000Z | 2022-10-23T16:44:45 | Entry not found | [
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Eddiefloat/veronika | Eddiefloat | 2022-10-23T16:45:32Z | 18 | 0 | null | [
"region:us"
] | 2022-10-23T16:45:32Z | 2022-10-23T16:45:15.000Z | 2022-10-23T16:45:15 | Entry not found | [
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Eddiefloat/victoria | Eddiefloat | 2022-10-23T16:46:00Z | 18 | 0 | null | [
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Eddiefloat/vika | Eddiefloat | 2022-10-23T16:46:20Z | 18 | 0 | null | [
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gini007/headshots | gini007 | 2022-10-27T01:26:28Z | 18 | 0 | null | [
"region:us"
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arbml/Senti_Lexicon | arbml | 2022-10-23T17:00:00Z | 18 | 0 | null | [
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arbml/Religious_Hate_Speech | arbml | 2022-10-23T17:02:47Z | 18 | 0 | null | [
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Lloyo/Images | Lloyo | 2022-10-23T17:23:19Z | 18 | 0 | null | [
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Eddiefloat/ioanna | Eddiefloat | 2022-10-23T19:05:33Z | 18 | 0 | null | [
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gini007/ppt | gini007 | 2022-10-23T19:23:47Z | 18 | 0 | null | [
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rufimelo/PortugueseLegalSentences-v1 | rufimelo | 2022-10-24T13:16:43Z | 18 | 1 | null | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:original",
"language:pt",
"license:apache-2.0",
"region:us"
] | 2022-10-24T13:16:43Z | 2022-10-23T19:59:44.000Z | 2022-10-23T19:59:44 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- pt
license:
- apache-2.0
multilinguality:
- monolingual
source_datasets:
- original
---
# Portuguese Legal Sentences
Collection of Legal Sentences from the Portuguese Supreme Court of Justice
The goal of this dataset was to be used for MLM and TSDAE
### Contributions
[@rufimelo99](https://github.com/rufimelo99)
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jeffdshen/redefine_math2_8shot | jeffdshen | 2022-10-23T20:15:28Z | 18 | 0 | null | [
"license:cc-by-2.0",
"region:us"
] | 2022-10-23T20:15:28Z | 2022-10-23T20:14:00.000Z | 2022-10-23T20:14:00 | ---
license: cc-by-2.0
---
| [
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autoevaluate/autoeval-eval-jeffdshen__neqa0_8shot-jeffdshen__neqa0_8shot-5a61bc-1852963397 | autoevaluate | 2022-10-24T02:24:00Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-24T02:24:00Z | 2022-10-23T20:59:41.000Z | 2022-10-23T20:59:41 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/neqa0_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-30b_eval
metrics: []
dataset_name: jeffdshen/neqa0_8shot
dataset_config: jeffdshen--neqa0_8shot
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: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__neqa0_8shot-jeffdshen__neqa0_8shot-5a61bc-1852963393 | autoevaluate | 2022-10-23T21:17:44Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T21:17:44Z | 2022-10-23T20:59:41.000Z | 2022-10-23T20:59:41 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/neqa0_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-1.3b_eval
metrics: []
dataset_name: jeffdshen/neqa0_8shot
dataset_config: jeffdshen--neqa0_8shot
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-1.3b_eval
* Dataset: jeffdshen/neqa0_8shot
* Config: jeffdshen--neqa0_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063400 | autoevaluate | 2022-10-23T21:05:23Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T21:05:23Z | 2022-10-23T20:59:42.000Z | 2022-10-23T20:59:42 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/neqa2_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-350m_eval
metrics: []
dataset_name: jeffdshen/neqa2_8shot
dataset_config: jeffdshen--neqa2_8shot
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-350m_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063402 | autoevaluate | 2022-10-23T21:19:17Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T21:19:17Z | 2022-10-23T20:59:49.000Z | 2022-10-23T20:59:49 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/neqa2_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-2.7b_eval
metrics: []
dataset_name: jeffdshen/neqa2_8shot
dataset_config: jeffdshen--neqa2_8shot
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-2.7b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063401 | autoevaluate | 2022-10-23T21:14:09Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T21:14:09Z | 2022-10-23T20:59:54.000Z | 2022-10-23T20:59:54 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/neqa2_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-1.3b_eval
metrics: []
dataset_name: jeffdshen/neqa2_8shot
dataset_config: jeffdshen--neqa2_8shot
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-1.3b_eval
* Dataset: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__neqa2_8shot-jeffdshen__neqa2_8shot-959823-1853063403 | autoevaluate | 2022-10-23T21:45:29Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T21:45:29Z | 2022-10-23T20:59:55.000Z | 2022-10-23T20:59:55 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/neqa2_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-6.7b_eval
