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BigSuperbPrivate/HowFarAreYou_3DSpeakerTrain
2023-08-23T00:22:54.000Z
[ "region:us" ]
BigSuperbPrivate
null
null
null
0
0
--- dataset_info: features: - name: file dtype: string - name: audio dtype: audio - name: label dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 1999470432.1925142 num_examples: 4284 - name: validation num_bytes: 216314162.76748583 num_examples: 477 download_size: 2048624215 dataset_size: 2215784594.96 --- # Dataset Card for "HowFarAreYou_3DSpeakerTrain" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
DataProvenanceInitiative/Commercial-Flan-Collection-Chain-Of-Thought
2023-08-23T00:07:44.000Z
[ "region:us" ]
DataProvenanceInitiative
null
null
null
0
0
Entry not found
ShantaSharma/IPC
2023-08-23T00:14:25.000Z
[ "region:us" ]
ShantaSharma
null
null
null
0
0
Entry not found
fuzhao/Books
2023-08-23T17:11:42.000Z
[ "region:us" ]
fuzhao
null
null
null
0
0
Entry not found
ShantaSharma/IPC_code
2023-08-23T00:24:50.000Z
[ "region:us" ]
ShantaSharma
null
null
null
0
0
Entry not found
donggook/tttt
2023-08-23T00:43:33.000Z
[ "language:ko", "region:us" ]
donggook
null
null
null
0
0
--- language: - ko dataset_info: features: - name: symbol dtype: string - name: name dtype: string - name: last dtype: string - name: change dtype: string - name: volume dtype: string - name: type dtype: string - name: region dtype: string ---
artificialmentes/modelos_criados
2023-08-29T19:55:59.000Z
[ "region:us" ]
artificialmentes
null
null
null
0
0
Entry not found
yowebene63/yowebene63
2023-08-26T07:41:15.000Z
[ "region:us" ]
yowebene63
null
null
null
0
0
Entry not found
diplomado2023/calzados2
2023-08-23T02:09:50.000Z
[ "license:apache-2.0", "region:us" ]
diplomado2023
null
null
null
0
0
--- license: apache-2.0 ---
gmenon/slt-lyrics-audio
2023-08-23T01:31:40.000Z
[ "region:us" ]
gmenon
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: eval path: data/eval-* dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string splits: - name: train num_bytes: 5522199699.224 num_examples: 9538 - name: eval num_bytes: 299870166.0 num_examples: 507 download_size: 5411106600 dataset_size: 5822069865.224 --- # Dataset Card for "slt-lyrics-audio" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
eunyounglee/rm-data-test-1
2023-08-23T01:34:18.000Z
[ "region:us" ]
eunyounglee
null
null
null
0
0
Entry not found
NathanNeves/diversevulns
2023-08-23T01:47:33.000Z
[ "region:us" ]
NathanNeves
null
null
null
0
0
Entry not found
fytyr5657/sangkunyy1
2023-08-23T01:50:13.000Z
[ "license:bigcode-openrail-m", "region:us" ]
fytyr5657
null
null
null
0
0
--- license: bigcode-openrail-m ---
fytyr5657/sangkunyy2
2023-08-23T01:50:14.000Z
[ "region:us" ]
fytyr5657
null
null
null
0
0
Entry not found
fytyr5657/sangkunyy3
2023-08-23T01:50:15.000Z
[ "region:us" ]
fytyr5657
null
null
null
0
0
Entry not found
fytyr5657/sangkunyy4
2023-08-23T01:50:22.000Z
[ "region:us" ]
fytyr5657
null
null
null
0
0
Entry not found
fytyr5657/sangkunyy5
2023-08-23T01:50:12.000Z
[ "region:us" ]
fytyr5657
null
null
null
0
0
Entry not found
Rounak28/bengaliAI-medium-cleaned-50k
2023-08-23T02:10:43.000Z
[ "region:us" ]
Rounak28
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: id dtype: string - name: sentence dtype: string - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: train num_bytes: 47822272173.505 num_examples: 49750 - name: test num_bytes: 240312925.495 num_examples: 250 download_size: 6967284318 dataset_size: 48062585099.0 --- # Dataset Card for "bengaliAI-medium-cleaned-50k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
NexaAI/cosmetics_image
2023-08-23T02:15:49.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
ewof/hh-rlhf-instruct-unfiltered-deduped
2023-08-23T03:55:13.000Z
[ "size_categories:1K<n<10K", "language:en", "region:us" ]
ewof
null
null
null
0
0
--- language: - en size_categories: - 1K<n<10K --- This dataset is Anthropic/hh-rlhf unfiltered and deduped, removing 18170 instances of blatant alignment and 51954 duplicates. 99228 instructions remain. i downloaded all the data (except red team) from https://huggingface.co/datasets/Anthropic/hh-rlhf/tree/09be8c5bbc57cb3887f3a9732ad6aa7ec602a1fa unarchived it merged it all into one file then ran clean.py and then ran dedupe.py to get the resulting file inspired by https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py, I then took this script and adapted it to clean.py
thisisHJLee/rlhf_sft_B2
2023-08-23T02:38:03.000Z
[ "region:us" ]
thisisHJLee
null
null
null
0
0
Entry not found
obatmigren12/bareto
2023-08-23T02:57:11.000Z
[ "region:us" ]
obatmigren12
null
null
null
0
0
Entry not found
TOPELEVEN/TOP
2023-08-23T03:04:49.000Z
[ "region:us" ]
TOPELEVEN
null
null
null
0
0
Entry not found
zyy111/aihuihua
2023-08-23T03:07:48.000Z
[ "license:openrail", "region:us" ]
zyy111
null
null
null
0
0
--- license: openrail ---
MANUELGAMBA/KLIKkKk
2023-08-23T03:12:36.000Z
[ "region:us" ]
MANUELGAMBA
null
null
null
0
0
Entry not found
yycho0108/pkm-dgn-dyn
2023-08-23T04:57:59.000Z
[ "region:us" ]
yycho0108
null
null
null
0
0
Entry not found
hipete12/anime-models
2023-08-28T18:14:34.000Z
[ "region:us" ]
hipete12
null
null
null
0
0
Entry not found
ziq/rsna-atd
2023-08-29T03:01:10.000Z
[ "license:mit", "region:us" ]
ziq
The dataset is the processed version of Kaggle Competition: RSNA 2023 Abdominal Trauma Detection. It comprises of segmentation of 205 series of CT scans with 5 classes (liver, spleen, right_kidney, left_kidney, bowel).
