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hugginglearners | null | null | null | false | 1 | false | hugginglearners/twitter-dataset-tesla | 2022-08-18T04:35:32.000Z | null | false | 51a56ad8fb8f136d3c068a56a842dc65fec09ec2 | [] | [
"license:cc0-1.0",
"kaggle_id:vishesh1412/twitter-dataset-tesla"
] | https://huggingface.co/datasets/hugginglearners/twitter-dataset-tesla/resolve/main/README.md | ---
license:
- cc0-1.0
kaggle_id: vishesh1412/twitter-dataset-tesla
---
# Dataset Card for Twitter Dataset: Tesla
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks... |
asaxena1990 | null | null | null | false | 1 | false | asaxena1990/NSME-COM | 2022-08-18T07:26:54.000Z | acronym-identification | false | cb3ebb1e94d100854a2fdf305474b6530007f992 | [] | [
"annotations_creators:other",
"language_creators:other",
"language:en",
"expert-generated license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"task_categories:question-answering",
"task_categories:text-retrieval",
"task_categories:text2text-... | https://huggingface.co/datasets/asaxena1990/NSME-COM/resolve/main/README.md | ---
annotations_creators:
- other
language_creators:
- other
language:
- en
expert-generated license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- question-answering
- text-retrieval
- text2text-generation
- other
- translation
- conversationa... |
biglam | null | null | null | false | 188 | false | biglam/oldbookillustrations | 2022-08-22T14:32:05.000Z | null | true | f9f260909bef5972c4ee28a34aaad2b644c2781f | [] | [
"annotations_creators:expert-generated",
"language:en",
"language:fr",
"language:de",
"language_creators:expert-generated",
"license:cc-by-nc-4.0",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"tags:lam",
"tags:1800-1900",
"task_categories:text-to-ima... | https://huggingface.co/datasets/biglam/oldbookillustrations/resolve/main/README.md | |
lhoestq | null | null | null | false | 1 | false | lhoestq/nllb | 2022-08-18T10:24:52.000Z | null | false | a5b0063204603a74232d1990ea5029171beabc27 | [] | [
"arxiv:2205.12654",
"arxiv:2207.04672"
] | https://huggingface.co/datasets/lhoestq/nllb/resolve/main/README.md | # Dataset Card for No Language Left Behind (NLLB - 200vo)
## 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... |
sfurkan | null | null | null | false | 1 | false | sfurkan/Kanun-Yonetmelik-Tuzuk | 2022-08-18T14:02:19.000Z | null | false | aa70586d2497e4ae6477874d8de2d0d30fa7ac48 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/sfurkan/Kanun-Yonetmelik-Tuzuk/resolve/main/README.md | ---
license: apache-2.0
---
|
SLPL | null | @misc{https://doi.org/10.48550/arxiv.2208.13486,
doi = {10.48550/ARXIV.2208.13486},
url = {https://arxiv.org/abs/2208.13486},
author = {Sabouri, Sadra and Rahmati, Elnaz and Gooran, Soroush and Sameti, Hossein},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer ... | Huge corpora of textual data are always known to be a crucial need for training deep models such as transformer-based ones. This issue is emerging more in lower resource languages - like Farsi. We propose naab, the biggest cleaned and ready-to-use open-source textual corpus in Farsi. It contains about 130GB of data, 25... | false | 18 | false | SLPL/naab | 2022-11-03T06:33:48.000Z | null | false | c0ffda60b8b5a0e9ec63360548be8d53f955246f | [] | [
"arxiv:2208.13486",
"language:fa",
"license:mit",
"multilinguality:monolingual",
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"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:language-modeling",
"task_ids:masked-language-modeling"
] | https://huggingface.co/datasets/SLPL/naab/resolve/main/README.md | ---
language:
- fa
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100M<n<1B
task_categories:
- fill-mask
- text-generation
task_ids:
- language-modeling
- masked-language-modeling
pretty_name: naab (A ready-to-use plug-and-play corpus in Farsi)
---
# naab: A ready-to-use plug-and-play corpus in Farsi... |
SLPL | null | @misc{https://doi.org/10.48550/arxiv.2208.13486,
doi = {10.48550/ARXIV.2208.13486},
url = {https://arxiv.org/abs/2208.13486},
author = {Sabouri, Sadra and Rahmati, Elnaz and Gooran, Soroush and Sameti, Hossein},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer ... | Huge corpora of textual data are always known to be a crucial need for training deep models such as transformer-based ones. This issue is emerging more in lower resource languages - like Farsi. We propose naab, the biggest cleaned and ready-to-use open-source textual corpus in Farsi. It contains about 130GB of data, 25... | false | 7 | false | SLPL/naab-raw | 2022-11-03T06:34:28.000Z | null | false | 447ead3773dc665d37157e84483e5235f8aeb4ad | [] | [
"arxiv:2208.13486",
"language:fa",
"license:mit",
"multilinguality:monolingual",
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:language-modeling",
"task_ids:masked-language-modeling"
] | https://huggingface.co/datasets/SLPL/naab-raw/resolve/main/README.md | ---
language:
- fa
license:
- mit
multilinguality:
- monolingual
task_categories:
- fill-mask
- text-generation
task_ids:
- language-modeling
- masked-language-modeling
pretty_name: naab-raw (raw version of the naab corpus)
---
# naab-raw (raw version of the naab corpus)
_[If you want to join our community to keep up ... |
projecte-aina | null | WikiCAT: Text Classification Catalan dataset from the Viquipedia | false | 6 | false | projecte-aina/WikiCAT_ca | 2022-11-16T15:33:34.000Z | null | false | a7da4079b185e7e0e405045aa6f64d8588553a3d | [] | [
"annotations_creators:auromatically-generated",
"language_creators:found",
"language:ca",
"license:cc-by-sa-3.0",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/projecte-aina/WikiCAT_ca/resolve/main/README.md | ---
YAML tags:
annotations_creators:
- auromatically-generated
language_creators:
- found
language:
- ca
license:
- cc-by-sa-3.0
multilinguality:
- monolingual
pretty_name: wikicat_ca
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- multi-class-classification
---
# Wiki... | |
narad | null | \ | \ | false | 263 | false | narad/ravdess | 2022-11-02T03:21:19.000Z | null | false | 2894394c52a8621bf8bb2e4d7c3b9cf77f6fa80e | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:audio-classification",
"task_ids:audio-emotion-recognition"
] | https://huggingface.co/datasets/narad/ravdess/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- audio-classification
task_ids:
- audio-emotion-recognition
---
# Dataset Card for RAVDESS
## Table of... |
winvoker | null | @inproceedings{gupta2019lvis,
title={ LVIS: A Dataset for Large Vocabulary Instance Segmentation},
author={Gupta, Agrim and Dollar, Piotr and Girshick, Ross},
booktitle={Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition},
year={2019}
} | Progress on object detection is enabled by datasets that focus the research community's attention on open challenges. This process led us from simple images to complex scenes and from bounding boxes to segmentation masks. In this work, we introduce LVIS (pronounced `el-vis'): a new dataset for Large Vocabulary Instance... | false | 1 | false | winvoker/lvis | 2022-08-22T15:57:57.000Z | null | false | b4553ee0b6e28797af2d78fc9ea24edd71a9270c | [] | [