metrics: []
dataset_name: jeffdshen/neqa2_8shot
dataset_config: jeffdshen--neqa2_8shot
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: jeffdshen/neqa2_8shot
* Config: jeffdshen--neqa2_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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0.0009750614... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163408 | autoevaluate | 2022-10-23T21:17:23Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T21:17:23Z | 2022-10-23T21:11:42.000Z | 2022-10-23T21:11:42 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/redefine_math2_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-350m_eval
metrics: []
dataset_name: jeffdshen/redefine_math2_8shot
dataset_config: jeffdshen--redefine_math2_8shot
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-350m_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163409 | autoevaluate | 2022-10-23T21:23:27Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T21:23:27Z | 2022-10-23T21:13:12.000Z | 2022-10-23T21:13:12 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/redefine_math2_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-1.3b_eval
metrics: []
dataset_name: jeffdshen/redefine_math2_8shot
dataset_config: jeffdshen--redefine_math2_8shot
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-1.3b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163410 | autoevaluate | 2022-10-23T21:36:03Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T21:36:03Z | 2022-10-23T21:20:03.000Z | 2022-10-23T21:20:03 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/redefine_math2_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-2.7b_eval
metrics: []
dataset_name: jeffdshen/redefine_math2_8shot
dataset_config: jeffdshen--redefine_math2_8shot
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-2.7b_eval
* Dataset: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163412 | autoevaluate | 2022-10-23T22:27:37Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T22:27:37Z | 2022-10-23T21:23:20.000Z | 2022-10-23T21:23:20 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/redefine_math2_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-13b_eval
metrics: []
dataset_name: jeffdshen/redefine_math2_8shot
dataset_config: jeffdshen--redefine_math2_8shot
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: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163413 | autoevaluate | 2022-10-24T00:15:46Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-24T00:15:46Z | 2022-10-23T21:23:45.000Z | 2022-10-23T21:23:45 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/redefine_math2_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-30b_eval
metrics: []
dataset_name: jeffdshen/redefine_math2_8shot
dataset_config: jeffdshen--redefine_math2_8shot
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: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163414 | autoevaluate | 2022-10-24T03:25:10Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-24T03:25:10Z | 2022-10-23T21:25:09.000Z | 2022-10-23T21:25:09 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/redefine_math2_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-66b_eval
metrics: []
dataset_name: jeffdshen/redefine_math2_8shot
dataset_config: jeffdshen--redefine_math2_8shot
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: jeffdshen/redefine_math2_8shot
* Config: jeffdshen--redefine_math2_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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autoevaluate/autoeval-eval-jeffdshen__redefine_math0_8shot-jeffdshen__redefine_mat-1c694b-1853263420 | autoevaluate | 2022-10-23T23:26:46Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-23T23:26:46Z | 2022-10-23T21:51:57.000Z | 2022-10-23T21:51:57 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/redefine_math0_8shot
eval_info:
task: text_zero_shot_classification
model: inverse-scaling/opt-13b_eval
metrics: []
dataset_name: jeffdshen/redefine_math0_8shot
dataset_config: jeffdshen--redefine_math0_8shot
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: jeffdshen/redefine_math0_8shot
* Config: jeffdshen--redefine_math0_8shot
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. | [
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svjack/pokemon-blip-captions-en-zh | svjack | 2022-10-31T06:23:03Z | 18 | 9 | null | [
"task_categories:text-to-image",
"annotations_creators:machine-generated",
"language_creators:other",
"multilinguality:multilingual",
"size_categories:n<1K",
"source_datasets:huggan/few-shot-pokemon",
"language:en",
"language:zh",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-10-31T06:23:03Z | 2022-10-24T01:59:52.000Z | 2022-10-24T01:59:52 | ---
license: cc-by-nc-sa-4.0
annotations_creators:
- machine-generated
language:
- en
- zh
language_creators:
- other
multilinguality:
- multilingual
pretty_name: 'Pokémon BLIP captions'
size_categories:
- n<1K
source_datasets:
- huggan/few-shot-pokemon
tags: []
task_categories:
- text-to-image
task_ids: []
