Datasets:
davanstrien
/
test_card

Dataset card Data Studio Files
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alexcadillon/SemEval2016Task5
2023-09-12T09:07:00.000Z
[ "region:us" ]
alexcadillon
These are the datasets for Aspect Based Sentiment Analysis (ABSA), Task 5 of SemEval-2016.
@inproceedings{pontiki-etal-2016-semeval, title = "{S}em{E}val-2016 Task 5: Aspect Based Sentiment Analysis", author = {Pontiki, Maria and Galanis, Dimitris and Papageorgiou, Haris and Androutsopoulos, Ion and Manandhar, Suresh and AL-Smadi, Mohammad and Al-Ayyoub, Mahmoud and Zhao, Yanyan and Qin, Bing and De Clercq, Orphée and Hoste, Véronique and Apidianaki, Marianna and Tannier, Xavier and Loukachevitch, Natalia and Kotelnikov, Evgeniy and Bel, Nuria and Jiménez-Zafra, Salud María and Eryiğit, Gülşen}, booktitle = "Proceedings of the 10th International Workshop on Semantic Evaluation ({S}em{E}val-2016)", month = jun, year = "2016", address = "San Diego, California", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/S16-1002", doi = "10.18653/v1/S16-1002", pages = "19--30", }
null
0
0
Entry not found
jscode13/dog-data2
2023-09-06T14:57:59.000Z
[ "region:us" ]
jscode13
null
null
null
0
0
quocanh34/data_for_synthesis_with_entities_align_v2
2023-09-06T14:46:23.000Z
[ "region:us" ]
quocanh34
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: sentence dtype: string - name: intent dtype: string - name: sentence_annotation dtype: string - name: entities list: - name: type dtype: string - name: filler dtype: string - name: file dtype: string - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: origin_transcription dtype: string - name: sentence_norm dtype: string - name: w2v2_large_transcription dtype: string - name: wer dtype: int64 - name: entities_norm list: - name: filler dtype: string - name: type dtype: string - name: entities_align dtype: string splits: - name: train num_bytes: 698110051.1801205 num_examples: 1413 download_size: 158745470 dataset_size: 698110051.1801205 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "data_for_synthesis_with_entities_align_v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BlueCaktus/turk_kasr
2023-09-06T14:48:42.000Z
[ "region:us" ]
BlueCaktus
null
null
null
0
0
Entry not found
kandriiashevskyi/gpt_finetuning
2023-09-06T15:01:08.000Z
[ "region:us" ]
kandriiashevskyi
null
null
null
0
0
Entry not found
P1ayer-1/isbndb-annas
2023-09-09T03:54:21.000Z
[ "region:us" ]
P1ayer-1
null
null
null
0
0
--- dataset_info: features: - name: title dtype: string - name: authors sequence: string - name: language dtype: string - name: title_long dtype: string - name: date_published dtype: string - name: isbn dtype: string - name: isbn13 dtype: string splits: - name: train num_bytes: 5382889444 num_examples: 28086774 download_size: 0 dataset_size: 5382889444 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "isbndb-annas" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
quocanh34/test_synthesis_data
2023-09-06T16:35:36.000Z
[ "region:us" ]
quocanh34
null
null
null
0
0
--- dataset_info: features: - name: audio struct: - name: array sequence: float64 - name: path dtype: 'null' - name: sampling_rate dtype: int64 - name: transcription dtype: string splits: - name: train num_bytes: 38195460 num_examples: 75 download_size: 9149788 dataset_size: 38195460 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "test_synthesis_data" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
porthu/newshu
2023-09-06T16:21:40.000Z
[ "region:us" ]
porthu
null
null
null
0
0
Entry not found
ludis/whocars
2023-09-13T00:08:08.000Z
[ "size_categories:10K<n<100K", "not-for-all-audiences", "conversational", "roleplay", "region:us" ]
ludis
null
null
null
0
0
--- pretty_name: whocars tags: - not-for-all-audiences - conversational - roleplay size_categories: - 10K<n<100K --- csv logs from one of the whocars proxies idr which one has some gpt3.5/gpt4 maybe some claude idk, just a dump so i can del from my drive
lonestar108/dwitter
2023-09-07T02:44:59.000Z
[ "region:us" ]
lonestar108
null
null
null
0
0
--- configs: - config_name: default data_files: - split: best_train path: data/best_train-* - split: best_valid path: data/best_valid-* - split: most_train path: data/most_train-* - split: most_valid path: data/most_valid-* - split: good_train path: data/good_train-* - split: good_valid path: data/good_valid-* - split: top_train path: data/top_train-* dataset_info: features: - name: text dtype: string splits: - name: best_train num_bytes: 80682 num_examples: 577 - name: best_valid num_bytes: 7190 num_examples: 52 - name: most_train num_bytes: 956260 num_examples: 7018 - name: most_valid num_bytes: 135422 num_examples: 994 - name: good_train num_bytes: 324996 num_examples: 2350 - name: good_valid num_bytes: 40160 num_examples: 290 - name: top_train num_bytes: 25101 num_examples: 178 download_size: 999167 dataset_size: 1569811 --- # Dataset Card for "dwitter" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
kkuramitsu/jhumaneval
2023-09-06T16:51:14.000Z
[ "license:mit", "region:us" ]
kkuramitsu
null
null
null
0
0
--- license: mit ---
New-world/avea
2023-09-06T19:13:21.000Z
[ "region:us" ]
New-world
null
null
null
0
0
Entry not found
MalaikaMonteiro/Task-Generation
2023-09-06T17:00:49.000Z
[ "region:us" ]
MalaikaMonteiro
null
null
null
0
0
Entry not found
winkm/processed_bert_dataset
2023-09-06T17:05:21.000Z
[ "region:us" ]
winkm
null
null
null
0
0
--- dataset_info: features: - name: input_ids sequence: int32 - name: token_type_ids sequence: int8 - name: attention_mask sequence: int8 - name: special_tokens_mask sequence: int8 splits: - name: train num_bytes: 8473147200.0 num_examples: 2353652 download_size: 2275912633 dataset_size: 8473147200.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "processed_bert_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
linhtran92/infer_55epoch
2023-09-06T17:10:03.000Z
[ "region:us" ]
linhtran92
null
null
null
0
0
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: id dtype: string - name: w2v2_baseline_transcription dtype: string - name: w2v2_baseline_norm dtype: string splits: - name: train num_bytes: 174371517.027 num_examples: 1299 download_size: 164199681 dataset_size: 174371517.027 --- # Dataset Card for "infer_55epoch" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
TSGallen/metadata.csv
2023-09-06T18:14:56.000Z
[ "region:us" ]
TSGallen
null
null
null
0
0
instruction, input, output Give three tips for staying healthy.,, Eat a balance diet What is an IV? ,,An instrumental variable.