"license:cc-by-4.0",
"size_categories:1M<n<10M",
"tags:segmentation",
"tags:coco",
"task_categories:image-segmentation",
"task_ids:instance-segmentation"
] | https://huggingface.co/datasets/winvoker/lvis/resolve/main/README.md | ---
viewer: false
annotations_creators: []
language: []
language_creators: []
license:
- cc-by-4.0
pretty_name: lvis
size_categories:
- 1M<n<10M
source_datasets: []
tags:
- segmentation
- coco
task_categories:
- image-segmentation
task_ids:
- instance-segmentation
---
# LVIS
### Dataset Summary
This dataset is the im... |
alvations | null | null | null | false | 1 | false | alvations/stash | 2022-10-27T17:42:38.000Z | null | false | 789485c0380adfd5827130240fcb0f254ae08d0b | [] | [
"license:cc0-1.0"
] | https://huggingface.co/datasets/alvations/stash/resolve/main/README.md | ---
license: cc0-1.0
---
|
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-jnlpba-3af3e90f-1276248800 | 2022-08-18T18:35:34.000Z | null | false | 11ec4d8b90a795c91a8589d209e4738ded3529be | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:jnlpba"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-jnlpba-3af3e90f-1276248800/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jnlpba
eval_info:
task: entity_extraction
model: siddharthtumre/biobert-finetuned-jnlpba
metrics: []
dataset_name: jnlpba
dataset_config: jnlpba
dataset_split: validation
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset Card ... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-jnlpba-37dc127e-1276948841 | 2022-08-18T20:29:10.000Z | null | false | 77cf2b93667ded5b4fb8024ac0796cc062fe59a9 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:jnlpba"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-jnlpba-37dc127e-1276948841/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jnlpba
eval_info:
task: entity_extraction
model: siddharthtumre/biobert-finetuned-jnlpba-ner
metrics: []
dataset_name: jnlpba
dataset_config: jnlpba
dataset_split: validation
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset C... |
bccnf | null | null | null | false | 1 | false | bccnf/MeLiDC-shuffled-completo | 2022-08-18T21:46:33.000Z | null | false | 95f31ff9689ea4e38926ac1f41c7b6a27ec87695 | [] | [] | https://huggingface.co/datasets/bccnf/MeLiDC-shuffled-completo/resolve/main/README.md | MeLiDC COM shuffle e SEM retirar categorias menos comuns. |
allenai | null | null | null | false | 2 | false | allenai/multixscience_sparse_oracle | 2022-11-03T21:37:40.000Z | multi-xscience | false | fa7f08668bc5ae9f0f0b1241ce1114fb35dca3d1 | [] | [
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:summarization",
"task_ids:summarization-other-paper-abstract-generation"
] | https://huggingface.co/datasets/allenai/multixscience_sparse_oracle/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
task_ids:
- summarization-other-paper-abstract-generation
paperswithcode_id: multi-xscience
pretty_name... |
ASCCCCCCCC | null | null | null | false | 1 | false | ASCCCCCCCC/bill | 2022-08-24T06:40:24.000Z | null | false | b432438c663e1c7dc4639fe6dda452021b6f2797 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/ASCCCCCCCC/bill/resolve/main/README.md | ---
license: apache-2.0
---
|
0x7194633 | null | ..... | ..... | false | 22 | false | 0x7194633/ru-mc4-clean | 2022-08-22T08:41:42.000Z | null | false | e737dce8a76541a828c694906ac99be1abf72e72 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:ru",
"license:apache-2.0",
"multilinguality:monolingual",
"task_categories:text-generation"
] | https://huggingface.co/datasets/0x7194633/ru-mc4-clean/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- ru
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: Ru Pile
task_categories:
- text-generation
---
| Subset | Size |
| ------ | ---- |
| micro | 900MB |
| tiny | 2,63GB |
| small | 8,78GB |
| medium | 26,36GB |
| large | 5... |
AllenGeng | null | null | null | false | 1 | false | AllenGeng/NATEdataset | 2022-08-19T03:56:30.000Z | null | false | 36dc528c5957e4f584c593a618fcbf3ad1a1a7b7 | [] | [] | https://huggingface.co/datasets/AllenGeng/NATEdataset/resolve/main/README.md | |
shreyas-singh | null | null | null | false | 1 | false | shreyas-singh/autotrain-data-MedicalTokenClassification | 2022-08-19T06:52:29.000Z | null | false | 0bcde014603bb09066ea8f441edda07bbd08a4d0 | [] | [] | https://huggingface.co/datasets/shreyas-singh/autotrain-data-MedicalTokenClassification/resolve/main/README.md | ---
{}
---
# AutoTrain Dataset for project: MedicalTokenClassification
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project MedicalTokenClassification.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from ... |
PlanTL-GOB-ES | null | null | null | false | 4 | false | PlanTL-GOB-ES/WikiCAT_es | 2022-11-15T17:43:18.000Z | null | false | a06b32334da2ab8cfdd1b955996729e224869b82 | [] | [
"annotations_creators:automatically-generated",
"language_creators:found",
"language:es",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/PlanTL-GOB-ES/WikiCAT_es/resolve/main/README.md | ---
YAML tags:
annotations_creators:
- automatically-generated
language_creators:
- found
language:
- es
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: wikicat_es
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- multi-class-classification
---
# Wiki... |
PlanTL-GOB-ES | null | null | null | false | 1 | false | PlanTL-GOB-ES/WikiCAT_en | 2022-11-15T17:44:17.000Z | null | false | e808df6558b7da64528253e41f1cfe3c55eaf571 | [] | [
"annotations_creators:automatically-generated",
"language_creators:found",
"language:en",
"license:cc-by-sa-3.0",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/PlanTL-GOB-ES/WikiCAT_en/resolve/main/README.md | ---
YAML tags:
annotations_creators:
- automatically-generated
language_creators:
- found
language:
- en
license:
- cc-by-sa-3.0
multilinguality:
- monolingual
pretty_name: wikicat_en
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- multi-class-classification
---
# Wiki... |
IDEA-CCNL | null | \ | \ | false | 17 | false | IDEA-CCNL/PretrainCorpusDemo | 2022-09-28T18:11:38.000Z | null | false | 568988dc0cfa7506819b0f54cd2b6d27ce73b557 | [] | [
"arxiv:2209.02970",
"license:apache-2.0"
] | https://huggingface.co/datasets/IDEA-CCNL/PretrainCorpusDemo/resolve/main/README.md | ---
license: apache-2.0
---
Only use for Demo
# PretrainCorpusDemo
## 引用 Citation
如果您在您的工作中使用了我们的模型，可以引用我们的[论文](https://arxiv.org/abs/2209.02970)：
If you are using the resource for your work, please cite the our [paper](https://arxiv.org/abs/2209.02970):
```text
@article{fengshenbang,
author = {Junjie Wang a... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-emotion-a34266d3-1280948985 | 2022-08-19T11:42:12.000Z | null | false | 8923e1a7979d14ef39b339b0191260fd5fd725d2 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:emotion"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-emotion-a34266d3-1280948985/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: Ahmed007/distilbert-base-uncased-finetuned-emotion
metrics: []