---
# Dataset Card for Pokémon BLIP captions with English and Chinese.
Dataset used to train Pokémon text to image model, add a Chinese Column of [Pokémon BLIP captions](https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions)
BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis (FastGAN). Original images were obtained from FastGAN-pytorch and captioned with the pre-trained BLIP model.
For each row the dataset contains image en_text (caption in English) and zh_text (caption in Chinese) keys. image is a varying size PIL jpeg, and text is the accompanying text caption. Only a train split is provided.
The Chinese captions are translated by [Deepl](https://www.deepl.com/translator) | [
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hcw-00/cdip-annotations-formnet-v4 | hcw-00 | 2022-10-24T07:00:23Z | 18 | 0 | null | [
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mesolitica/translated-PAWS | mesolitica | 2022-10-24T15:44:14Z | 18 | 0 | null | [
"region:us"
] | 2022-10-24T15:44:14Z | 2022-10-24T08:14:12.000Z | 2022-10-24T08:14:12 | Entry not found | [
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mesolitica/translated-MRPC | mesolitica | 2022-10-24T15:45:03Z | 18 | 0 | null | [
"region:us"
] | 2022-10-24T15:45:03Z | 2022-10-24T08:14:35.000Z | 2022-10-24T08:14:35 | Entry not found | [
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jbpark0614/speechocean762_train | jbpark0614 | 2022-10-24T08:58:04Z | 18 | 0 | null | [
"region:us"
] | 2022-10-24T08:58:04Z | 2022-10-24T08:57:13.000Z | 2022-10-24T08:57:13 | ---
dataset_info:
features:
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dtype: int64
- name: speaker_id_str
dtype: int64
- name: speaker_id
dtype: int64
- name: question_id
dtype: int64
- name: total_score
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- name: accuracy
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- name: completeness
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- name: fluency
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- name: text
dtype: string
- name: audio
dtype: audio
- name: path
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splits:
- name: train
num_bytes: 290407029.0
num_examples: 2500
download_size: 316008757
dataset_size: 290407029.0
---
# Dataset Card for "speechocean762_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Aunsiels/InfantBooks | Aunsiels | 2022-10-24T11:20:01Z | 18 | 4 | null | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
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"language:en",
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"research paper",
"kids",
"children",
... | 2022-10-24T11:20:01Z | 2022-10-24T08:57:35.000Z | 2022-10-24T08:57:35 | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- crowdsourced
license:
- gpl
multilinguality:
- monolingual
pretty_name: InfantBooks
size_categories:
- 1M<n<10M
source_datasets:
- original
tags:
- research paper
- kids
- children
- books
task_categories:
- text-generation
task_ids:
- language-modeling
---
# Dataset Card for InfantBooks
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Additional Information](#additional-information)
- [Citation Information](#citation-information)
## Dataset Description
- **Homepage:** [https://www.mpi-inf.mpg.de/children-texts-for-commonsense](https://www.mpi-inf.mpg.de/children-texts-for-commonsense)
- **Paper:** Do Children Texts Hold The Key To Commonsense Knowledge?
### Dataset Summary
A dataset of infants/children's books.
### Languages
All the books are in English;
## Dataset Structure
### Data Instances
malis-friend_BookDash-FKB.txt,"Then a taxi driver, hooting around the yard with his wire car. Mali enjoys playing by himself..."