@InProceedings{huggingface:dataset, title = {rsna-atd}, author = {Yeow Zi Qin}, year = {2023} }
null
0
0
--- license: mit ---
OpenDriveLab/DriveLM
2023-09-02T07:31:17.000Z
[ "license:cc-by-nc-sa-4.0", "region:us" ]
OpenDriveLab
null
null
null
8
0
--- license: cc-by-nc-sa-4.0 viewer: false --- # DriveLM Dataset for Perception, Prediction, Planning (P3) and Logic Welcome to the DriveLM Dataset, the first of its kind to facilitate P3 and logic. Our project's GitHub repository can be found at [https://github.com/OpenDriveLab/DriveLM](https://github.com/OpenDriveLab/DriveLM). ## Demo Dataset Our demo dataset consists of a collection of questions and answers from six scenes, containing a total of 15 key frames. The dataset is provided in two versions: - `v1_0_train_demo.json`: In this file, questions and answers are not augmented using GPT-3.5/4.0. The answers tend to follow relatively fixed patterns, resulting in straightforward and less diverse responses. - `gpt_augmented_v1_0_train_demo.json`: Unlike the previous file, questions and answers in this version have been augmented using GPT. This optimization enhances the diversity of Q&A pairs. Consequently, responses are not limited to simple and direct Q&A, but may include richer expressions and content. ## Usage 1. Download the nuScenes V1.0 full dataset and CAN bus expansion data from [Here](https://www.nuscenes.org/download). 2. Follow the steps outlined in [Here](https://github.com/fundamentalvision/BEVFormer/blob/master/docs/prepare_dataset.md) to prepare the nuScenes dataset. This process will generate `nuscenes_infos_temporal_{train,val}.pkl`. 3. Download the provided dataset and organize it as follows: ``` DriveLM β”œβ”€β”€ data/ β”‚ β”œβ”€β”€ QA_dataset/ β”‚ β”‚ β”œβ”€β”€ train.json β”‚ β”‚ β”œβ”€β”€ val.json β”‚ β”œβ”€β”€ nuscenes/ β”‚ β”‚ β”œβ”€β”€ maps/ β”‚ β”‚ β”œβ”€β”€ samples/ β”‚ β”‚ β”œβ”€β”€ sweeps/ β”‚ β”‚ β”œβ”€β”€ v1.0-test/ | | β”œβ”€β”€ v1.0-trainval/ | | β”œβ”€β”€ nuscenes_infos_temporal_train.pkl | | β”œβ”€β”€ nuscenes_infos_temporal_val.pkl ``` ## License and Citation This language dataset is licensed under [CC-BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). If you use this dataset, please cite our work: ```BibTeX @misc{drivelm2023, title={DriveLM: Drive on Language}, author={DriveLM Contributors}, howpublished={\url{https://github.com/OpenDriveLab/DriveLM}}, year={2023} } ``` For more information and updates, please visit our [GitHub repository](https://github.com/OpenDriveLab/DriveLM).