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
---
# D... |
NX2411 | null | null | null | false | 10 | false | NX2411/mydataset-only-test | 2022-08-19T12:03:00.000Z | null | false | ced6ce1642942f9b258becd0914554cc8e6808bf | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/NX2411/mydataset-only-test/resolve/main/README.md | ---
license: apache-2.0
---
|
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-07c07057-797e-4d34-8fcb-023957860774-7467 | 2022-08-19T12:04:17.000Z | null | false | 90261ba9395fb29be9287b5b961a6908f01a0cc6 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:glue"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-07c07057-797e-4d34-8fcb-023957860774-7467/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- glue
eval_info:
task: natural_language_inference
model: autoevaluate/natural-language-inference
metrics: []
dataset_name: glue
dataset_config: mrpc
dataset_split: validation
col_mapping:
text1: sentence1
text2: sentence2
target: ... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-6e415fa8-612b-4f91-8605-a10cd0c88147-7568 | 2022-08-19T12:08:09.000Z | null | false | 4a1c01327dac9ee8a68f09a4b4d6611a853aa180 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:glue"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-6e415fa8-612b-4f91-8605-a10cd0c88147-7568/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- glue
eval_info:
task: natural_language_inference
model: autoevaluate/natural-language-inference
metrics: []
dataset_name: glue
dataset_config: mrpc
dataset_split: validation
col_mapping:
text1: sentence1
text2: sentence2
target: ... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-dd7fa31c-e9a7-4d4e-81bc-102bff5d38c4-3721 | 2022-08-19T12:57:42.000Z | null | false | 20e767bc523d5a5e7044e14ee332f8f1b5e5e2a1 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:glue"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-dd7fa31c-e9a7-4d4e-81bc-102bff5d38c4-3721/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- glue
eval_info:
task: natural_language_inference
model: autoevaluate/natural-language-inference
metrics: []
dataset_name: glue
dataset_config: mrpc
dataset_split: validation
col_mapping:
text1: sentence1
text2: sentence2
target: ... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-6258c8ab-61ff-4bb1-984c-d291ce97e844-3923 | 2022-08-19T13:29:48.000Z | null | false | ad59c039a59e7e4c757dc44fa9e9aaaea8d7a4e7 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:glue"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-6258c8ab-61ff-4bb1-984c-d291ce97e844-3923/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- glue
eval_info:
task: natural_language_inference
model: autoevaluate/natural-language-inference
metrics: []
dataset_name: glue
dataset_config: mrpc
dataset_split: validation
col_mapping:
text1: sentence1
text2: sentence2
target: ... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-samsum-ede55545-13415852 | 2022-08-19T13:57:07.000Z | null | false | ca3c9475c9b6443bf5aa58b433dfd9fa1dc334fd | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:samsum"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-samsum-ede55545-13415852/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- samsum
eval_info:
task: summarization
model: google/bigbird-pegasus-large-arxiv
metrics: []
dataset_name: samsum
dataset_config: samsum
dataset_split: test
col_mapping:
text: dialogue
target: summary
---
# Dataset Card for AutoTrain ... |
tartuNLP | null | null | null | false | 1 | false | tartuNLP/finno-ugric-benchmark | 2022-08-19T14:59:01.000Z | null | false | a57ff00e419ae9df924eec3006b3afd573fe3d80 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/tartuNLP/finno-ugric-benchmark/resolve/main/README.md | ---
license: cc-by-4.0
---
|
jakartaresearch | null | null | This dataset is built as a playground for beginner to make a translation model for Indonesian and English. | false | 1 | false | jakartaresearch/inglish | 2022-08-19T15:23:15.000Z | null | false | 460772fb9f8ebdea9a826a863f8d08f398ecca89 | [] | [
"annotations_creators:machine-generated",
"language:id",
"language:en",
"language_creators:machine-generated",
"license:cc-by-4.0",
"multilinguality:translation",
"size_categories:10K<n<100K",
"source_datasets:original",
"tags:indonesian",
"tags:english",
"tags:translation",
"task_categories:t... | https://huggingface.co/datasets/jakartaresearch/inglish/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language:
- id
- en
language_creators:
- machine-generated
license:
- cc-by-4.0
multilinguality:
- translation
pretty_name: 'Inglish: Indonesian English Machine Translation Dataset'
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- indonesian
- english
- tra... |
BigBang | null | null | null | false | 1 | false | BigBang/galaxyzoo-decals | 2022-08-29T18:03:24.000Z | null | false | 66772c4cf2360e5fdd3a974883fe12d3a64a0038 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/BigBang/galaxyzoo-decals/resolve/main/README.md | ---
license: cc-by-4.0
---
# Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
- https://github.com/mwalmsley/zoobot
- https://zenodo.org/record/4573248
# Dataset Schema
This schema describes the columns in the GZ DECaLS catalogues; `gz_decals_auto_poster... |
npc-engine | null | null | null | false | 1 | false | npc-engine/light-batch-summarize-dialogue | 2022-08-20T18:18:10.000Z | null | false | 4c2d2919d8e2292de2350c931758c7c24a0c51d7 | [] | [
"license:mit",
"language:en"
] | https://huggingface.co/datasets/npc-engine/light-batch-summarize-dialogue/resolve/main/README.md | ---
license: mit
language: en
---
# [Light dataset](https://parl.ai/projects/light/) prepared for zero-shot summarization.
Dialogues are preprocessed into a form:
```
<Character name>: <character line>
...
<Character name>: <character line>
Summarize the document
```
|
tartuNLP | null | null | null | false | 1 | false | tartuNLP/EstCOPA | 2022-10-31T10:17:40.000Z | null | false | e293f374f7091dadb2c96a9f44f830dc9c7bbe31 | [] | [
"annotations_creators:expert-generated",
"language:et",
"language_creators:expert-generated",
"language_creators:machine-generated",
"license:cc-by-4.0",
"multilinguality:monolingual",
"multilinguality:translation",
"size_categories:n<1K",
"source_datasets:extended|xcopa",
"task_categories:questio... | https://huggingface.co/datasets/tartuNLP/EstCOPA/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language:
- et
language_creators:
- expert-generated
- machine-generated
license:
- cc-by-4.0
multilinguality:
- monolingual
- translation
pretty_name: EstCOPA
size_categories:
- n<1K
source_datasets:
- extended|xcopa
tags: []
task_categories:
- question-answering
task_ids: ... |
nanelimon | null | null | null | false | 1 | false | nanelimon/turkish-social-media-bullying-dataset | 2022-08-20T09:57:56.000Z | null | false | f083f58ded9e934c906dac78fd03f13421221544 | [] | [
"license:mit"
] | https://huggingface.co/datasets/nanelimon/turkish-social-media-bullying-dataset/resolve/main/README.md | ---
license: mit
---
# Overwiev
It is a 4-class Turkish bullying data set obtained from Twitter.