### Data Fields
- title: The title of the book
- content: The content of the book
## Dataset Creation
### Curation Rationale
The goal of the dataset is to study infant books, which are supposed to be easier to understand than normal texts. In particular, the original goal was to study if these texts contain more commonsense knowledge.
### Source Data
#### Initial Data Collection and Normalization
We automatically collected kids' books on the web.
#### Who are the source language producers?
Native speakers.
### Citation Information
```
Romero, J., & Razniewski, S. (2022).
Do Children Texts Hold The Key To Commonsense Knowledge?
In Proceedings of the 2022 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning.
```
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jbpark0614/speechocean762_test | jbpark0614 | 2022-10-24T08:58:50Z | 18 | 0 | null | [
"region:us"
] | 2022-10-24T08:58:50Z | 2022-10-24T08:58:05.000Z | 2022-10-24T08:58:05 | ---
dataset_info:
features:
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- name: completeness
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- name: fluency
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splits:
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num_bytes: 288402967.0
num_examples: 2500
download_size: 295709940
dataset_size: 288402967.0
---
# Dataset Card for "speechocean762_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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jbpark0614/speechocean762 | jbpark0614 | 2022-10-24T09:43:54Z | 18 | 3 | null | [
"region:us"
] | 2022-10-24T09:43:54Z | 2022-10-24T09:12:33.000Z | 2022-10-24T09:12:33 | ---
dataset_info:
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dtype: int64
- name: prosodic
dtype: int64
- name: text
dtype: string
- name: audio
dtype: audio
- name: path
dtype: string
splits:
- name: test
num_bytes: 288402967.0
num_examples: 2500
- name: train
num_bytes: 290407029.0
num_examples: 2500
download_size: 0
dataset_size: 578809996.0
---
# Dataset Card for "speechocean762"
The datasets introduced in
- Zhang, Junbo, et al. "speechocean762: An open-source non-native english speech corpus for pronunciation assessment." arXiv preprint arXiv:2104.01378 (2021).
- Currently, phonetic-level evaluation is omitted (total sentence-level scores are just used.)
- The original full data link: https://github.com/jimbozhang/speechocean762
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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polinaeterna/image | polinaeterna | 2023-02-24T12:56:18Z | 18 | 0 | null | [
"region:us"
] | 2023-02-24T12:56:18Z | 2022-10-24T12:59:59.000Z | 2022-10-24T12:59:59 | ---
configs_kwargs:
- config_name: first
data_dir: first
drop_labels: true
- config_name: random
data_dir: ./
drop_labels: false
--- | [
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Alun688/person | Alun688 | 2022-10-24T14:31:19Z | 18 | 0 | null | [
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autoevaluate/autoeval-eval-conll2003-conll2003-623e8b-1865063750 | autoevaluate | 2022-10-24T15:03:21Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-24T15:03:21Z | 2022-10-24T15:01:11.000Z | 2022-10-24T15:01:11 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- conll2003
eval_info:
task: entity_extraction
model: dslim/bert-large-NER
metrics: []
dataset_name: conll2003
dataset_config: conll2003
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: dslim/bert-large-NER
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@rdecoupes](https://huggingface.co/rdecoupes) for evaluating this model. | [
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arbml/Hadith | arbml | 2022-10-24T18:11:35Z | 18 | 1 | null | [
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CLARA-MeD/CLARA-MeD | CLARA-MeD | 2022-10-25T14:54:04Z | 18 | 0 | null | [
"license:cc-by-nc-4.0",
"region:us"
] | 2022-10-25T14:54:04Z | 2022-10-25T14:26:10.000Z | 2022-10-25T14:26:10 | ---
license: cc-by-nc-4.0
---
# Dataset Card for CLARA-MeD
## 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)
- [Dataset Creation](#dataset-creation)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [https://clara-nlp.uned.es/home/med/](https://clara-nlp.uned.es/home/med/)
- **Repository:** [https://github.com/lcampillos/CLARA-MeD](https://github.com/lcampillos/CLARA-MeD)
- **Paper:** [http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6439](http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6439)
- **DOI:** [https://doi.org/10.20350/digitalCSIC/14644](https://doi.org/10.20350/digitalCSIC/14644)
- **Point of Contact:** [Leonardo Campillos-Llanos](leonardo.campillos@csic.es)
### Dataset Summary
A parallel corpus with a subset of 3800 sentence pairs of professional and laymen variants (149 862 tokens) as a benchmark for medical text simplification. This dataset was collected in the CLARA-MeD project, with the goal of simplifying medical texts in the Spanish language and reducing the language barrier to patient's informed decision making.