diplomado2023/calzados3
2023-08-23T03:51:57.000Z
[ "license:apache-2.0", "region:us" ]
diplomado2023
null
null
null
0
0
--- license: apache-2.0 ---
MagicHub/sample_result_of_claude
2023-08-23T09:01:42.000Z
[ "license:cc-by-4.0", "region:us" ]
MagicHub
null
null
null
0
0
--- license: cc-by-4.0 ---
juliojfdghdg/oioio
2023-08-23T03:27:50.000Z
[ "license:openrail", "region:us" ]
juliojfdghdg
null
null
null
0
0
--- license: openrail ---
custom-diffusion-library/customconcept101-customdiffusion
2023-08-23T03:32:24.000Z
[ "license:cc-by-4.0", "region:us" ]
custom-diffusion-library
null
null
null
0
0
--- license: cc-by-4.0 ---
17agustus/irsoekarno
2023-08-23T03:40:15.000Z
[ "region:us" ]
17agustus
null
null
null
0
0
Entry not found
NexaAI/Cosmetics
2023-08-24T10:08:27.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 4009237.0 num_examples: 1 download_size: 4010161 dataset_size: 4009237.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "Cosmetics" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
hipete12/anime-image
2023-10-01T02:57:08.000Z
[ "region:us" ]
hipete12
null
null
null
0
0
Entry not found
nath720/microso
2023-09-01T18:22:18.000Z
[ "license:openrail", "region:us" ]
nath720
null
null
null
0
0
--- license: openrail ---
chargoddard/commitpack-ft-instruct-rated
2023-08-23T09:05:10.000Z
[ "size_categories:100K<n<1M", "language:en", "code", "region:us" ]
chargoddard
null
null
null
0
0
--- dataset_info: - config_name: adequately_rated features: - name: id dtype: string - name: rating struct: - name: analysis dtype: string - name: judge dtype: string - name: score dtype: int64 - name: language dtype: string - name: license dtype: string - name: instruction dtype: string - name: output dtype: string - name: input dtype: string splits: - name: train num_bytes: 502380874.99241877 num_examples: 231589 download_size: 233165301 dataset_size: 502380874.99241877 - config_name: best_rated features: - name: id dtype: string - name: rating struct: - name: analysis dtype: string - name: judge dtype: string - name: score dtype: int64 - name: language dtype: string - name: license dtype: string - name: instruction dtype: string - name: output dtype: string - name: input dtype: string splits: - name: train num_bytes: 7807230.779949458 num_examples: 3599 download_size: 3443289 dataset_size: 7807230.779949458 - config_name: default features: - name: id dtype: string - name: rating struct: - name: analysis dtype: string - name: judge dtype: string - name: score dtype: int64 - name: language dtype: string - name: license dtype: string - name: instruction dtype: string - name: output dtype: string - name: input dtype: string splits: - name: train num_bytes: 668703742 num_examples: 308261 download_size: 306198304 dataset_size: 668703742 - config_name: ratings_only features: - name: success dtype: bool - name: score dtype: int64 - name: response dtype: string - name: id dtype: string splits: - name: train num_bytes: 124887856 num_examples: 308261 download_size: 58208563 dataset_size: 124887856 - config_name: worst_rated features: - name: id dtype: string - name: rating struct: - name: analysis dtype: string - name: judge dtype: string - name: score dtype: int64 - name: language dtype: string - name: license dtype: string - name: instruction dtype: string - name: output dtype: string - name: input dtype: string splits: - name: train num_bytes: 10393009.91018001 num_examples: 4791 download_size: 4676994 dataset_size: 10393009.91018001 configs: - config_name: adequately_rated data_files: - split: train path: adequately_rated/train-* - config_name: best_rated data_files: - split: train path: best_rated/train-* - config_name: default data_files: - split: train path: data/train-* - config_name: ratings_only data_files: - split: train path: ratings_only/train-* - config_name: worst_rated data_files: - split: train path: worst_rated/train-* language: - en tags: - code size_categories: - 100K<n<1M --- This is [commitpack-ft-instruct](https://huggingface.co/datasets/chargoddard/commitpack-ft-instruct), derived from Octocode's [CommitPackFT](https://huggingface.co/datasets/bigcode/commitpackft), augmented with a quality analysis of the instruction-response pair by a local model. This did a pretty decent job of identifying pairs that obviously don't have enough context to know what change is being requested, or where the commit message does not match with the changes made. Data files (yaml, plain text, json, etc.) were heavily downsampled in preparing this dataset to skew it more towards actual code work. All entries should fit in a 4096 token context window, depending on the prompt format. Language composition for the default configuration: | Language | Instructions | Percent of Instructions | | --- | --- | --- | | Ruby | 69412 | 14.13% | | Python | 56024 | 11.41% | | JavaScript | 52989 | 10.79% | | PHP | 24791 | 5.05% | | YAML | 21764 | 4.43% | | Java | 20635 | 4.2% | | Markdown | 11950 | 2.43% | | C# | 9346 | 1.9% | | C | 8506 | 