| Cinsiyetçilik | Irkçılık | Kızdırma | Nötr | Sum |
| ------ | ------ | ------ | ------ | ------ |
| 601 | 490 | 910 | 1387 | 3388 |
## Authors
- Seyma SARIGIL: seymasargil@gmail.com
- Elif SARIGIL KARA: elifsar... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-squad-4b228794-1283349088 | 2022-08-19T21:31:08.000Z | null | false | ae0b477362fd961c4d67b740e1ad9b218900d640 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:squad"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-squad-4b228794-1283349088/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad
eval_info:
task: extractive_question_answering
model: nbroad/xdistil-l12-h384-squad2
metrics: []
dataset_name: squad
dataset_config: plain_text
dataset_split: validation
col_mapping:
context: context
question: question
answ... |
autoevaluate | null | null | null | false | 6 | false | autoevaluate/autoeval-eval-project-squad-4b228794-1283349089 | 2022-08-19T21:31:53.000Z | null | false | db528c7c35bef1c06371d03a5cac7926d3bf9d5d | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:squad"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-squad-4b228794-1283349089/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad
eval_info:
task: extractive_question_answering
model: nbroad/deberta-v3-xsmall-squad2
metrics: []
dataset_name: squad
dataset_config: plain_text
dataset_split: validation
col_mapping:
context: context
question: question
ans... |
djaym7 | null | @inproceedings{dai2022dialoginpainting,
title={Dialog Inpainting: Turning Documents to Dialogs},
author={Dai, Zhuyun and Chaganty, Arun Tejasvi and Zhao, Vincent and Amini, Aida and Green, Mike and Rashid, Qazi and Guu, Kelvin},
booktitle={International Conference on Machine Learning (ICML)},
year={2022},
org... | WikiDialog is a large dataset of synthetically generated information-seeking
conversations. Each conversation in the dataset contains two speakers grounded
in a passage from English Wikipedia: one speaker’s utterances consist of exact
sentences from the passage; the other speaker is generated by a large language
model. | false | 10 | false | djaym7/wiki_dialog | 2022-08-20T02:36:29.000Z | null | false | d9edf5a5e28bbde9ba3989e44e5566809aa40157 | [] | [] | https://huggingface.co/datasets/djaym7/wiki_dialog/resolve/main/README.md | # I've just ported the dataset from tfds to huggingface. All credits goes to original authors, readme is copied from https://github.com/google-research/dialog-inpainting/blob/main/README.md
Load in huggingface using :
dataset = datasets.load_dataset('djaym7/wiki_dialog','OQ', beam_runner='DirectRunner')
# D... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-yhavinga__cnn_dailymail_dutch-88133136-1284849222 | 2022-08-20T11:39:44.000Z | null | false | 2f80dbe421217fa8213f66f1b3f01613664423f9 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:yhavinga/cnn_dailymail_dutch"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-yhavinga__cnn_dailymail_dutch-88133136-1284849222/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- yhavinga/cnn_dailymail_dutch
eval_info:
task: summarization
model: yhavinga/long-t5-tglobal-small-dutch-cnn-bf16-test
metrics: []
dataset_name: yhavinga/cnn_dailymail_dutch
dataset_config: 3.0.0
dataset_split: test
col_mapping:
text: art... |
VanHoan | null | null | null | false | 1 | false | VanHoan/github-issues | 2022-08-20T12:30:24.000Z | null | false | 5f2b4d3f3847eff692773ccd0e9b92e97abfb269 | [] | [
"annotations_creators:no-annotation",
"language:en",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"tags:Github",
"task_categories:table-question-answering",
"task_categories:fill-mask",
"task_ids:masked-language-mod... | https://huggingface.co/datasets/VanHoan/github-issues/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- machine-generated
license: []
multilinguality:
- monolingual
pretty_name: "From Ray with \u2764\uFE0F"
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- Github
task_categories:
- table-question-answering
- fill-mask
task_ids:
... |
fidsinn | null | null | null | false | 1 | false | fidsinn/future-statements | 2022-08-29T19:19:49.000Z | null | false | ded5969e45d8056a80eac52c4b04d233d316bc92 | [] | [
"tags:future",
"language:en",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"task_categories:text-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/fidsinn/future-statements/resolve/main/README.md | ---
tags:
- future
language:
- en
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
task_categories:
- text-classification
task_ids:
- multi-class-classification
pretty_name: Future Statements
---
# Dataset Card for Future Statements Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
-... |
autoevaluate | null | null | null | false | 6 | false | autoevaluate/autoeval-eval-project-ml6team__cnn_dailymail_nl-7b67cb71-1286049228 | 2022-08-20T17:52:18.000Z | null | false | 3a97b8cc111c046a8563072d2f5a794efc889902 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:ml6team/cnn_dailymail_nl"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-ml6team__cnn_dailymail_nl-7b67cb71-1286049228/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- ml6team/cnn_dailymail_nl
eval_info:
task: summarization
model: yhavinga/t5-v1.1-large-dutch-cnn-test
metrics: []
dataset_name: ml6team/cnn_dailymail_nl
dataset_config: default
dataset_split: test
col_mapping:
text: article
target: hi... |
abid | null | null | null | false | 2 | false | abid/indonesia-bioner-dataset | 2022-09-02T06:16:26.000Z | null | false | 6b38e31fde7c954f7e69566999fcd6ef2746b524 | [] | [
"license:bsd-3-clause-clear"
] | https://huggingface.co/datasets/abid/indonesia-bioner-dataset/resolve/main/README.md | ---
license: bsd-3-clause-clear
---
### Indonesia BioNER Dataset
This dataset taken from online health consultation platform Alodokter.com which has been annotated by two medical doctors. Data were annotated using IOB in CoNLL format.
Dataset contains 2600 medical answers by doctors from 2017-2020. Two medical exper... |
gzinzi | null | null | null | false | 2 | false | gzinzi/miles | 2022-08-20T22:12:34.000Z | null | false | 8deaeb5b10cbf1a2bf15d4d4947b5e8cebbd1785 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/gzinzi/miles/resolve/main/README.md | ---
license: afl-3.0
---
|
OlegKit | null | null | null | false | 1 | false | OlegKit/RND | 2022-08-21T03:29:17.000Z | null | false | b259a3561b751e4a87261dba40119d03fdc20817 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/OlegKit/RND/resolve/main/README.md | ---
license: afl-3.0
---
|
ariesutiono | null | null | null | false | 1 | false | ariesutiono/entailment-bank-v3 | 2022-08-21T06:05:29.000Z | null | false | 2d1b8010d08c2e6ce17c4879447b9a3ce7531d5e | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/ariesutiono/entailment-bank-v3/resolve/main/README.md |
---
license: cc-by-4.0
---
# Entailment bank dataset
This dataset raw source can be found at [allenai's Github](https://github.com/allenai/entailment_bank/).
If you use this dataset, it is best to cite the original paper
```
@article{entalmentbank2021,
title={Explaining Answers with Entailment Trees},
autho... |
kumapo | null | @InProceedings{Yoshikawa2017,
title = {STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset},
booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
month = {July},
year = {2017},
address = {Vancouver,... | COCO is a large-scale object detection, segmentation, and captioning dataset. | false | 3 | false | kumapo/stair_captions_dataset_script | 2022-08-21T06:20:03.000Z | null | false | 707299a96c4770da2d5321042d677071c4919690 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/kumapo/stair_captions_dataset_script/resolve/main/README.md | ---
license: cc-by-4.0
---
|
jayantsingh72 | null | null | null | false | 1 | false | jayantsingh72/github-issues-datasets | 2022-08-21T07:27:38.000Z | null | false | 8891e8b96c8a02c6fa7624edebf19edf1d3a65f9 | [] | [] | https://huggingface.co/datasets/jayantsingh72/github-issues-datasets/resolve/main/README.md | |
tyqiangz | null | null | null | false | 687 | false | tyqiangz/multilingual-sentiments | 2022-08-25T09:55:35.000Z | null | false | 11a34e59b2b0c6f2523d660c83c9d222c402d5df | [] | [
"license:apache-2.0",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:ja",
"language:zh",
"language:id",
"language:ar",
"language:hi",
"language:it",
"language:ms",
"language:pt",
"multilinguality:monolingual",
"multilinguality:multilingual",
"size_categories:100K... | https://huggingface.co/datasets/tyqiangz/multilingual-sentiments/resolve/main/README.md | ---
license: apache-2.0
language:
- de
- en
- es
- fr
- ja
- zh
- id
- ar
- hi
- it
- ms
- pt
multilinguality:
- monolingual
- multilingual
size_categories:
- 100K<n<1M
- 1M<n<10M
task_ids:
- text-classification
- sentiment-classification
- sentiment-analysis
task_categories:
- t... |
ziwenyd | null | null | null | false | 1 | false | ziwenyd/avatar-functions | 2022-09-02T11:04:40.000Z | null | false | 753749c56fe313d51e37896ed12c4894e84dcf19 | [] | [
"license:mit"
] | https://huggingface.co/datasets/ziwenyd/avatar-functions/resolve/main/README.md | ---
license: mit
---
There is no difference between 'train' and 'test', these are just used thus the csv file can be detected by huggingface.