SaleemUllah/address_dataset
2023-09-06T17:35:38.000Z
[ "region:us" ]
SaleemUllah
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: train num_bytes: 71677.78378378379 num_examples: 99 - name: test num_bytes: 8688.216216216217 num_examples: 12 download_size: 28411 dataset_size: 80366.0 --- # Dataset Card for "address_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
yzhuang/autotree_pmlb_100000_magic_sgosdt_l256_d3_sd0
2023-09-06T17:58:14.000Z
[ "region:us" ]
yzhuang
null
null
null
0
0
--- dataset_info: features: - name: id dtype: int64 - name: input_x sequence: sequence: float32 - name: input_y sequence: sequence: float32 - name: rtg sequence: float64 - name: status sequence: sequence: float32 - name: split_threshold sequence: sequence: float32 - name: split_dimension sequence: int64 splits: - name: train num_bytes: 2056800000 num_examples: 100000 - name: validation num_bytes: 205680000 num_examples: 10000 download_size: 1056120152 dataset_size: 2262480000 --- # Dataset Card for "autotree_pmlb_100000_magic_sgosdt_l256_d3_sd0" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mespinosami/synthetic-cloud-removal
2023-09-06T18:37:02.000Z
[ "region:us" ]
mespinosami
null
null
null
0
0
--- dataset_info: features: - name: image dtype: image - name: cloudy dtype: image - name: text_prompt dtype: string splits: - name: train num_bytes: 7879735409.03169 num_examples: 68195 - name: test num_bytes: 1957989430.9243114 num_examples: 17049 download_size: 9796796535 dataset_size: 9837724839.956001 --- # Dataset Card for "synthetic-cloud-removal" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
TSGallen/metadata2
2023-09-07T16:53:49.000Z
[ "region:us" ]
TSGallen
null
null
null
0
0
Entry not found
vikp/pypi_labeled
2023-09-06T23:51:01.000Z
[ "region:us" ]
vikp
null
null
null
2
0
--- dataset_info: features: - name: code dtype: string - name: package dtype: string - name: path dtype: string - name: filename dtype: string - name: parsed_code dtype: string - name: quality_prob dtype: float64 - name: learning_prob dtype: float64 splits: - name: train num_bytes: 40005369487 num_examples: 1902405 download_size: 11174800633 dataset_size: 40005369487 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "pypi_labeled" All of the latest package versions from pypi. The original data came from [here](https://py-code.org/datasets). I pulled the latest versions of each package, then extracted only `md`, `rst`, `ipynb`, and `py` files. I then applied some cleaning: - rendering notebooks - removing leading comments/licenses Then filtered out some low-quality code, and labeled the rest according to learning value and quality. Subset by those columns to get higher quality code.
jpawan33/fkr30k-image-captioning-dataset
2023-09-09T04:17:11.000Z
[ "region:us" ]
jpawan33
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 1625135945.608 num_examples: 31782 download_size: 1621386563 dataset_size: 1625135945.608 --- # Dataset Card for "fkr30k-image-captioning-dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
e-mohammadii/dfdgdfghd
2023-09-06T19:09:51.000Z
[ "region:us" ]
e-mohammadii
null
null
null
0
0
Entry not found
ocariz/latents_kl3
2023-09-06T19:29:28.000Z
[ "region:us" ]
ocariz
null
null
null
0
0
--- dataset_info: features: - name: image sequence: sequence: sequence: float32 splits: - name: train num_bytes: 1308440000 num_examples: 70000 download_size: 1196391081 dataset_size: 1308440000 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "latents_kl3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ocariz/latents_kl3_image
2023-09-06T19:41:13.000Z
[ "region:us" ]
ocariz
null
null
null
0
0
--- dataset_info: features: - name: image sequence: sequence: sequence: float32 splits: - name: train num_bytes: 1308440000 num_examples: 70000 download_size: 0 dataset_size: 1308440000 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "latents_kl3_image" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Tasfiul/Agricultural-dataset
2023-09-06T19:45:34.000Z
[ "region:us" ]
Tasfiul
null
null
null
1
0
Entry not found
JimYan/medicaltxt
2023-09-06T20:14:54.000Z
[ "license:bsd", "region:us" ]
JimYan
null
null
null
0
0
--- license: bsd ---
robertmyers/sybil
2023-09-06T23:48:29.000Z
[ "region:us" ]
robertmyers
null
null
null
0
0
Entry not found
adriancowham/letstalk
2023-09-06T23:34:46.000Z
[ "region:us" ]
adriancowham
null
null
null
0
0
Entry not found
Arealbot/BigData
2023-09-06T20:52:08.000Z
[ "license:unknown", "region:us" ]
Arealbot
null
null
null
0
0
--- license: unknown --- dont do it to me i will no please dont
Mariooo88/share
2023-09-06T20:53:06.000Z
[ "license:openrail", "region:us" ]
Mariooo88
null
null
null
0
0
--- license: openrail ---
jtatman/jigsaw_hatebert
2023-09-06T22:01:50.000Z
[ "region:us" ]
jtatman
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string - name: text_masked dtype: string - name: text_replaced list: - name: score dtype: float64 - name: sequence dtype: string - name: token dtype: int64 - name: token_str dtype: string - name: asian dtype: string - name: atheist dtype: string - name: bisexual dtype: string - name: black dtype: string - name: buddhist dtype: string - name: christian dtype: string - name: female dtype: string - name: heterosexual dtype: string - name: hindu dtype: string - name: homosexual_gay_or_lesbian dtype: string - name: intellectual_or_learning_disability dtype: string - name: jewish dtype: string - name: latino dtype: string - name: male dtype: string - name: muslim dtype: string - name: other_disability dtype: string - name: other_gender dtype: string - name: other_race_or_ethnicity dtype: string - name: other_religion dtype: string - name: other_sexual_orientation dtype: string - name: physical_disability dtype: string - name: psychiatric_or_mental_illness dtype: string - name: transgender dtype: string - name: white dtype: string - name: funny dtype: string - name: wow dtype: string - name: sad dtype: string - name: likes dtype: string - name: disagree dtype: string - name: target dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 236287827 num_examples: 110000 download_size: 83975623 dataset_size: 236287827 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "jigsaw_hatebert" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
rmadiraju/rm-cr-search-1
2023-09-06T21:43:14.000Z
[ "region:us" ]
rmadiraju
null
null
null
0
0
--- dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string - name: text dtype: string splits: - name: train num_bytes: 19941 num_examples: 9 download_size: 19959 dataset_size: 19941 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "rm-cr-search-1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
NexaAI/Processed_Plus
2023-09-06T22:00:31.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 16396650022.391663 num_examples: 6008 download_size: 15954441937 dataset_size: 16396650022.391663 --- # Dataset Card for "Processed_Plus" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mohamedkhaoulani/trial