### Supported Tasks and Leaderboards
Medical text simplification
### Languages
Spanish
## Dataset Structure
### Data Instances
For each instance, there is a string for the source text (professional version), and a string for the target text (simplified version).
```
{'SOURCE': 'adenocarcinoma ductal de páncreas'
'TARGET': 'Cáncer de páncreas'}
```
### Data Fields
- `SOURCE`: a string containing the professional version.
- `TARGET`: a string containing the simplified version.
## Dataset Creation
### Source Data
#### Who are the source language producers?
1. Drug leaflets and summaries of product characteristics from [CIMA](https://cima.aemps.es)
2. Cancer-related information summaries from the [National Cancer Institute](https://www.cancer.gov/)
3. Clinical trials announcements from [EudraCT](https://www.clinicaltrialsregister.eu/)
### Annotations
#### Annotation process
Semi-automatic alignment of technical and patient versions of medical sentences. Inter-annotator agreement measured with Cohen's Kappa (average Kappa = 0.839 +- 0.076; very high agreement).
#### Who are the annotators?
Leonardo Campillos-Llanos
Adrián Capllonch-Carriónb
Ana Rosa Terroba-Reinares
Ana Valverde-Mateos
Sofía Zakhir-Puig
### Personal and Sensitive Information
No personal and sensitive information was used.
### Licensing Information
These data are aimed at research and educational purposes, and released under a Creative Commons Non-Commercial Attribution (CC-BY-NC-A) 4.0 International License.
### Citation Information
Campillos Llanos, L., Terroba Reinares, A. R., Zakhir Puig, S., Valverde, A., & Capllonch-Carrión, A. (2022). Building a comparable corpus and a benchmark for Spanish medical text simplification. *Procesamiento del lenguaje natural*, 69, pp. 189--196.
### Contributions
Thanks to [Jónathan Heras from Universidad de La Rioja](http://www.unirioja.es/cu/joheras) ([@joheras](https://github.com/joheras)) for formatting this dataset for Hugging Face.
| [
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autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_dev_cot-mathemak-6b9a5d-1879664171 | autoevaluate | 2022-10-25T14:31:02Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T14:31:02Z | 2022-10-25T14:29:32.000Z | 2022-10-25T14:29:32 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- mathemakitten/winobias_antistereotype_dev_cot
eval_info:
task: text_zero_shot_classification
model: ArthurZ/opt-350m
metrics: []
dataset_name: mathemakitten/winobias_antistereotype_dev_cot
dataset_config: mathemakitten--winobias_antistereotype_dev_cot
dataset_split: validation
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: ArthurZ/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_dev_cot
* Config: mathemakitten--winobias_antistereotype_dev_cot
* Split: validation
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@mathemakitten](https://huggingface.co/mathemakitten) for evaluating this model. | [
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license: other
---
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arbml/multilingual_irony | arbml | 2022-10-25T22:15:33Z | 18 | 0 | null | [
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saldera/babar-azam-db | saldera | 2022-10-25T17:15:24Z | 18 | 0 | null | [
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] | 2022-10-25T17:19:58Z | 2022-10-25T17:19:25.000Z | 2022-10-25T17:19:25 | Entry not found | [
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autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064213 | autoevaluate | 2022-10-25T17:31:46Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T17:31:46Z | 2022-10-25T17:30:28.000Z | 2022-10-25T17:30:28 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- mathemakitten/winobias_antistereotype_test_cot
eval_info:
task: text_zero_shot_classification
model: facebook/opt-350m
metrics: []
dataset_name: mathemakitten/winobias_antistereotype_test_cot
dataset_config: mathemakitten--winobias_antistereotype_test_cot
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: facebook/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_cot
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@mathemakitten](https://huggingface.co/mathemakitten) for evaluating this model. | [
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autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064214 | autoevaluate | 2022-10-25T19:35:25Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T19:35:25Z | 2022-10-25T17:30:30.000Z | 2022-10-25T17:30:30 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- mathemakitten/winobias_antistereotype_test_cot