max_java_exp_len=1784
max_python_exp_len=1469 |
ayberk | null | null | null | false | 1 | false | ayberk/ayberksdatasett | 2022-08-22T14:20:55.000Z | null | false | b0684bafbe194d26fcd792a657af71636b227b76 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/ayberk/ayberksdatasett/resolve/main/README.md | ---
license: afl-3.0
---
|
fourteenBDr | null | null | null | false | 1 | false | fourteenBDr/toutiao | 2022-08-21T14:58:22.000Z | null | false | 5c0d3e28f40f5b5d1bb9449683385e6dce5c59c5 | [] | [
"license:mit"
] | https://huggingface.co/datasets/fourteenBDr/toutiao/resolve/main/README.md | ---
license: mit
---
# 中文文本分类数据集
数据来源：
今日头条客户端
数据格式：
```
6552431613437805063_!_102_!_news_entertainment_!_谢娜为李浩菲澄清网络谣言，之后她的两个行为给自己加分_!_佟丽娅,网络谣言,快乐大本营,李浩菲,谢娜,观众们
```
每行为一条数据，以`_!_`分割的个字段，从前往后分别是 新闻ID，分类code（见下文），分类名称（见下文），新闻字符串（仅含标题），新闻关键词
分类code与名称：
```
100 民生 故事 news_story
101 文化 文化 news_culture
102 娱乐 娱乐 n... |
pootow | null | null | null | false | 1 | false | pootow/suo-xie-zhai-yao | 2022-08-21T15:22:45.000Z | null | false | a3d1589adadeceb9d89bb2eb0d552859167fa0e4 | [] | [
"license:gpl"
] | https://huggingface.co/datasets/pootow/suo-xie-zhai-yao/resolve/main/README.md | ---
license: gpl
---
|
yhavinga | null | @article{Narayan2018DontGM,
title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization},
author={Shashi Narayan and Shay B. Cohen and Mirella Lapata},
journal={ArXiv},
year={2018},
volume={abs/1808.08745}
} | Extreme Summarization (XSum) Dataset.
There are three features:
- document: Input news article.
- summary: One sentence summary of the article.
- id: BBC ID of the article. | false | 11 | false | yhavinga/xsum_dutch | 2022-08-21T20:50:08.000Z | xsum_dutch | false | 89ffbee82a31a0a741d56de24a55918ce0d6d2ea | [] | [
"language:nl",
"task_categories:summarization",
"task_ids:news-articles-summarization"
] | https://huggingface.co/datasets/yhavinga/xsum_dutch/resolve/main/README.md | ---
pretty_name: Extreme Summarization (XSum) in Dutch
language:
- nl
paperswithcode_id: xsum_dutch
task_categories:
- summarization
task_ids:
- news-articles-summarization
train-eval-index:
- config: default
task: summarization
task_id: summarization
splits:
train_split: train
eval_split: test
col_mapp... |
clips | null | null | 20Q | false | 1 | false | clips/20Q | 2022-08-21T20:54:06.000Z | null | false | 00d84f741dda99d94db780c90ebb5f980050381d | [] | [
"language:en",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"tags:20Q",
"tags:Twenty Questions",
"tags:20 Questions",
"task_categories:question-answering"
] | https://huggingface.co/datasets/clips/20Q/resolve/main/README.md | ---
annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: 20Q - World Knowledge Benchmark
size_categories:
- 1K<n<10K
source_datasets: []
tags:
- 20Q
- Twenty Questions
- 20 Questions
task_categories:
- question-answering
task_ids: []
---
# Dataset Card f... |
neuralspace | null | null | null | false | 1 | false | neuralspace/NSME-COM | 2022-09-13T16:16:28.000Z | acronym-identification | false | 9c3d1ef39f048685295f552ba2b0e3bdff3c14bf | [] | [
"annotations_creators:other",
"language_creators:other",
"language:en",
"expert-generated license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"task_categories:question-answering",
"task_categories:text-retrieval",
"task_categories:text2text-... | https://huggingface.co/datasets/neuralspace/NSME-COM/resolve/main/README.md | ---
annotations_creators:
- other
language_creators:
- other
language:
- en
expert-generated license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- question-answering
- text-retrieval
- text2text-generation
- other
- translation
- conversationa... |
merkalo-ziri | null | null | null | false | 1 | false | merkalo-ziri/qa_main | 2022-08-24T08:54:01.000Z | null | false | dd1c4533dbd97987d313319b71fbf747478db511 | [] | [
"annotations_creators:found",
"language:rus",
"language_creators:found",
"license:other",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:question-answering"
] | https://huggingface.co/datasets/merkalo-ziri/qa_main/resolve/main/README.md | ---
annotations_creators:
- found
language:
- rus
language_creators:
- found
license:
- other
multilinguality:
- monolingual
pretty_name: qa_main
size_categories:
- 10K<n<100K
source_datasets:
- original
tags: []
task_categories:
- question-answering
task_ids: []
---
# Dataset Card for [Dataset Name]
## Table of Cont... |
ssharma2020 | null | null | null | false | 5 | false | ssharma2020/Plant-Seedlings-Dataset | 2022-08-22T07:32:11.000Z | null | false | a39a46ee729d724ac67b4a66baab0e6e85a92484 | [] | [
"license:cc-by-sa-4.0"
] | https://huggingface.co/datasets/ssharma2020/Plant-Seedlings-Dataset/resolve/main/README.md | ---
license: cc-by-sa-4.0
---
|
masakhane | null | @inproceedings{adelani-etal-2022-thousand,
title = "A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for {A}frican News Translation",
author = "Adelani, David and
Alabi, Jesujoba and
Fan, Angela and
Kreutzer, Julia and
Shen, Xiaoyu and
Reid, Machel and... | MAFAND-MT is the largest MT benchmark for African languages in the news domain, covering 21 languages. The languages covered are:
- Amharic
- Bambara
- Ghomala
- Ewe
- Fon
- Hausa
- Igbo
- Kinyarwanda
- Luganda
- Luo
- Mossi
- Nigerian-Pidgin
- Chichewa
- Shona
- Swahili
- Setswana
- Twi
- Wolof
- Xhosa
- Yoruba
- Zulu... | false | 4 | false | masakhane/mafand | 2022-08-23T11:51:31.000Z | null | false | 7028115028b104388af7ec2eb7b7888fc736a106 | [] | [
"annotations_creators:expert-generated",
"language:en",
"language:fr",
"language:am",
"language:bm",
"language:bbj",
"language:ee",
"language:fon",
"language:ha",
"language:ig",
"language:lg",
"language:mos",
"language:ny",
"language:pcm",
"language:rw",
"language:sn",
"language:sw",... | https://huggingface.co/datasets/masakhane/mafand/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language:
- en
- fr
- am
- bm
- bbj
- ee
- fon
- ha
- ig
- lg
- mos
- ny
- pcm
- rw
- sn
- sw
- tn
- tw
- wo
- xh
- yo
- zu
language_creators:
- expert-generated
license:
- cc-by-nc-4.0
multilinguality:
- translation
- multilingual
pretty_name: mafand
size_categories:
- 1K<n... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-jnlpba-c103d433-1295449602 | 2022-08-22T10:58:29.000Z | null | false | 0e94741b4d3fedcef54dbc40fd4a5d0e2cc2ca4a | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:jnlpba"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-jnlpba-c103d433-1295449602/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jnlpba
eval_info:
task: entity_extraction
model: siddharthtumre/biobert-ner
metrics: []
dataset_name: jnlpba
dataset_config: jnlpba
dataset_split: validation
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset Card for AutoTrain... |
victor | null | null | null | false | 1 | false | victor/autotrain-data-image-classification-test-18 | 2022-08-22T12:11:50.000Z | null | false | ffd6fca23eefc71c119a52e3f7228a5576a9140a | [] | [
"task_categories:image-classification"
] | https://huggingface.co/datasets/victor/autotrain-data-image-classification-test-18/resolve/main/README.md | ---
task_categories:
- image-classification
---
# AutoTrain Dataset for project: image-classification-test-18
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project image-classification-test-18.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Stru... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-09cba8dc-757f-4f7a-8194-174e4439eb99-91 | 2022-08-22T12:28:26.000Z | null | false | 52ac109bd3961cbdca195d1a63d5623df925ae19 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:glue"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-09cba8dc-757f-4f7a-8194-174e4439eb99-91/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- glue