2023-09-06T21:59:02.000Z
[ "region:us" ]
mohamedkhaoulani
null
null
null
0
0
Entry not found
adityarra07/ATC_1_3_full
2023-09-06T22:50:40.000Z
[ "region:us" ]
adityarra07
null
null
null
0
0
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: id dtype: string splits: - name: train num_bytes: 3281466044.2559996 num_examples: 24212 download_size: 3236917810 dataset_size: 3281466044.2559996 --- # Dataset Card for "ATC_1_3_full" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
HenriCastro/th_dt_01
2023-09-06T23:22:06.000Z
[ "region:us" ]
HenriCastro
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 445377 num_examples: 242 download_size: 224741 dataset_size: 445377 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "th_dt_01" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
darkcleopas/jigsaw-toxic-comment-multi-binary
2023-09-06T23:27:38.000Z
[ "license:cc0-1.0", "region:us" ]
darkcleopas
null
null
null
0
0
--- license: cc0-1.0 ---
Augusto777/dmae-dataset
2023-09-06T23:34:41.000Z
[ "region:us" ]
Augusto777
null
null
null
0
0
--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': avanzada '1': leve '2': moderada '3': no amd splits: - name: train num_bytes: 48967077.0 num_examples: 40 - name: test num_bytes: 16065989.0 num_examples: 16 - name: validation num_bytes: 15887796.0 num_examples: 16 download_size: 80912022 dataset_size: 80920862.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* --- # Dataset Card for "dmae-dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Kingjinsoo/nlp_2023
2023-09-10T05:20:34.000Z
[ "license:llama2", "region:us" ]
Kingjinsoo
null
null
null
0
0
--- license: llama2 ---
dileepsai/bloomlotr
2023-09-06T23:43:40.000Z
[ "region:us" ]
dileepsai
null
null
null
0
0
--- dataset_info: features: - name: input_ids sequence: int32 splits: - name: train num_bytes: 2196528.0 num_examples: 268 - name: test num_bytes: 245880.0 num_examples: 30 download_size: 1125209 dataset_size: 2442408.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* --- # Dataset Card for "bloomlotr" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AAA1988/control_codes
2023-09-07T03:35:12.000Z
[ "region:us" ]
AAA1988
null
null
null
0
0
wxvyy/indigothedreamer
2023-09-07T00:28:29.000Z
[ "license:other", "region:us" ]
wxvyy
null
null
null
0
0
--- license: other ---
icreatedhistory/my-loras
2023-09-14T04:16:29.000Z
[ "region:us" ]
icreatedhistory
null
null
null
0
0
Entry not found
c-coh/ai
2023-09-07T01:04:15.000Z
[ "region:us" ]
c-coh
null
null
null
0
0
Entry not found
tingchih/Multi_News_fact_checking_claims
2023-09-07T01:13:02.000Z
[ "region:us" ]
tingchih
null
null
null
0
0
--- dataset_info: features: - name: Documents sequence: string - name: Claim dtype: string - name: label dtype: string splits: - name: train num_bytes: 11477115090 num_examples: 1038279 - name: test num_bytes: 2800203857 num_examples: 252889 download_size: 349947614 dataset_size: 14277318947 --- # Dataset Card for "v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
adityarra07/ATC_1_3_10k
2023-09-07T01:12:38.000Z
[ "region:us" ]
adityarra07
null
null
null
0
0
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: id dtype: string splits: - name: train num_bytes: 1355305101.84867 num_examples: 10000 download_size: 1327159717 dataset_size: 1355305101.84867 --- # Dataset Card for "ATC_1_3_10k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
adityarra07/ATC_1_3_14k
2023-09-07T01:13:36.000Z
[ "region:us" ]
adityarra07
null
null
null
0
0
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: id dtype: string splits: - name: train num_bytes: 1926157166.28333 num_examples: 14212 download_size: 1910344158 dataset_size: 1926157166.28333 --- # Dataset Card for "ATC_1_3_14k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BloodyMachinery/ShirleyTemple
2023-09-07T01:40:24.000Z
[ "region:us" ]
BloodyMachinery
null
null
null
0
0
Entry not found
nguyenthanhdo/dummy_alpaca
2023-09-07T06:42:03.000Z
[ "region:us" ]
nguyenthanhdo
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: model_input dtype: string - name: input dtype: string - name: model_output dtype: string - name: text dtype: string splits: - name: train num_bytes: 46208623 num_examples: 52002 download_size: 24247917 dataset_size: 46208623 --- # Dataset Card for "dummy_alpaca" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
PeepDaSlan9/B2BMGMT_3.5
2023-09-16T04:05:00.000Z
[ "task_categories:text-generation", "license:apache-2.0", "region:us" ]
PeepDaSlan9
null
null
null
0
0
--- license: apache-2.0 task_categories: - text-generation --- # Dataset Card for Dataset Name ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
yuuzaaman/nva-data
2023-09-07T02:39:41.000Z
[ "region:us" ]
yuuzaaman
null
null
null
0
0
Entry not found
shengqin/bloomz-xss-sqli-30000
2023-09-07T02:43:19.000Z
[ "region:us" ]
shengqin
null
null
null
0
0
Entry not found
NexaAI/Processed_Plus_With_Face
2023-09-07T03:38:01.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 16246460552.0 num_examples: 6008 download_size: 0 dataset_size: 16246460552.0 --- # Dataset Card for "Processed_Plus_With_Face" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
LNL/AI_homeworkcorrecting_0907
2023-09-07T02:58:03.000Z
[ "license:afl-3.0", "region:us" ]
LNL
null
null
null
0
0
--- license: afl-3.0 ---
chunpingvi/vi_clean_text
2023-09-07T03:22:46.000Z
[ "region:us" ]
chunpingvi
null
null
null
0
0
Entry not found
rmadiraju/rm-cr-search-2
2023-09-07T03:03:04.000Z
[ "region:us" ]
rmadiraju
null
null
null
0
0
--- dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string - name: text dtype: string splits: - name: train num_bytes: 21011 num_examples: 9 download_size: 21443 dataset_size: 21011 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "rm-cr-search-2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
shengqin/bloomz-xss-sqli-30000-1epoch
2023-09-07T03:07:07.000Z
[ "region:us" ]
shengqin
null
null
null
0
0
Entry not found
yuuzaaman/nva-seisoku
2023-09-07T03:09:37.000Z
[ "region:us" ]
yuuzaaman
null
null
null
0
0
Entry not found
MouseTrap/styleGen-test-Voxel_Revolution
2023-09-07T03:31:35.000Z
[ "region:us" ]
MouseTrap
null
null
null
0
0
Entry not found
ittailup/ecu_juri_rawfacts
2023-09-07T03:51:19.000Z
[ "region:us" ]
ittailup
null
null
null
0
0
--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: instruction dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 114733486 num_examples: 3816 download_size: 52736931 dataset_size: 114733486 --- # Dataset Card for "ecu_juri_rawfacts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
EleutherAI/mutual
2023-09-07T04:31:49.000Z
[ "region:us" ]
EleutherAI
MuTual is a retrieval-based dataset for multi-turn dialogue reasoning, which is modified from Chinese high school English listening comprehension test data.