1.73% | | JSON | 7616 | 1.55% | | TypeScript | 5868 | 1.19% | | C++ | 4992 | 1.02% | | Swift | 4849 | 0.99% | | Rust | 2996 | 0.61% | | XML | 1766 | 0.36% | | Haskell | 1389 | 0.28% | | Emacs Lisp | 1015 | 0.21% | | Common Lisp | 778 | 0.16% | | Erlang | 480 | 0.1% | | OCaml | 333 | 0.07% | | Smalltalk | 284 | 0.06% | | Ada | 265 | 0.05% | | Scheme | 213 | 0.04% | All credit to the original authors of the code and the team behind OctoPack. ### Licensing Information Each sample comes from a code repository with a permissive license. The license is provided by the `license` field for each sample. ### Citation Information ```bibtex @article{muennighoff2023octopack, title={OctoPack: Instruction Tuning Code Large Language Models}, author={Niklas Muennighoff and Qian Liu and Armel Zebaze and Qinkai Zheng and Binyuan Hui and Terry Yue Zhuo and Swayam Singh and Xiangru Tang and Leandro von Werra and Shayne Longpre}, journal={arXiv preprint arXiv:2308.07124}, year={2023} } ```
Cyleux/jobDescToApiStateMachine
2023-08-23T08:40:27.000Z
[ "region:us" ]
Cyleux
null
null
null
0
0
Entry not found
corbt/labeled-recipes
2023-08-23T23:43:23.000Z
[ "region:us" ]
corbt
null
null
null
0
0
--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 3833393.4 num_examples: 4500 - name: test num_bytes: 425932.6 num_examples: 500 download_size: 0 dataset_size: 4259326.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* --- # Dataset Card for "labeled-recipes" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
thisisHJLee/rlhf_reward_data
2023-08-23T04:54:42.000Z
[ "license:apache-2.0", "region:us" ]
thisisHJLee
null
null
null
0
0
--- license: apache-2.0 ---
gwj/bannite
2023-08-23T04:57:14.000Z
[ "region:us" ]
gwj
null
null
null
0
0
Entry not found
thanhnew2001/lit6-10k
2023-08-23T04:56:34.000Z
[ "region:us" ]
thanhnew2001
null
null
null
0
0
Entry not found
DonMischo/Billions_of_Wildcards
2023-08-24T11:26:12.000Z
[ "license:gpl-3.0", "region:us" ]
DonMischo
null
null
null
0
0
--- license: gpl-3.0 --- Uploaded in Github: https://github.com/DonMischo/Billions-of-Wildcards-for-Stable-Diffusion
jack008/TTR
2023-08-23T05:56:16.000Z
[ "license:unknown", "region:us" ]
jack008
null
null
null
0
0
--- license: unknown ---
armadagilang/shoot
2023-08-23T07:18:36.000Z
[ "region:us" ]
armadagilang
null
null
null
0
0
Entry not found
TaylorAI/pubmed_author_manuscripts
2023-08-23T10:25:51.000Z
[ "region:us" ]
TaylorAI
null
null
null
3
0
Entry not found
TaylorAI/pubmed_other
2023-08-23T10:25:50.000Z
[ "region:us" ]
TaylorAI
null
null
null
3
0
Entry not found
yorius96/manga_book_classifier
2023-08-23T05:36:00.000Z
[ "license:apache-2.0", "region:us" ]
yorius96
null
null
null
0
0
--- license: apache-2.0 ---
Viswa123/sql_context
2023-08-23T06:06:18.000Z
[ "region:us" ]
Viswa123
null
null
null
0
0
Entry not found
yzhuang/autotree_automl_pol_gosdt_l512_d3
2023-08-25T17:25:53.000Z
[ "region:us" ]
yzhuang
null
null
null
0
0
--- dataset_info: features: - name: id dtype: int64 - name: input_x sequence: sequence: int64 - name: input_y sequence: sequence: float32 - name: rtg sequence: float64 - name: status sequence: sequence: float32 - name: split_threshold sequence: sequence: int64 - name: split_dimension sequence: int64 splits: - name: train num_bytes: 13320800000 num_examples: 100000 - name: validation num_bytes: 1332080000 num_examples: 10000 download_size: 960924312 dataset_size: 14652880000 --- # Dataset Card for "autotree_automl_pol_gosdt_l512_d3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AlvianKhairi/my-pandas-dataset-AbstractAndLink
2023-08-23T06:33:59.000Z
[ "region:us" ]
AlvianKhairi
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 113697146 num_examples: 276033 download_size: 48418586 dataset_size: 113697146 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "my-pandas-dataset-AbstractAndLink" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
laoyaomomo/sd
2023-08-23T06:19:56.000Z
[ "region:us" ]
laoyaomomo
null
null
null
0
0
Entry not found
S2T/my-audio
2023-08-23T06:42:09.000Z
[ "region:us" ]
S2T
null
null
null
0
0
--- dataset_info: features: - name: audio dtype: audio splits: - name: train num_bytes: 9703747.0 num_examples: 2 download_size: 9704885 dataset_size: 9703747.0 --- # Dataset Card for "my-audio" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
yzhuang/autotree_automl_electricity_gosdt_l512_d3
2023-08-26T02:46:11.000Z
[ "region:us" ]
yzhuang
null
null
null
0
0
--- dataset_info: features: - name: id dtype: int64 - name: input_x sequence: sequence: float64 - name: input_y sequence: sequence: float32 - name: rtg sequence: float64 - name: status sequence: sequence: float32 - name: split_threshold sequence: sequence: float64 - name: split_dimension sequence: int64 splits: - name: train num_bytes: 5538400000 num_examples: 100000 - name: validation num_bytes: 553840000 num_examples: 10000 download_size: 1564957370 dataset_size: 6092240000 --- # Dataset Card for "autotree_automl_electricity_gosdt_l512_d3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