eval_info:
task: binary_classification
model: autoevaluate/binary-classification
metrics: ['matthews_correlation']
dataset_name: glue
dataset_config: sst2
dataset_split: validation
col_mapping:
text: sentence
target: label
---
#... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-80c2643d-2334-4a14-9912-449e234f13a2-102 | 2022-08-22T12:34:51.000Z | null | false | 583895c958b37d26d265c28fe134c4bfd5320361 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:emotion"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-80c2643d-2334-4a14-9912-449e234f13a2-102/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: autoevaluate/multi-class-classification
metrics: ['matthews_correlation']
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: la... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-66155224-f2a7-4c5e-94b3-a3683a04175e-2314 | 2022-08-22T13:04:47.000Z | null | false | 641d2fd9bacfcce2fdfa8c9c586e74fe843d7bef | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:autoevaluate/squad-sample"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-66155224-f2a7-4c5e-94b3-a3683a04175e-2314/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- autoevaluate/squad-sample
eval_info:
task: extractive_question_answering
model: autoevaluate/distilbert-base-cased-distilled-squad
metrics: []
dataset_name: autoevaluate/squad-sample
dataset_config: autoevaluate--squad-sample
dataset_split: te... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-2dc683ab-6695-42ab-9eff-11dad91952e1-2415 | 2022-08-22T13:07:28.000Z | null | false | d86659a36094de76171db53a8dda513ffa5a838d | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:autoevaluate/xsum-sample"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-2dc683ab-6695-42ab-9eff-11dad91952e1-2415/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- autoevaluate/xsum-sample
eval_info:
task: summarization
model: autoevaluate/summarization
metrics: []
dataset_name: autoevaluate/xsum-sample
dataset_config: autoevaluate--xsum-sample
dataset_split: test
col_mapping:
text: document
ta... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-8a305641-aedc-4d3a-9609-7f9f9c99c489-2616 | 2022-08-22T13:25:10.000Z | null | false | d2fa13f1968351b546a9a5a89610817d868e1120 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:autoevaluate/wmt16-ro-en-sample"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-8a305641-aedc-4d3a-9609-7f9f9c99c489-2616/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- autoevaluate/wmt16-ro-en-sample
eval_info:
task: translation
model: autoevaluate/translation
metrics: []
dataset_name: autoevaluate/wmt16-ro-en-sample
dataset_config: autoevaluate--wmt16-ro-en-sample
dataset_split: test
col_mapping:
sour... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-staging-eval-project-0c5b3473-b8bd-4084-ad01-6ee894dddf29-2917 | 2022-08-22T13:35:37.000Z | null | false | a51d02dac28333f43f90d7d07753ed6c3c47ede0 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:glue"
] | https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-0c5b3473-b8bd-4084-ad01-6ee894dddf29-2917/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- glue
eval_info:
task: binary_classification
model: autoevaluate/binary-classification
metrics: ['matthews_correlation']
dataset_name: glue
dataset_config: sst2
dataset_split: validation
col_mapping:
text: sentence
target: label
---
#... |
pinecone | null | @InProceedings{huggingface:dataset,
title = {MovieLens Ratings},
author={Ismail Ashraq, James Briggs},
year={2022}
} | This dataset streams recent user ratings from the MovieLens 25M dataset and adds poster URLs. | false | 20 | false | pinecone/movielens-recent-ratings | 2022-08-23T10:00:17.000Z | null | false | 9000ce7fabbce934fc7637c7cd4736bf87a616b2 | [] | [
"annotations_creators:machine-generated",
"language:en",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"tags:movielens",
"tags:recommendation",
"tags:collaborative filtering"
] | https://huggingface.co/datasets/pinecone/movielens-recent-ratings/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language:
- en
language_creators:
- machine-generated
license: []
multilinguality:
- monolingual
pretty_name: MovieLens User Ratings
size_categories:
- 100K<n<1M
source_datasets: []
tags:
- movielens
- recommendation
- collaborative filtering
task_categories: []
task_ids: [... |
gradio | null | null | null | false | 1 | false | gradio/transformers-stats-space-data | 2022-08-22T20:20:24.000Z | null | false | 99c0a674b67ae0789547e6475a2f62bad451b09c | [] | [
"license:mit"
] | https://huggingface.co/datasets/gradio/transformers-stats-space-data/resolve/main/README.md | ---
license: mit
---
|
Yomyom52 | null | null | null | false | 1 | false | Yomyom52/sb1 | 2022-08-23T11:01:22.000Z | null | false | 9742ee01a91a4f9aa3a779cde65ee80e55b95423 | [] | [] | https://huggingface.co/datasets/Yomyom52/sb1/resolve/main/README.md | |
mehdidn | null | null | null | false | 1 | false | mehdidn/ner | 2022-08-24T00:22:38.000Z | null | false | 69a856480564b5ef3e19e201f1ead5882ee3a3b0 | [] | [
"license:other"
] | https://huggingface.co/datasets/mehdidn/ner/resolve/main/README.md | ---
license: other
---
|
UKPLab | null | @article{stangier2022texprax,
title={TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation},
author={Stangier, Lorenz and Lee, Ji-Ung and Wang, Yuxi and M{\"u}ller, Marvin and Frick, Nicholas and Metternich, Joachim and Gurevych, Iryna},
journal={arXiv preprint arXiv:2208.07846},
... | This dataset was collected in the [TexPrax](https://texprax.de/) project and contains named entities annotated by three researchers as well as annotated sentences (problem/P, cause/C, solution/S, and other/O). | false | 5 | false | UKPLab/TexPrax | 2022-10-18T19:06:10.000Z | null | false | 73fd20b203b1f7d73c082f716b5af1576be75ce4 | [] | [
"arxiv:2208.07846",
"license:cc-by-nc-4.0"
] | https://huggingface.co/datasets/UKPLab/TexPrax/resolve/main/README.md | ---
license: cc-by-nc-4.0
---
# Dataset Card for TexPrax
## 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 ... |
sil-ai | null | \
@InProceedings{huggingface:audio-keyword-spotting,
title = {audio-keyword-spotting},
author={Joshua Nemecek
},
year={2022}
} | null | false | 1 | false | sil-ai/audio-keyword-spotting | 2022-10-25T11:04:31.000Z | null | false | 5ed093783b2027664fb67bf53917aee0e79fb625 | [] | [
"annotations_creators:machine-generated",
"language_creators:other",
"language:eng",
"language:en",
"language:spa",
"language:es",
"language:ind",
"language:id",
"license:cc-by-4.0",
"multilinguality:multilingual",
"source_datasets:extended|common_voice",
"source_datasets:MLCommons/ml_spoken_w... | https://huggingface.co/datasets/sil-ai/audio-keyword-spotting/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- other
language:
- eng
- en
- spa
- es
- ind
- id
license: cc-by-4.0
multilinguality:
- multilingual
source_datasets:
- extended|common_voice
- MLCommons/ml_spoken_words
task_categories:
- automatic-speech-recognition
task_ids: []
pretty_name: Audio Keyw... |
and111 | null | null | null | false | 1 | false | and111/bert_pretrain_phase1 | 2022-08-23T17:14:31.000Z | null | false | 8359df330efa22f5f856aba4b0c307ecdaf691e3 | [] | [] | https://huggingface.co/datasets/and111/bert_pretrain_phase1/resolve/main/README.md | ### Dataset Summary
Input data for the **first** phase of BERT pretraining (sequence length 128). All text is tokenized with [bert-base-uncased](https://huggingface.co/bert-base-uncased) tokenizer.