@inproceedings{mutual, title = "MuTual: A Dataset for Multi-Turn Dialogue Reasoning", author = "Cui, Leyang and Wu, Yu and Liu, Shujie and Zhang, Yue and Zhou, Ming" , booktitle = "Proceedings of the 58th Conference of the Association for Computational Linguistics", year = "2020", publisher = "Association for Computational Linguistics", }
null
0
0
Entry not found
giganion/airoboros-gpt4-m2-2_standardized
2023-09-07T04:36:55.000Z
[ "region:us" ]
giganion
null
null
null
0
0
Entry not found
TinyPixel/tl
2023-09-07T04:38:39.000Z
[ "region:us" ]
TinyPixel
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 2915260 num_examples: 1030 download_size: 1697269 dataset_size: 2915260 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "tl" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
adriancowham/letstalk-instruct
2023-09-07T05:13:49.000Z
[ "region:us" ]
adriancowham
null
null
null
0
0
Entry not found
pvduy/code_prompt_evol_lemur
2023-09-07T05:35:37.000Z
[ "region:us" ]
pvduy
null
null
null
0
0
--- dataset_info: features: - name: inputs dtype: string - name: outputs dtype: string splits: - name: train num_bytes: 122799704 num_examples: 60000 download_size: 53813219 dataset_size: 122799704 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "code_prompt_evol_lemur" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
jaty54/datapython
2023-09-07T13:41:55.000Z
[ "license:mit", "region:us" ]
jaty54
null
null
null
0
0
--- license: mit ---
marasama/nva-yukikaze_panettone
2023-09-07T05:44:30.000Z
[ "region:us" ]
marasama
null
null
null
0
0
Entry not found
xomicvoh/DeAtCh
2023-09-07T06:24:56.000Z
[ "region:us" ]
xomicvoh
null
null
null
0
0
Entry not found
zw980307/data_set
2023-09-07T06:17:14.000Z
[ "region:us" ]
zw980307
null
null
null
0
0
Entry not found
sarahlintang/Alpaca_indo_instruct
2023-09-07T06:27:38.000Z
[ "language:id", "region:us" ]
sarahlintang
null
null
null
0
0
--- language: - id --- Translated from Stanford alpaca using google translate API.
rejuvareviews/RejuvaSkinTagRemover
2023-09-07T06:25:34.000Z
[ "region:us" ]
rejuvareviews
null
null
null
0
0
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Whether it's sagging skin, wrinkles, tanning, age spots, or more, <a href="https://rejuva-updates.clubeo.com">Rejuva Tag Skin Tag Remover</a> is here to assist. With Rejuva Skin Tag Remover, you can anticipate a swift transformation in the cleanliness and vitality of your skin, revitalizing your self-confidence. 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Unlike chemical treatments laden with potentially harmful substances, this cream offers a safe and effective alternative.Extensive research has confirmed the absence of harmful substances in Rejuva Skin Tag Remover, which is enriched with natural, organic proteins, catering to a diverse range of skin types. For optimal results, maintain your skin's health and ensure it's free from any inflammation or other issues. Your journey to radiant, problem-free skin begins here.</p> <h2 style="text-align: justify;"><strong>How Does Rejuva Tag Skin Tag Remover Work?</strong></h2> <p style="text-align: justify;">After only eight hours of using Rejuva Skin Tag Remover solution, you will see dramatic improvements in your skin that will make you think you're staring at someone else when you look in the mirror. Using this serum regularly will lead to slow peeling of skin tags, providing results comparable to pricey laser treatments. The skin tag disappears as the skin tag removal solution is absorbed, and the skin's natural appearance and texture are restored.</p> <div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://www.healthsupplement24x7.com/get-rejuva-skin-tag-remover"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEggRUgd_0vTe9gEaSpKBY0DCkeRfU6viRaj-kf0O6fxOBq2JwA0vzaqLGiGEy4iDN4fCh9Ff5aG9p-0-cttMGM_TokLJwreSLd9BLPJLqm52RzFz8nBNvbvupHWv_iiHnS0Yi-HO8saCc-aFPNfI2wpSN4kSpukhLFNYGDeGgMbdebinR-AoOSB8IAssV8/w640-h240/Rejuva%20Skin%20Tag%20Remover%207.jpg" alt="" width="640" height="240" border="0" data-original-height="458" data-original-width="1220" /></a></div> <p style="text-align: justify;">Rejuva Skin Tag Remover's cutting-edge treatment gets to the root of the problem, eliminating skin tags and warts once and for all. The increased production of white blood cells helps the body fight off malignant tumours on its own. Skin tags and warts, in general, become smaller and eventually disappear over time. Moles, warts, and other skin growths, even those that emerge mysteriously as part of the skin's usual restorative process, can also be surgically removed using the same methods as skin tag removal.In place of painful and expensive laser surgery, the makers of Rejuva Skin Tag Remover natural elixir claim their product can effectively remove skin tags, moles, and warts. In addition to improving your skin's overall health, the skin tag serum also helps strengthen your immune system, making you less vulnerable to skin infections and allergic responses.</p> <h2 style="text-align: justify;"><strong>What Are the Ingredients Used in Rejuva Tag Skin Tag Remover?</strong></h2> <p style="text-align: justify;"><strong>Zincum Muriaticum :</strong> Zincum muriaticum, a naturally occurring mineral, is included in the serum due to its cleaning, disinfecting, and protective properties. It acts as a thin coating, encouraging warts and moles to scab over. It's beneficial for a wide range of skin conditions.</p> <p style="text-align: justify;"><strong>Bloodroot :</strong> Bloodroot is a plant extract that inhibits the growth of moles, warts, and tumours in addition to having antioxidant characteristics. It works wonderfully to remove moles and other skin imperfections.</p> <p style="text-align: justify;"><strong>Aloe Vera Gel :</strong> The Aloe Vera plant's derived gel has medicinal and antibacterial effects. It is quite effective at eliminating the underlying source of moles and tags. In addition to being effective against skin warts and tags, it also helps get rid of bacteria and improves the skin's overall health.</p> <p style="text-align: justify;"><strong>Apple Pectin :</strong> Apple pectin has been studied extensively for its ability to treat UV damage, minimise the signs of ageing, and improve the skin's overall condition.