NexaAI/Lipstick
2023-08-29T11:50:49.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
HuangHaoyang/test
2023-08-24T06:51:14.000Z
[ "region:us" ]
HuangHaoyang
null
null
null
0
0
--- dataset_info: features: - name: image dtype: image - name: test1 dtype: image splits: - name: train num_bytes: 441048.0 num_examples: 2 download_size: 440373 dataset_size: 441048.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Sneka/jsondata
2023-08-23T07:07:31.000Z
[ "region:us" ]
Sneka
null
null
null
0
0
Entry not found
tyzhu/fw_squad_num_train_1000_eval_100
2023-08-25T03:32:34.000Z
[ "region:us" ]
tyzhu
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: train_doc2id path: data/train_doc2id-* - split: train_id2doc path: data/train_id2doc-* - split: train_find_word path: data/train_find_word-* - split: eval_find_word path: data/eval_find_word-* dataset_info: features: - name: inputs dtype: string - name: targets dtype: string - name: text dtype: string splits: - name: train num_bytes: 299539 num_examples: 2100 - name: train_doc2id num_bytes: 187173 num_examples: 1100 - name: train_id2doc num_bytes: 190473 num_examples: 1100 - name: train_find_word num_bytes: 109066 num_examples: 1000 - name: eval_find_word num_bytes: 10589 num_examples: 100 download_size: 399884 dataset_size: 796840 --- # Dataset Card for "fw_squad_num_train_1000_eval_100" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
insanemyrr/test-diploma-lucchi-cropped-new-mix-biggest
2023-08-23T07:14:01.000Z
[ "region:us" ]
insanemyrr
null
null
null
0
0
--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': testing '1': training splits: - name: train num_bytes: 299779032.96 num_examples: 3960 - name: test num_bytes: 299751233.76 num_examples: 3960 download_size: 599433953 dataset_size: 599530266.72 --- # Dataset Card for "test-diploma-lucchi-cropped-new-mix-biggest" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tyzhu/fw_baseline_squad_train_1000_eval_100
2023-08-25T02:53:11.000Z
[ "region:us" ]
tyzhu
null
null
null
0
0
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: eval_find_word path: data/eval_find_word-* - split: validation path: data/validation-* dataset_info: features: - name: inputs dtype: string - name: targets dtype: string - name: text dtype: string splits: - name: train num_bytes: 355328 num_examples: 1000 - name: eval_find_word num_bytes: 35045 num_examples: 100 - name: validation num_bytes: 35045 num_examples: 100 download_size: 259711 dataset_size: 425418 --- # Dataset Card for "fw_baseline_squad_train_1000_eval_100" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
NexaAI/Skincare
2023-08-31T11:34:42.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/Makeup
2023-08-30T08:20:51.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
AlvianKhairi/my-pandas-dataset-Abstract_Link
2023-08-23T07:20:43.000Z
[ "region:us" ]
AlvianKhairi
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 455609414 num_examples: 552066 download_size: 173420444 dataset_size: 455609414 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "my-pandas-dataset-Abstract_Link" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
NarchAI1992/lora_townhouse
2023-08-23T07:22:04.000Z
[ "license:openrail", "region:us" ]
NarchAI1992
null
null
null
0
0
--- license: openrail ---
rianjombang/prikitiwwwwww
2023-08-23T07:26:17.000Z
[ "region:us" ]
rianjombang
null
null
null
0
0
Entry not found
sahithya20/tech
2023-08-23T07:36:38.000Z
[ "license:unknown", "region:us" ]
sahithya20
null
null
null
0
0
--- license: unknown ---
rangii-reviews/rangii
2023-08-23T07:33:29.000Z
[ "region:us" ]
rangii-reviews
null
null
null
0
0
βœ”**Product Name** β€” [Rangii Toenail Fungus](https://rangii-toenail-fungus.jimdosite.com/) βœ”**Category** β€” Collagen Synthesis βœ”**Side Effect** β€” No Side Effects βœ”**Availability** β€” [Online](https://www.healthsupplement24x7.com/get-rangii) βœ”**Results** β€” In 1-2 Months βœ”**Official WebsiteΒ β€”** [https://www.healthsupplement24x7.com/get-rangii](https://www.healthsupplement24x7.com/get-rangii) [Rangii Toenail Fungus](https://pdfhost.io/v/A5DB1UWHb_Rangii_Toenail_Fungus_Helps_To_Rejuvenates_And_Revitalize_Toe_Skin_And_Nail_Health) is a powerful formula designed to help kill hard-to-treat fungi. The formula has been manufactured using 100% natural ingredients proven effective in eliminating toe fungus. The liquid will also help restore the health of your cuticles, giving you good-looking toenails. [![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjGPvMj4dzR_SU3JPcnzPkMVzjYjyDoYJZJusKZrScFZqScuRwerBUubqhV8p3mkUQ255wK02NQFa2olvgw0flCmCl981YsZcCbbIRVxj4xoaUHTGy1ESYAPR59YksdiTCrKi6C34Bg2Jho6Jhf-ywtRbamMg6Vgd7HXJJIDUX27El_GDeGtK7o6CJEL0h6/w640-h280/Screenshot%20(3093).png)](https://www.healthsupplement24x7.com/get-rangii)Β  ### **[Click Here to Buy Rangii Toenail Fungus](https://www.healthsupplement24x7.com/get-rangii)** **What exactly is Rangii Toenail Fungus?