Data is obtained by concatenating and shuffling [wikipedia](https://huggingface.co/datasets/wikipedia) (split: `20220301... |
RCC-MSU | null | @inproceedings{mozharova-loukachevitch-2016-two-stage-russian-ner,
author={Mozharova, Valerie and Loukachevitch, Natalia},
booktitle={2016 International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT)},
title={Two-stage approach in Russian named entity recognition},
year={2016},
pages={1-6... | Collection3 is a Russian dataset for named entity recognition annotated with LOC (location), PER (person), and ORG (organization) tags.
Dataset is based on collection Persons-1000 originally containing 1000 news documents labeled only with names of persons.
Additional labels were added by Valerie Mozharova and Natalia... | false | 93 | false | RCC-MSU/collection3 | 2022-10-12T09:16:06.000Z | null | false | 1e482baf20cc56634335c1c519a852672100f870 | [] | [
"annotations_creators:other",
"language:ru",
"language_creators:found",
"license:other",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"task_categories:token-classification",
"task_ids:named-entity-recognition"
] | https://huggingface.co/datasets/RCC-MSU/collection3/resolve/main/README.md | ---
annotations_creators:
- other
language:
- ru
language_creators:
- found
license:
- other
multilinguality:
- monolingual
pretty_name: Collection3
size_categories:
- 10K<n<100K
source_datasets: []
tags: []
task_categories:
- token-classification
task_ids:
- named-entity-recognition
dataset_info:
features:
- name:... |
and111 | null | null | null | false | 593 | false | and111/bert_pretrain_phase2 | 2022-08-24T14:01:12.000Z | null | false | 1a5c9e376174dae432c38636a90aafb600204ecd | [] | [] | https://huggingface.co/datasets/and111/bert_pretrain_phase2/resolve/main/README.md | ### Dataset Summary
Input data for the **second** phase of BERT pretraining (sequence length 512). All text is tokenized with [bert-base-uncased](https://huggingface.co/bert-base-uncased) tokenizer.
Data is obtained by concatenating and shuffling [wikipedia](https://huggingface.co/datasets/wikipedia) (split: `2022030... |
autoevaluate | null | null | null | false | 2 | false | autoevaluate/autoeval-eval-project-squad-3b1fb479-1302649847 | 2022-08-23T14:38:28.000Z | null | false | e97515e0046d6edb35a7e3e236e7f898bf0b3222 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:squad"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-squad-3b1fb479-1302649847/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad
eval_info:
task: extractive_question_answering
model: Graphcore/deberta-base-squad
metrics: []
dataset_name: squad
dataset_config: plain_text
dataset_split: validation
col_mapping:
context: context
question: question
answer... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-sepidmnorozy__Urdu_sentiment-559fc5f8-1302749848 | 2022-08-23T14:58:02.000Z | null | false | b1aa7d48bd28bf611cb1e24ebdacd4943790a24f | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:sepidmnorozy/Urdu_sentiment"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-sepidmnorozy__Urdu_sentiment-559fc5f8-1302749848/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- sepidmnorozy/Urdu_sentiment
eval_info:
task: summarization
model: yuvraj/summarizer-cnndm
metrics: ['accuracy']
dataset_name: sepidmnorozy/Urdu_sentiment
dataset_config: sepidmnorozy--Urdu_sentiment
dataset_split: train
col_mapping:
text... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-squad_v2-7b0e814c-1303349869 | 2022-08-23T16:38:54.000Z | null | false | 8024ae5e1f3ba083cbfca1e9b4499f4b38ff7b11 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:squad_v2"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-squad_v2-7b0e814c-1303349869/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad_v2
eval_info:
task: extractive_question_answering
model: nbroad/rob-base-superqa2
metrics: []
dataset_name: squad_v2
dataset_config: squad_v2
dataset_split: validation
col_mapping:
context: context
question: question
answer... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-adversarial_qa-92a1abad-1303449870 | 2022-08-23T16:39:03.000Z | null | false | ddd3894523954e4a2487931093cccd4a6ea182f4 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:adversarial_qa"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-adversarial_qa-92a1abad-1303449870/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- adversarial_qa
eval_info:
task: extractive_question_answering
model: nbroad/rob-base-superqa2
metrics: []
dataset_name: adversarial_qa
dataset_config: adversarialQA
dataset_split: test
col_mapping:
context: context
question: question... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-adversarial_qa-0243fffc-1303549871 | 2022-08-23T16:50:06.000Z | null | false | 4bb6b28f832a1118230451a2e98dfaab9409235f | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:adversarial_qa"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-adversarial_qa-0243fffc-1303549871/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- adversarial_qa
eval_info:
task: extractive_question_answering
model: nbroad/rob-base-superqa2
metrics: []
dataset_name: adversarial_qa
dataset_config: adversarialQA
dataset_split: validation
col_mapping:
context: context
question: qu... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-squad-1eddc82e-1303649872 | 2022-08-23T16:56:08.000Z | null | false | 86181b5c13aff9667b5513999aaf83d2747e49f8 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:squad"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-squad-1eddc82e-1303649872/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad
eval_info:
task: extractive_question_answering
model: nbroad/rob-base-superqa2
metrics: []
dataset_name: squad
dataset_config: plain_text
dataset_split: validation
col_mapping:
context: context
question: question
answers-te... |
cakiki | null | null | null | false | 2 | false | cakiki/abc | 2022-08-23T21:08:54.000Z | null | false | 8f5518a06e4ace72e5a8e25399e30cd2c21dae81 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/cakiki/abc/resolve/main/README.md | ---
license: cc-by-4.0
---
|
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-squad_v2-4a3c5c8d-1305249893 | 2022-08-23T21:07:54.000Z | null | false | 0ae49250e4884b552f29252e529d01c77029581f | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:squad_v2"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-squad_v2-4a3c5c8d-1305249893/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad_v2
eval_info:
task: extractive_question_answering
model: nbroad/rob-base-gc1
metrics: []
dataset_name: squad_v2
dataset_config: squad_v2
dataset_split: validation
col_mapping:
context: context
question: question
answers-tex... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-squad_v2-4a3c5c8d-1305249894 | 2022-08-23T21:08:47.000Z | null | false | 9d29ec3eb036547043efdbef5aeafa474f678f0e | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:squad_v2"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-squad_v2-4a3c5c8d-1305249894/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad_v2
eval_info:
task: extractive_question_answering
model: nbroad/deb-base-gc2
metrics: []
dataset_name: squad_v2
dataset_config: squad_v2
dataset_split: validation
col_mapping:
context: context
question: question
answers-tex... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-adversarial_qa-7ab9b963-1305349895 | 2022-08-23T21:06:32.000Z | null | false | 32c7f6b18f236793540e2161d62b9a722e0bf5d5 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:adversarial_qa"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-adversarial_qa-7ab9b963-1305349895/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- adversarial_qa
eval_info:
task: extractive_question_answering
model: nbroad/rob-base-gc1
metrics: []
dataset_name: adversarial_qa
dataset_config: adversarialQA
dataset_split: validation
col_mapping:
context: context