</p> <p style="text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://www.healthsupplement24x7.com/get-rejuva-skin-tag-remover"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgQMSusqNGMBdzZTcth0CbqpvjxuJVdlgPnR9IWpHY1We1Vmv5hgG7DRZOnFjmdrKNtHknaMS--JK64jlYTs5xXj4dZnMfOJhxgmRe2zXMaANaF-6sWtVmc4N9B8lxD8YkCVttNADJv604nuoWWSAHlTlcAdjJNQNLIhCiw1P_FdMLppGpUHn1GQDrLjow/w640-h272/Rejuva%20Skin%20Tag%20Remover%208.png" alt="" width="640" height="272" border="0" data-original-height="593" data-original-width="1399" /></a></p> <p style="text-align: justify;"><strong>Oatmeal Bran :</strong> This hydrating component also acts as a gentle exfoliator, removing dull, lifeless skin cells and bringing back the skin's natural radiance. It has many applications for warding off the signs of ageing, including protecting skin cells from harm.</p> <p style="text-align: justify;"><strong>Acidophilus :</strong> Acidophilus is an effective treatment for many skin problems, including tags and acne. Removes skin tags, lessens the look of fine wrinkles, and increases collagen production, all of which contribute to a more youthful appearance.</p> <p style="text-align: justify;"><strong>Papaya Leaf Extract :</strong> Papaya leaf extract contains exfoliating enzymes that aid in reducing the appearance of scarring and restoring the skin's natural radiance. The high levels of vitamin A and alpha hydroxy acid in it make it a powerful exfoliator that evens out skin tone and brings out the natural glow in your complexion.</p> <h2 style="text-align: center;"><span style="background-color: #993300; color: white;"><a style="background-color: #993300; color: white;" href="https://www.healthsupplement24x7.com/get-rejuva-skin-tag-remover"><strong>➦➦Order Here Your Rejuva Tag Skin Tag Remover &amp; Grab The Big Discount Right Now!</strong></a></span></h2> <h2 style="text-align: justify;"><strong>Benefits of Rejuva Tag Skin Tag Remover:</strong></h2> <ul style="text-align: justify;"> <li>One of the most impressive aspects of Rejuva Skin Tag Remover's treatment is its ability to both eliminate existing skin tags and stop them from returning in the future. It's not only about fixing the obvious problem; it's about the skin's health in the long run.</li> <li>Rejuva Tag Skin Tag Remover is excellent in removing those tenacious dark moles. It not only gets rid of them, but improves the skin's appearance overall by getting rid of the pigmented skin cells that cause them.</li> </ul> <p style="text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://www.healthsupplement24x7.com/get-rejuva-skin-tag-remover"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDlEkTXXRyLs8437wpAwbR-DgKrHLrAP6dKbZRMzmL3mxWAK0n393oRoRIRI69FLQhPdDLK7J8n4QO96dJRvVooXJyeCcMUHCxsxPIXj2ZDvdUyfY1vNXRmBbpbupQpoVt-U_6M0tJ6bADvln_VqWV2gZ1KAr_3XWusA2scYdL5Mi0jT2XVcVVzWRBhik/w640-h330/Rejuva%20Skin%20Tag%20Remover%201.jpg" alt="" width="640" height="330" border="0" data-original-height="672" data-original-width="1305" /></a></p> <ul style="text-align: justify;"> <li>The serum has been shown to be especially effective at reducing the visibility of light moles, especially in difficult-to-treat, sensitive locations such as the armpits and the gaps between the fingers. Its pinpoint accuracy makes it ideal for eliminating even the most minute of flaws.</li> <li>Put an end to skin warts for good: Rejuva Tag Skin Tag Remover will effectively get rid of even the most stubborn skin warts. In addition to eradicating this infectious skin condition, it also leaves behind skin that is remarkably healthy and smooth without any traces of inflammation or redness.</li> <li>The remedy is so powerful that not even the largest, most resistant warts can resist it. With regular use of Rejuva Tag Skin Tag Remover, you may say goodbye to this common skin issue and hello to smooth, beautiful skin. Regain your self-assurance and appreciate the glow of spotless skin with Rejuva Tag Skin Tag Remover.</li> </ul> <h2 style="text-align: justify;"><strong>Pros of Rejuva Tag Skin Tag Remover:</strong></h2> <ul style="text-align: justify;"> <li>It is a risk-free and comfortable approach of removing moles, warts, and skin tags.</li> <li>only natural, high-quality ingredients were used in the formulation, giving your skin the best treatment imaginable.</li> <li>Rejuva Skin Tag Remover's versatility makes it suitable for use in any skin care regimen, making it suitable for use by people of all skin types.</li> <li>If you use Rejuva Skin Tag Remover consistently, you should notice a difference in your skin's texture and health.</li> <li>Long-term skin health is improved because not only are existing skin growths removed, but the occurrence and severity of future growths are also reduced.</li> <li>Rejuva Skin Tag Remover is a great addition to any skincare routine because of how easy it is to use.</li> <li>You may rest assured that the product is of the highest quality because it was manufactured in an FDA-approved, Good Manufacturing Practises (GMP)-certified facility.</li> <li>The time and money saved by not having to visit the doctor or dermatologist frequently is significant.</li> <li>You can save a lot of money by choosing this non-invasive procedure over more expensive surgery.</li> </ul> <h2 style="text-align: center;"><span style="background-color: #993300; color: white;"><a style="background-color: #993300; color: white;" href="https://www.healthsupplement24x7.com/get-rejuva-skin-tag-remover"><strong>➦➦Visit the Official Website Today and Grab Your Rejuva Tag Skin Tag Remover!</strong></a></span></h2> <h2 style="text-align: justify;"><strong>Cons of Rejuva Tag Skin Tag Remover:</strong></h2> <ul style="text-align: justify;"> <li style="text-align: justify;">It's hard to get your hands on; the only place to get it is online.</li> <li style="text-align: justify;">Consult a dermatologist before using Rejuva Skin Tag Remover if you have sensitive skin.</li> <li style="text-align: justify;">The product is only available in limited quantities outside of the US.</li> <li style="text-align: justify;">Because of the rise of online retail, shipping times could lengthen.</li> </ul> <h2 style="text-align: justify;"><strong>What is the usage of Rejuva Tag Skin Tag Remover?</strong></h2> <p style="text-align: justify;">You can apply a tiny amount of&nbsp;Rejuva Tag Skin Tag Remover to the skin tag-affected region.After being used, it will continue to work and produce quick results in a short order.Apply the tag removal cream gently to the skin to maximize its effectiveness.Depending on the kind and severity of your skin blemish, you can anticipate effects to appear after a few hours and to last for two to three weeks.After using skin tag remover, wait at least five to six hours before cleaning the area. Use this dosage for at least two months to get the most satisfying outcomes.It permanently removes common skin obstacles and soothes it in natural ways.Also read the label to know its correct usage.