eval_info:
task: text_zero_shot_classification
model: facebook/opt-66b
metrics: []
dataset_name: mathemakitten/winobias_antistereotype_test_cot
dataset_config: mathemakitten--winobias_antistereotype_test_cot
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: facebook/opt-66b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_cot
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@mathemakitten](https://huggingface.co/mathemakitten) for evaluating this model. | [
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autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064210 | autoevaluate | 2022-10-25T17:31:17Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T17:31:17Z | 2022-10-25T17:30:31.000Z | 2022-10-25T17:30:31 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- mathemakitten/winobias_antistereotype_test_cot
eval_info:
task: text_zero_shot_classification
model: ArthurZ/opt-125m
metrics: []
dataset_name: mathemakitten/winobias_antistereotype_test_cot
dataset_config: mathemakitten--winobias_antistereotype_test_cot
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: ArthurZ/opt-125m
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_cot
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@mathemakitten](https://huggingface.co/mathemakitten) for evaluating this model. | [
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-0.02883371524512... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064212 | autoevaluate | 2022-10-25T18:28:08Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T18:28:08Z | 2022-10-25T17:30:31.000Z | 2022-10-25T17:30:31 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- mathemakitten/winobias_antistereotype_test_cot
eval_info:
task: text_zero_shot_classification
model: facebook/opt-30b
metrics: []
dataset_name: mathemakitten/winobias_antistereotype_test_cot
dataset_config: mathemakitten--winobias_antistereotype_test_cot
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: facebook/opt-30b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_cot
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@mathemakitten](https://huggingface.co/mathemakitten) for evaluating this model. | [
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autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064215 | autoevaluate | 2022-10-25T17:44:32Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T17:44:32Z | 2022-10-25T17:30:33.000Z | 2022-10-25T17:30:33 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- mathemakitten/winobias_antistereotype_test_cot
eval_info:
task: text_zero_shot_classification
model: facebook/opt-6.7b
metrics: []
dataset_name: mathemakitten/winobias_antistereotype_test_cot
dataset_config: mathemakitten--winobias_antistereotype_test_cot
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: facebook/opt-6.7b
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_cot
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@mathemakitten](https://huggingface.co/mathemakitten) for evaluating this model. | [
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autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064209 | autoevaluate | 2022-10-25T17:32:11Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-10-25T17:32:11Z | 2022-10-25T17:30:39.000Z | 2022-10-25T17:30:39 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- mathemakitten/winobias_antistereotype_test_cot
eval_info:
task: text_zero_shot_classification
model: ArthurZ/opt-350m
metrics: []
dataset_name: mathemakitten/winobias_antistereotype_test_cot
dataset_config: mathemakitten--winobias_antistereotype_test_cot
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: ArthurZ/opt-350m
* Dataset: mathemakitten/winobias_antistereotype_test_cot
* Config: mathemakitten--winobias_antistereotype_test_cot
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@mathemakitten](https://huggingface.co/mathemakitten) for evaluating this model. | [
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mareloraby/AirQual | mareloraby | 2022-10-25T17:51:42Z | 18 | 0 | null | [
"region:us"
] | 2022-10-25T17:51:42Z | 2022-10-25T17:51:14.000Z | 2022-10-25T17:51:14 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
anton-l/sd-images | anton-l | 2022-10-25T18:46:27Z | 18 | 0 | null | [
"region:us"
] | 2022-10-25T18:46:27Z | 2022-10-25T18:40:31.000Z | 2022-10-25T18:40:31 | Entry not found | [
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0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null |
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