question: questio... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-adversarial_qa-7ab9b963-1305349896 | 2022-08-23T21:06:52.000Z | null | false | c0672e0447fc2813a905c6d33718bea35650baa2 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:adversarial_qa"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-adversarial_qa-7ab9b963-1305349896/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- adversarial_qa
eval_info:
task: extractive_question_answering
model: nbroad/deb-base-gc2
metrics: []
dataset_name: adversarial_qa
dataset_config: adversarialQA
dataset_split: validation
col_mapping:
context: context
question: questio... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-quoref-bbfe943f-1305449897 | 2022-08-23T21:08:05.000Z | null | false | 2c955c42d1e82b3e62b2f42b8639aa1d17be323a | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:quoref"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-quoref-bbfe943f-1305449897/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- quoref
eval_info:
task: extractive_question_answering
model: nbroad/rob-base-gc1
metrics: []
dataset_name: quoref
dataset_config: default
dataset_split: validation
col_mapping:
context: context
question: question
answers-text: an... |
autoevaluate | null | null | null | false | 2 | false | autoevaluate/autoeval-eval-project-quoref-bbfe943f-1305449898 | 2022-08-23T21:08:26.000Z | null | false | adbb98bfc272bb274f22f4c978a4bce3607b3597 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:quoref"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-quoref-bbfe943f-1305449898/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- quoref
eval_info:
task: extractive_question_answering
model: nbroad/deb-base-gc2
metrics: []
dataset_name: quoref
dataset_config: default
dataset_split: validation
col_mapping:
context: context
question: question
answers-text: an... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-squad_v2-1e2c143e-1305549899 | 2022-08-23T21:20:07.000Z | null | false | 75eff2931ed9963c2996d7744a83db02453b4e54 | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:squad_v2"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-squad_v2-1e2c143e-1305549899/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- squad_v2
eval_info:
task: extractive_question_answering
model: nbroad/rob-base-superqa1
metrics: []
dataset_name: squad_v2
dataset_config: squad_v2
dataset_split: validation
col_mapping:
context: context
question: question
answer... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-adversarial_qa-b21f20c3-1305649900 | 2022-08-23T21:18:46.000Z | null | false | c66053954b69c9ab189d13ae97c0106e6d162ebe | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:adversarial_qa"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-adversarial_qa-b21f20c3-1305649900/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- adversarial_qa
eval_info:
task: extractive_question_answering
model: nbroad/rob-base-superqa1
metrics: []
dataset_name: adversarial_qa
dataset_config: adversarialQA
dataset_split: validation
col_mapping:
context: context
question: qu... |
autoevaluate | null | null | null | false | 1 | false | autoevaluate/autoeval-eval-project-quoref-9c01ff03-1305849901 | 2022-08-23T21:42:05.000Z | null | false | 335a5dd4efdc8cc6250a3c6f4a72c336f039f91e | [] | [
"type:predictions",
"tags:autotrain",
"tags:evaluation",
"datasets:quoref"
] | https://huggingface.co/datasets/autoevaluate/autoeval-eval-project-quoref-9c01ff03-1305849901/resolve/main/README.md | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- quoref
eval_info:
task: extractive_question_answering
model: nbroad/rob-base-superqa1
metrics: []
dataset_name: quoref
dataset_config: default
dataset_split: validation
col_mapping:
context: context
question: question
answers-tex... |
djaym7 | null | @inproceedings{dai2022dialoginpainting,
title={Dialog Inpainting: Turning Documents to Dialogs},
author={Dai, Zhuyun and Chaganty, Arun Tejasvi and Zhao, Vincent and Amini, Aida and Green, Mike and Rashid, Qazi and Guu, Kelvin},
booktitle={International Conference on Machine Learning (ICML)},
year={2022},
org... | WikiDialog is a large dataset of synthetically generated information-seeking
conversations. Each conversation in the dataset contains two speakers grounded
in a passage from English Wikipedia: one speaker’s utterances consist of exact
sentences from the passage; the other speaker is generated by a large language
model. | false | 1 | false | djaym7/wiki_dialog_mlm | 2022-08-23T22:23:32.000Z | null | false | 59b17e6ed36b643b608da2d1e2fe8827278c2459 | [] | [
"arxiv:2205.09073",
"license:apache-2.0"
] | https://huggingface.co/datasets/djaym7/wiki_dialog_mlm/resolve/main/README.md | ---
license: apache-2.0
---
Wiki_dialog dataset with Inpainting (MLM) on dialog. Section 2.1 in paper : https://arxiv.org/abs/2205.09073
https://huggingface.co/datasets/djaym7/wiki_dialog
Access using
dataset = datasets.load_dataset('djaym7/wiki_dialog_mlm','OQ', beam_runner='DirectRunner') |
Sidd2899 | null | null | null | false | 1 | false | Sidd2899/MyspeechASR | 2022-09-01T12:36:24.000Z | librispeech-1 | false | 07d3d059cbdce2156e917dfbc63d43f068f9efdb | [] | [
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:automatic-speech-recognition",
"task_categor... | https://huggingface.co/datasets/Sidd2899/MyspeechASR/resolve/main/README.md | ---
pretty_name: LibriSpeech
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
paperswithcode_id: librispeech-1
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- automatic-speech-reco... |
TeDriCS | null | @misc{,
title={ },
author={},
year={2022}
} | null | false | 29 | false | TeDriCS/tedrics-data | 2022-09-07T14:57:46.000Z | null | false | c5d0fec0471ea24513d7f5f7de12d1d4daf8c70a | [] | [] | https://huggingface.co/datasets/TeDriCS/tedrics-data/resolve/main/README.md | |
thepurpleowl | null | @article{codequeries2022,
title={Learning to Answer Semantic Queries over Code},
author={A, B, C, D, E, F},
journal={arXiv preprint arXiv:<.>},
year={2022}
} | CodeQueries Ideal setup. | false | 1 | false | thepurpleowl/codequeries | 2022-09-24T04:04:30.000Z | null | false | 6e4338ec1ba4ab7dc7d87c8893b0509da004145a | [] | [
"arxiv:2209.08372",
"annotations_creators:expert-generated",
"language:code",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"tags:neural modeling of code",
"tags:code question answering",
"tags:code semantic understanding",
"ta... | https://huggingface.co/datasets/thepurpleowl/codequeries/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language:
- code
language_creators:
- found
multilinguality:
- monolingual
pretty_name: codequeries
size_categories:
- 100K<n<1M
source_datasets:
- original
tags:
- neural modeling of code
- code question answering
- code semantic understanding
task_categories:
- question-an... |
albertvillanova | null | null | null | false | 1 | false | albertvillanova/tmp-10 | 2022-08-24T15:41:27.000Z | null | false | 6420a7628eb1cf05f5e24dd36501e47edc999a0a | [] | [
"language:ase",
"language:en"
] | https://huggingface.co/datasets/albertvillanova/tmp-10/resolve/main/README.md | ---
language:
- ase
- en
--- |
Jaren | null | null | null | false | 1 | false | Jaren/T5-dialogue-pretrain-data | 2022-08-30T15:01:24.000Z | null | false | 738036ce5d904fdf2509ce44cd1d5d63b25582fa | [] | [] | https://huggingface.co/datasets/Jaren/T5-dialogue-pretrain-data/resolve/main/README.md | This dataset is converted from duconv, durecdial, ecm, naturalconv, persona, tencent, kdconv, crosswoz,risawoz,diamante,restoration and LCCC-base 12 high quality datasets and is used for continue pretrain task for T5-pegasus in mengzi version.
|
kdwm | null | null | null | false | 1 | false | kdwm/weather-sentences | 2022-08-24T12:10:55.000Z | null | false | 73715a71e2f1d5eb20949bcadc921e7e32d97072 | [] | [
"license:mit"
] | https://huggingface.co/datasets/kdwm/weather-sentences/resolve/main/README.md | ---
license: mit
---
|
dyhsup | null | null | null | false | 1 | false | dyhsup/CPR | 2022-08-24T13:05:19.000Z | null | false | 969692674a1c5bbb1469682eda42d81fe5c8d64d | [] | [
"license:unknown"
] | https://huggingface.co/datasets/dyhsup/CPR/resolve/main/README.md | ---
license: unknown
---
|
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