** ------------------------------------------ [Rangii Toenail Fungus](https://rangii.clubeo.com) is a specially formulated liquid designed to combat fungal nail infections. This advanced treatment is meticulously crafted using cutting-edge technology and powerful natural ingredients to effectively eliminate the fungus and restore the health of your nails. The unique blend of active components and oils in the [Rangii Toenail Fungus](https://colab.research.google.com/drive/1kaCabmKiHAPlkTruYQdXKUF_e5DPLylO) works synergistically to penetrate deep into the affected nails, targeting the root cause of the infection and inhibiting fungal growth. With regular use, this remarkable solution not only treats existing infections but also acts as a preventive measure against future outbreaks. With [Rangii Toenail Fungus](https://colab.research.google.com/drive/1BnmMAHLudCNoT3ibOCjEtsdGcCms5zsU), you can finally experience the relief and confidence of having fungus-free nails. **How Does Rangii Work?** ------------------------- [Rangii](https://healthsupplements24x7.blogspot.com/2023/08/rangii.html) is an easy liquid solution developed by experts and recommended by doctors. This serum works instantly on your fungus and skin. Unlike other nail fungus remover products , Rangii offers rapid results so that you can flaunt flawless skin without waiting for the treatment to kick in. This liquid serum blends the power of two natural ingredients that have been used in traditional herbal remedies for centuries - Hyaluronic Acid and Vitamin E Extract. These two natural ingredients contribute to the effectiveness of the Rangii serum. **Rangii Real Benefits:** ------------------------- * **Stronger nails:** The ingredients of Rangii work within. Protects and strengthens nails. No more fragile nails! * **Nail growth:** The serum promotes healthy nail growth for long and glamorous nails. Grow your nails. * **Better nails:** The serum's moisturizing and nutrient-rich properties help revitalize nails. * **Nail repair:** Nail fungus, discoloration and damage are gone. The serum's powerful ingredients address these issues, helping to keep your nails healthy. * **Hydrate nails and cuticles:** The serum also hydrates the epidermis. It prevents dry skin and cuticle problems by moisturizing and softening. * **Simple to use:** Applying the serum is easy. Apply the liquid to the nail and gently massage the area. * **Moisturize nail cuticles:**Β [Rangii Toenail Fungus](https://www.sympla.com.br/evento/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health/2131910) complex believes that a dehydrated cuticle leaves nails dry and brittle. The liquid keeps them moist and strong, preventing infection. * **Helper Cells:**Β [Rangii](https://soundcloud.com/rangii/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health) removes toxins and creates new nail cells. They help strengthen nails and prevent infections. * **Maintain blood flow:** Infected fingernails and feet can interfere with blood circulation. Increased blood flow delivers vitamins and oxygen with Rangii. Blood circulation nourishes the nail and speeds up repair. * **Improves collagen production:** Vitamins C and E in Rangii improve collagen. The serum stimulates collagen production, which helps strengthen nails. [![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhBjEna6XgxJiV3t-voAnVv4Mz5DJrHxKUb7cgRGkSScLzgFTUPeIzc9AzVv447O40qp7ooW3aPxtNZf0T68y7v9KGmz4F1sbzaUhzUPntZ3w8QAiOUqV6lz4eDOKZar0a2LljdcrCsanZsM6EaFJsTHz66oz-DUT_99e2Yj96EAnc1kzQug6EjaxeD_Rec/w640-h292/Screenshot%20(3094).png)](https://www.healthsupplement24x7.com/get-rangii) ### **[\[big Savings Today\] Buy Rangii Toenail Fungus Before Stock Runs Out](https://www.healthsupplement24x7.com/get-rangii)** **What are the ingredients in Rangii?** --------------------------------------- [Rangii](https://www.townscript.com/e/rangii-toenail-fungus-120030) contains a lot of natural oils, minerals, vitamins, and herbal extracts that are guaranteed and proven to treat toenail fungus permanently. According to the official website of [Rangii](https://events.humanitix.com/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health), the following are the ingredients in it: * **Barbadensis:** It is said to reduce skin irritation and nail breakage that are commonly caused in people with toenail fungus infection. It can also relieve pain and inflammation. * **Pelargonium Graveolens Oil:** It is used to fight chronic inflammation of the body in response to fungal infections. It can soothe this inflammation and reduce the irritation of the nails and skin. * **Horsetail:** It is used for its antifungal uses and properties that can find fungi and kill them. It is an excellent remedy for toenail fungus. * **Lemon Extract:** It is said to boost circulation towards your toes and improve the nourishment of the nails and the surrounding skin to remove fungus completely. * **Vitamin E Extract:** It has antifungal, antibacterial, anti-inflammatory, antiviral, and antimicrobial properties that make