</p> <h2 style="text-align: justify;"><strong>Detailed pricing &amp; money back gurantee on Rejuva Tag Skin Tag Remover.</strong></h2> <h2 style="text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://www.healthsupplement24x7.com/get-rejuva-skin-tag-remover"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEio6CVVHKYKLH2j6UhaYqi3I25hMlMlAPwrDVgSX9LjqzMKIq6oymSwaYjYkvIAFkjuwunP6GNvez7yynJ9NQspbTuwFy-4Iv15hz8wuuANDSOhz2ob0e5A4rQj9j1hO59-KBXRiVzUGwaWkswqDvqU1BMMeEo9ydYRY_RkveOd8INFmvBlOe4JGBFN22w/w634-h640/Screenshot%20(546).png" alt="" width="634" height="640" border="0" data-original-height="870" data-original-width="862" /></a><strong> <br /></strong></h2> <ul style="text-align: justify;"> <li><strong>Buy one bottle of Rejuva Tag Skin Tag Remover $64.95 + Get one bottle free + Free US shipping.</strong></li> <li><strong>Buy Two bottles of Rejuva Tag Skin Tag Remover $53.33 + Get Two bottles free + Free US shipping.</strong></li> <li><strong>Buy Three bottles of Rejuva Tag Skin Tag Remover $39.99 + Get Three bottles free + Free US shipping.</strong></li> </ul> <h2 style="text-align: center;"><span style="background-color: #993300; color: white;"><a style="background-color: #993300; color: white;" href="https://www.healthsupplement24x7.com/get-rejuva-skin-tag-remover"><strong>➦➦Get your Rejuva Tag Skin Tag Remover Here &amp; Get Great Discount!</strong></a></span></h2> <h3 style="text-align: justify;"><strong>Money back gurantee-</strong></h3> <p style="text-align: justify;">We are so confident in our products and services, that we back it with a 30 day money back guarantee. If for any reason you are not fully satisfied with our products, simply return the purchased products in the original container within 30 days of when you received your order. We will refund you 100% of the purchase price - with absolutely no hassle.</p> <h2 style="text-align: justify;"><strong>Are there any negative side effects of using Rejuva Tag Skin Tag Remover ?</strong></h2> <p style="text-align: justify;">Through rigorous testing, we've found that utilizing Rejuva Tag Skin Tag Remover has no negative effects on even the most sensitive skin types. Numerous consumers, especially those with more delicate skin or darker complexions, have praised its exceptional efficacy.We took every precaution before releasing this product to the public, as we value the health and safety of our consumers above all else. Testimonials from people who have used Rejuva Tag Skin Tag Remover say that after just three days of regular use, the product visibly improves the look of their skin and makes it look younger.</p> <h2 style="text-align: justify;"><strong>Final words on Rejuva Tag Skin Tag Remover.</strong></h2> <p style="text-align: justify;">In conclusion,&nbsp;Rejuva Tag Skin Tag Remover offers a safe and effective way to improve the appearance of the skin and alleviate discomfort caused by skin tags. While there are some potential drawbacks, such as the risk of scarring and the cost of the procedure, the benefits generally outweigh the risks. Patients should consult with a qualified healthcare professional to determine the best approach for their individual needs and take steps to prevent skin tag growth in the future, such as maintaining a healthy weight and avoiding tight-fitting clothing. Ultimately, skin tag removal can be a worthwhile investment in one's overall health and well-being.</p> <h2 style="text-align: center;"><span style="background-color: #993300; color: white;"><a style="background-color: #993300; color: white;" href="https://www.healthsupplement24x7.com/get-rejuva-skin-tag-remover"><strong>➦➦Just Click Here To Visit the Official Website &amp; Buy Rejuva Tag Skin Tag Remover!</strong></a></span></h2> <p><a href="https://alldayslimmingteanews.blogspot.com/2023/09/rejuva-tag-skin-tag-remover.html">https://alldayslimmingteanews.blogspot.com/2023/09/rejuva-tag-skin-tag-remover.html</a></p> <p><a href="https://rejuva-skin-tag-remover.blogspot.com/2023/09/rejuva-tag-skin-tag-remover.html">https://rejuva-skin-tag-remover.blogspot.com/2023/09/rejuva-tag-skin-tag-remover.html</a></p> <p><a href="https://sites.google.com/view/rejuva-tag-skin-tagremover/home">https://sites.google.com/view/rejuva-tag-skin-tagremover/home</a></p> <p><a href="https://lookerstudio.google.com/reporting/e8ceb6bd-60fc-439c-97af-c43075b063d9">https://lookerstudio.google.com/reporting/e8ceb6bd-60fc-439c-97af-c43075b063d9</a></p> <p><a href="https://colab.research.google.com/drive/1QQ6li9bsyRKOZ788UOXEwqDf6l0ANEYI">https://colab.research.google.com/drive/1QQ6li9bsyRKOZ788UOXEwqDf6l0ANEYI</a></p> <p><a href="https://groups.google.com/g/rejuva-tag-skin-tag-remover/c/0UkLi6bzTbw">https://groups.google.com/g/rejuva-tag-skin-tag-remover/c/0UkLi6bzTbw</a></p> <p><a href="https://rejuva-updates.clubeo.com">https://rejuva-updates.clubeo.com</a></p>
PhenyX9/dreamscapecolab
2023-09-07T07:28:05.000Z
[ "region:us" ]
PhenyX9
null
null
null
0
0
Entry not found
GaganpreetSingh/BlockTechBrew1
2023-09-07T06:51:28.000Z
[ "region:us" ]
GaganpreetSingh
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 9276 num_examples: 34 download_size: 6874 dataset_size: 9276 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "BlockTechBrew1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
gemgem104/test
2023-09-07T07:09:27.000Z
[ "license:other", "region:us" ]
gemgem104
null
null
null
0
0
--- license: other ---
Tverous/test
2023-09-07T07:16:16.000Z
[ "region:us" ]
Tverous
null
null
null
0
0
--- dataset_info: features: - name: uid dtype: string - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: int64 - name: hyp_amr dtype: string - name: hyp_linearized_amr dtype: string splits: - name: train num_bytes: 5344233 num_examples: 14740 download_size: 1790710 dataset_size: 5344233 --- # Dataset Card for "test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
yuekai/aishell_icefall_fbank
2023-09-07T07:35:36.000Z
[ "region:us" ]
yuekai
null
null
null
0
0
Entry not found
rkshukla/RA-llama2
2023-09-07T08:03:12.000Z
[ "region:us" ]
rkshukla
null
null
null
0
0
Zayt/extracted-vi-wiki-20230820
2023-09-07T07:53:50.000Z
[ "region:us" ]
Zayt
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: url dtype: string - name: title dtype: string - name: text dtype: string splits: - name: train num_bytes: 492261222.63576823 num_examples: 395032 download_size: 663150112 dataset_size: 492261222.63576823 --- # Dataset Card for "extracted-vi-wiki-20230820" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
SoranBD/KuQuad
2023-09-07T07:43:02.000Z
[ "region:us" ]
SoranBD
null
null
null
0
0
Entry not found
presencesw/c4_shorter
2023-09-10T17:53:34.000Z