it the perfect ingredient to treat toenail fungus. * **Pine (Pinus Sylvestris) Bud Extract:** It is known for its soothing and healing properties as it contains some antioxidants that can restore healthy cellular functions and health. * **Hyaluronic Acid:** It can smoothen out the rough edges and add a protective layer on your toenails so they don’t become rough and irritated. * **Potassium Sorbate:** It contains antioxidants that can remove bacteria, toxins and impurities from your feet. It is also used as a cleaner. Β [![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg41JuDAt1VcgfVd4pSieQzDzBKypcCdBpgyzFajFdITPbGahIS1vHcWCfUFCM7RrRTZ6tHAevqecrk1yga9sTp8F8J-bdsBljdvs9AoosIjmaQOqC4nScB5bxVRlvfurobkP7ERmF8aoV4WhSo3bWETEI0Ca2liOurxF9Wajgz41KsKu1OxUZt4hJtDmih/w640-h300/Screenshot%20(3095).png)](https://www.healthsupplement24x7.com/get-rangii) [![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzKY0a5qX547xvh8Cu4cAB2gjsj_VupLDnthc6TYvePBI-qRcRSk4RPt7ulZ9n3yyoeOK5XZJpEeBOg_2u1FlrAMaX6bbSa6lQg4L-hONYYBoiYJJIu9hNoJVBdCGvtr2htqozN8nyyNEi16Wlk1-HcaXYgec-9Q9_uI2k1tS4oXGTJt94IRJUxk15B2jd/w640-h454/Screenshot%20(3096).png)](https://www.healthsupplement24x7.com/get-rangii)Β  ### **[Buy Now From Rangii Toenail Fungus Official Website - Best Price, And Discount!](https://www.healthsupplement24x7.com/get-rangii)** **How to Use Rangii Toenail Fungus?**Β  -------------------------------------- Using this [Rangii](https://colab.research.google.com/drive/1Z0_xQUZ6ci80HFkpq7CnOkzfRnXvfx9u) is quite simple. Take one dropper of serum and apply it to the affected area. Gently massage nails and skin in a day. Consistency paves better results, and you can also apply it under moisturizers. If you are prone to skin conditions, then consult a dermatologist before using this serum. **Pricing and Availability**Β  ----------------------------- [Rangii](https://www.ivoox.com/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-audios-mp3_rf_114760270_1.html) is only available on the official website . Customers making multiple orders get discounts plus bonuses. Below is how the pricing works:Β  * One Rangii bottle – $69 * Three Rangii Bottles – $49/bottle * Six Rangii bottles – $39/bottle + 2 Digital books + free US shippingΒ  After purchase, [Rangii](https://colab.research.google.com/drive/10ptXse-pV7DfOZUmh6wvztRFW0nJfjRI) maker ships the formulation and bonuses within five business days. However, customers receive the digital guides through their email immediately after purchase.Β  [![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhB-LvIU43Dkw0oPbiuP68-Z3tUxozPJcAmzp0H9rCLTU_xLUlLFwPU4jZyC8uwof6wjP5KEVOrx_MZK_diCptip8_ReUer2I4cbD5GqCE9j-6AsAMVyZQwyg5lICrDQ3zX9_A0Bt6oWJDQtv5kHTIwHbniG1OgntmAJ1svwXqEEUWg1maOBe1YUOOzTwTs/w640-h474/Screenshot%20(3098).png)](https://www.healthsupplement24x7.com/get-rangii) ### **[Click to buy Rangii Toenail Fungus today from the company’s official website!](https://www.healthsupplement24x7.com/get-rangii)** **Rangii – Bonuses** -------------------- BONUS #1 7 Dangers of Ignoring Fungus BONUS #2 Toenail Fungus Code **Rangii – Refund Policy** -------------------------- The main goal of the creators of [Rangii](https://rangii.clubeo.com/page/rangii-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health.html) is to satisfy the customer. That's why every box of this product comes with a 60-day money-back guarantee. For 60 days you can use Rangii risk-free; If you are not satisfied, just ask for a refund. This way you can be sure that even if [Rangii](https://www.scoop.it/topic/rangii-toenail-fungus) does not give the desired effect, your hard-earned money will not be wasted.Β  **Where Can I Buy Rangii Toenail Fungus in USA?** ------------------------------------------------- Get [Rangii Toenail Fungus](https://rangii.clubeo.com/page/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health.html) mole corrector and tag removal serum in Canada & USA from the official website. Check Its availability in Australia, New Zealand, Canada & USA. Visit [Rangii Toenail Fungus](https://rangii.hashnode.dev/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health) Official Website & select your country before placing order. [![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5QdDQhp6pcBLTb7CuobAM0hh4P-q9j_qbiF9Bl-k9GSQ5emHundabfyMPEFu9iANiUGtp2GYZtd-eq6zmGpPFXR4tN_i8D_U7eRD_Rm_E_0U2opkvDcZ4rt4GTIZh6FnPTpvE2QypsCmpyI4NlHeQZc_fofTRNzYLaYgxufZEodAtKjxYW5xIN7ErI9yq/w640-h418/Screenshot%20(3097).png)](https://www.healthsupplement24x7.com/get-rangii) **Conclusion** -------------- If you want to get rid of your embarrassing skin, [Rangii Fungus Remover](https://rangii.clubeo.com/calendar/2023/08/23/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health) is a great option. It has a special formula that eliminates them quickly and naturally without causing any problems or side effects. This serum can be used for 30 days, and in two weeks, you should see results; thus you don’t have to sit tight for a