[ "region:us" ]
presencesw
null
null
null
0
0
Entry not found
talentlabs/training-data-blog-writer_v07-09-2023
2023-09-07T14:24:12.000Z
[ "region:us" ]
talentlabs
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: title dtype: string - name: article dtype: string - name: text dtype: string splits: - name: train num_bytes: 55278246 num_examples: 10168 download_size: 33182348 dataset_size: 55278246 --- # Dataset Card for "training-data-blog-writer_v07-09-2023" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
linhqyy/data_LM
2023-09-07T08:00:03.000Z
[ "region:us" ]
linhqyy
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 476921 num_examples: 7477 download_size: 204521 dataset_size: 476921 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "data_LM" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
quocanh34/test_synthesis_data_with_sentence_align
2023-09-07T08:01:57.000Z
[ "region:us" ]
quocanh34
null
null
null
0
0
--- dataset_info: features: - name: id dtype: string - name: sentence dtype: string - name: intent dtype: string - name: sentence_annotation dtype: string - name: entities list: - name: type dtype: string - name: filler dtype: string - name: file dtype: string - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: origin_transcription dtype: string - name: sentence_norm dtype: string - name: w2v2_large_transcription dtype: string - name: wer dtype: int64 - name: entities_norm list: - name: filler dtype: string - name: type dtype: string - name: sentence_align list: - name: d dtype: string - name: idx dtype: int64 - name: x0 dtype: int64 - name: x1 dtype: int64 - name: entities_align dtype: string splits: - name: train num_bytes: 8022312.0 num_examples: 16 download_size: 1832563 dataset_size: 8022312.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "test_synthesis_data_with_sentence_align" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
PetagonG/BTopic_1
2023-09-07T08:31:04.000Z
[ "region:us" ]
PetagonG
null
null
null
0
0
Entry not found
timelessbeautyskinserumpick/TimelessBeautySerum
2023-09-07T08:08:42.000Z
[ "region:us" ]
timelessbeautyskinserumpick
null
null
null
0
0
In the ever-evolving world of skincare, where trends come and go like the seasons, one thing remains constant—our quest for timeless beauty. As we navigate the beauty industry's vast landscape, the [Timeless Beauty Skin Serum](https://groups.google.com/g/timeless-beauty-serum-pick/c/6dat6lXwseg) emerges as a true gem, promising not just youthful skin but a transformation that transcends time. In this comprehensive guide, we delve deep into the world of Timeless Beauty Skin Serum, unraveling its secrets, benefits, and why it deserves a prime spot in your skincare regimen. **[Click Here To Shop Timeless Beauty Serum From Official Website](https://www.glitco.com/get-timeless-beauty-serum)** **[Click Here To Shop Timeless Beauty Serum From Official Website](https://www.glitco.com/get-timeless-beauty-serum)** **[Click Here To Shop Timeless Beauty Serum From Official Website](https://www.glitco.com/get-timeless-beauty-serum)** ### What Is [Timeless Beauty Skin Serum](https://lookerstudio.google.com/reporting/2fa24fc0-2b84-41df-a6a9-c2b00a3fca28/page/9xxbD)? [Timeless Beauty Skin Serum](https://sites.google.com/view/timeless-beauty-serum-pick/home) is more than just another skincare product; it's a revolution in a bottle. Crafted with the utmost precision and infused with cutting-edge ingredients, this serum is designed to provide your skin with the care it deserves. At its core, it's a potent blend of vitamins, antioxidants, and hydrating agents, all meticulously chosen to address various skin concerns. **[![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxhZ-vX-YirZXVPu_42DNhAPvkvqT5fekJ3JxldpwHhiq1Du-2imNXMDJfAq8M2bqvMBYL7c1wju-VT2SDZhPFn1JJWE6oPJ2ERx66XqRTv674zz8Q8JWITAcf-RltgLGmHVDnI0BwTX_TSCPKASIVG-K605Knm0DRgQsSv2oci2YsVuYbF9xJlrRbY4U/w640-h444/Screenshot%20(1107).png)](https://www.glitco.com/get-timeless-beauty-serum)** ### The Science Behind Timeless Beauty Skin Serum Behind every exceptional skincare product lies a scientific masterpiece, and Timeless Beauty Skin Serum is no exception. This serum boasts a powerhouse formula that includes hyaluronic acid, retinol, vitamin C, and peptides, each with its unique role in enhancing your skin's vitality. * **Hyaluronic Acid**: This super-hydrator holds up to 1000 times its weight in water, ensuring your skin stays plump, supple, and well-hydrated. It aids in reducing fine lines and wrinkles, making your skin appear smoother and more youthful. * **Retinol**: The gold standard in anti-aging, retinol stimulates collagen production, evens out skin tone, and minimizes the appearance of pores. It's your go-to ingredient for a rejuvenated complexion. * **Vitamin C**: This powerful antioxidant combats free radicals, brightens skin, and reduces the signs of sun damage. It leaves your skin looking radiant and refreshed. * **Peptides**: These little wonders promote collagen production, helping to improve skin elasticity and firmness. Say goodbye to sagging skin! The Benefits of Using [Timeless Beauty Skin Serum](https://colab.research.google.com/drive/1uvja8lQOllt09yP56eqqAvnTq53wH5Vw#scrollTo=UFjxdkLfDgBm) --------------------------------------------------------------------------------------------------------------------------------------------------- ### Age-Defying Elixir **[Timeless Beauty Skin Serum](https://timeless-beauty-skin-serum.blogspot.com/2023/09/timeless-beauty-serum-ageless-allure.html)** is your ally in the fight against aging. With consistent use, you can expect to see a noticeable reduction in fine lines and wrinkles. The powerful combination of ingredients works synergistically to boost collagen production, leaving your skin firmer, smoother, and more youthful. ### Hydration Galore Say goodbye to dry, flaky skin. Thanks to the hyaluronic acid in Timeless Beauty Skin Serum, your skin will stay hydrated and plump throughout the day. No more worrying about that uncomfortable tight feeling. ### Radiant Complexion Vitamin C in the serum not only brightens your skin but also helps fade dark spots and acne scars. The result? A radiant, even-toned complexion that you'll be proud to show off. ### Bye-Bye Pores Enlarged pores can be a real confidence killer, but Timeless Beauty Skin Serum's retinol content can help minimize their appearance, giving you smoother and more refined skin. How to Incorporate [Timeless Beauty Skin Serum](https://www.facebook.com/groups/860593642305254) into Your Routine ------------------------------------------------------------------------------------------------------------------ ### Step 1: Cleansing Start with a clean canvas. Use a gentle cleanser to remove dirt, makeup, and impurities from your face. Pat your skin dry with a soft towel. ### Step 2: Application Take a pea-sized amount of Timeless Beauty Skin Serum and apply it evenly to your face and neck. Gently massage it into your skin using upward strokes. ### Step 3: Moisturize After the serum has absorbed, follow up with your favorite moisturizer. This step locks in the serum's benefits and ensures your skin stays hydrated. ### Step 4: Sunscreen Never skip sunscreen. Apply a broad-spectrum SPF to protect your skin from UV damage. This is especially important when using retinol. ### Step 5: Nighttime Routine If you're using Timeless Beauty Skin Serum in the evening, make sure to cleanse, apply the serum, and moisturize before bedtime. Real Results, Real Confidence ----------------------------- The proof of **[Timeless Beauty Skin Serum](https://www.facebook.com/people/Timeless-Beauty-Serum-Review/61550686246706/)**'s efficacy lies in the real-life experiences of countless individuals who have embraced this elixir of youth. Their glowing testimonials and before-and-after photos speak volumes about the transformation this serum can deliver. **[![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxhZ-vX-YirZXVPu_42DNhAPvkvqT5fekJ3JxldpwHhiq1Du-2imNXMDJfAq8M2bqvMBYL7c1wju-VT2SDZhPFn1JJWE6oPJ2ERx66XqRTv674zz8Q8JWITAcf-RltgLGmHVDnI0BwTX_TSCPKASIVG-K605Knm0DRgQsSv2oci2YsVuYbF9xJlrRbY4U/w640-h444/Screenshot%20(1107).png)](https://www.glitco.com/get-timeless-beauty-serum)** Conclusion ---------- In the quest for timeless beauty, **[Timeless Beauty Skin Serum](https://in.pinterest.com/pin/904168062672049623)** emerges as a frontrunner, offering a scientifically-backed solution to various skincare concerns. With its potent blend of ingredients, it's not just a skincare product; it's an investment in your skin's health and radiance. Say hello to firmer, smoother, and more youthful skin with Timeless Beauty Skin Serum. **[Click Here To Shop Timeless Beauty Serum From Official Website](https://www.glitco.com/get-timeless-beauty-serum)** **[Click Here To Shop Timeless Beauty Serum From Official Website](https://www.glitco.com/get-timeless-beauty-serum)** **[Click Here To Shop Timeless Beauty Serum From Official Website](https://www.glitco.com/get-timeless-beauty-serum)** If you're ready to embark on a journey towards radiant skin, Timeless Beauty Skin Serum is your trusty companion. Embrace the power of science, and let your skin glow with the timeless beauty it deserves.
wofeishenling/train_mosei
2023-09-09T16:00:08.000Z
[ "region:us" ]
wofeishenling
null
null
null
0
0
--- dataset_info: features: - name: transcription dtype: string - name: speech sequence: float32 - name: labels dtype: int64 splits: - name: train num_bytes: 4703416126 num_examples: 16326 download_size: 2332545262 dataset_size: 4703416126 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "train_mosei" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
wofeishenling/test_mosei
2023-09-09T16:00:38.000Z
[ "region:us" ]
wofeishenling
null
null
null
0
0
--- dataset_info: features: - name: transcription dtype: string - name: speech sequence: float32 - name: labels dtype: int64 splits: - name: train num_bytes: 1358094392 num_examples: 4659 download_size: 671461302 dataset_size: 1358094392 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "test_mosei" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Timing1/pix2pix.depth2img
2023-09-07T08:25:43.000Z
[ "region:us" ]
Timing1
null
null
null
0
0
Entry not found
MESCnn/MESCnn-Sample-Data
2023-09-07T13:54:56.000Z
[ "region:us" ]
MESCnn
null
null
null
0
0
Entry not found
qgyd2021/lip_service_4chan
2023-09-27T01:25:08.000Z
[ "task_categories:question-answering", "size_categories:10M<n<100M", "language:zh", "license:cc-by-4.0", "art", "region:us" ]
qgyd2021
null
@dataset{lip_service_4chan, author = {Xing Tian}, title = {lip_service_4chan}, month = sep, year = 2023, publisher = {Xing Tian}, version = {1.0}, }
null
0
0
--- task_categories: - question-answering language: - zh tags: - art pretty_name: lip_service size_categories: - 10M<n<100M license: cc-by-4.0 --- ## Lip Service 满嘴芬芳 ### 数据来源 基于网站 [吵架对线陪练员](https://aibang.run/chat/sb) 的服务. 我们采用 [moss-003-sft-data](https://github.com/OpenLMLab/MOSS) 对话数据中的提问做 prompt, 然后调用 [吵架对线陪练员](https://aibang.run/chat/sb) 来获得答案. 实际使用的 moss-003-sft-data 数据来源于 [YeungNLP/moss-003-sft-data](https://huggingface.co/datasets/YeungNLP/moss-003-sft-data)
PetagonG/TopicTree
2023-09-07T09:13:29.000Z
[ "license:afl-3.0", "region:us" ]
PetagonG
null
null
null
0
0
--- license: afl-3.0 ---
ganagnna/kkk
2023-09-07T09:01:28.000Z
[ "region:us" ]
ganagnna
null
null
null
0
0
Entry not found
albertvillanova/yaml-no
2023-09-07T09:10:31.000Z
[ "license:apache-2.0", "no", "region:us" ]
albertvillanova
null
null
null
0
0
--- license: apache-2.0 tags: - no - 'no' - "no" ---
stevenc7/sdft_lr2hr
2023-09-07T13:12:00.000Z
[ "license:apache-2.0", "region:us" ]
stevenc7
null
null
null
0
0
--- license: apache-2.0 dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 73545.0 num_examples: 5 download_size: 75595 dataset_size: 73545.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
bernardo-de-almeida/NucleotideTransformer_interpretation
2023-09-07T09:46:19.000Z
[ "region:us" ]
bernardo-de-almeida
null
null
null
0
0
Entry not found
quocanh34/synthesis_data_v1
2023-09-07T09:46:36.000Z
[ "region:us" ]
quocanh34
null
null
null
0
0
--- dataset_info: features: - name: audio struct: - name: array sequence: float64 - name: path dtype: 'null' - name: sampling_rate dtype: int64 - name: transcription dtype: string - name: idx dtype: int64 splits: - name: train num_bytes: 1212488387 num_examples: 2594 download_size: 285097019 dataset_size: 1212488387 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "synthesis_data_v1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tscai/moby
2023-09-07T09:49:07.000Z
[ "region:us" ]
tscai
null
null
null
0
0
Entry not found
JMYasir/trReviews-ds-mini
2023-09-08T06:57:16.000Z
[ "region:us" ]
JMYasir
null
null
null
0
0
--- dataset_info: features: - name: review dtype: string - name: review_length dtype: int64 splits: - name: train num_bytes: 1252876.2642514652 num_examples: 3378 - name: validation num_bytes: 139455.7357485349 num_examples: 376 download_size: 0 dataset_size: 1392332.0 --- # Dataset Card for "trReviews-ds-mini" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
spignelon/bash_history
2023-09-07T09:58:20.000Z
[ "license:mit", "region:us" ]
spignelon
null
null
null
1
0
--- license: mit ---