really long time prior to utilizing it once more. The product has received favorable reviews from customers who have expressed their satisfaction with it. If you’re ready for more information, ### **[Buy Your β€œRangii Fungus Remover Serum” Before Stock Runs Out](https://www.healthsupplement24x7.com/get-rangii)** [https://healthsupplements24x7.blogspot.com/2023/08/rangii.html](https://healthsupplements24x7.blogspot.com/2023/08/rangii.html) [https://rangii-toenail-fungus.jimdosite.com/](https://rangii-toenail-fungus.jimdosite.com/) [https://pdfhost.io/v/A5DB1UWHb\_Rangii\_Toenail\_Fungus\_Helps\_To\_Rejuvenates\_And\_Revitalize\_Toe\_Skin\_And\_Nail\_Health](https://pdfhost.io/v/A5DB1UWHb_Rangii_Toenail_Fungus_Helps_To_Rejuvenates_And_Revitalize_Toe_Skin_And_Nail_Health) [https://rangii.clubeo.com](https://rangii.clubeo.com) [https://rangii.clubeo.com/calendar/2023/08/23/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health](https://rangii.clubeo.com/calendar/2023/08/23/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health) [https://rangii.clubeo.com/page/rangii-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health.html](https://rangii.clubeo.com/page/rangii-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health.html) [https://rangii.clubeo.com/page/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health.html](https://rangii.clubeo.com/page/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health.html) [https://rangii.hashnode.dev/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health](https://rangii.hashnode.dev/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health) [https://www.sympla.com.br/evento/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health/2131910](https://www.sympla.com.br/evento/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health/2131910) [https://www.scoop.it/topic/rangii-toenail-fungus](https://www.scoop.it/topic/rangii-toenail-fungus) [https://www.ivoox.com/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-audios-mp3\_rf\_114760270\_1.html](https://www.ivoox.com/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-audios-mp3_rf_114760270_1.html) [https://soundcloud.com/rangii/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health](https://soundcloud.com/rangii/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health) [https://www.townscript.com/e/rangii-toenail-fungus-120030](https://www.townscript.com/e/rangii-toenail-fungus-120030) [https://colab.research.google.com/drive/1Z0\_xQUZ6ci80HFkpq7CnOkzfRnXvfx9u](https://colab.research.google.com/drive/1Z0_xQUZ6ci80HFkpq7CnOkzfRnXvfx9u) [https://colab.research.google.com/drive/10ptXse-pV7DfOZUmh6wvztRFW0nJfjRI](https://colab.research.google.com/drive/10ptXse-pV7DfOZUmh6wvztRFW0nJfjRI) [https://colab.research.google.com/drive/1BnmMAHLudCNoT3ibOCjEtsdGcCms5zsU](https://colab.research.google.com/drive/1BnmMAHLudCNoT3ibOCjEtsdGcCms5zsU) [https://colab.research.google.com/drive/1kaCabmKiHAPlkTruYQdXKUF\_e5DPLylO](https://colab.research.google.com/drive/1kaCabmKiHAPlkTruYQdXKUF_e5DPLylO) [https://colab.research.google.com/drive/1Gzv5qzTUBZGgBvlX4u9\_6OyvAZl7l3B4](https://colab.research.google.com/drive/1Gzv5qzTUBZGgBvlX4u9_6OyvAZl7l3B4) [https://events.humanitix.com/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health](https://events.humanitix.com/rangii-toenail-fungus-helps-to-rejuvenates-and-revitalize-toe-skin-and-nail-health) [https://form.jotform.com/Rangii/rangii-toenail-fungus](https://form.jotform.com/Rangii/rangii-toenail-fungus) [https://blieutch-ghuay-teey.yolasite.com/](https://blieutch-ghuay-teey.yolasite.com/) [https://devfolio.co/@rangiireviews](https://devfolio.co/@rangiireviews) [https://devfolio.co/projects/rangii-e948](https://devfolio.co/projects/rangii-e948)
ophycare/medtext-dataset
2023-08-23T07:37:04.000Z
[ "region:us" ]
ophycare
null
null
null
0
0
Entry not found
HydraLM/embedded_datasets_0822
2023-08-23T07:49:33.000Z
[ "region:us" ]
HydraLM
null
null
null
0
0
--- dataset_info: features: - name: text dtype: string - name: conversation_id dtype: int64 - name: dataset_id dtype: string - name: unique_conversation_id dtype: string - name: embedding sequence: float32 splits: - name: train num_bytes: 14376321549 num_examples: 2865791 download_size: 14664637194 dataset_size: 14376321549 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "combined_embedded_v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
xrunda/ptrain
2023-08-23T08:09:25.000Z
[ "license:openrail", "region:us" ]
xrunda
null
null
null
0
0
--- license: openrail ---
eunyounglee/rm_data_correct
2023-08-23T08:41:24.000Z
[ "region:us" ]
eunyounglee
null
null
null
0
0
Entry not found
otgs/translator_en_es_example
2023-08-23T07:55:15.000Z
[ "license:apache-2.0", "region:us" ]
otgs
null
null
null
0
0
--- license: apache-2.0 ---
ShuoChen99/adarobustness
2023-08-23T08:17:48.000Z
[ "license:mit", "region:us" ]
ShuoChen99
null
null
null
0
0
--- license: mit ---
bnarasimha21/demo-dataset
2023-08-23T11:42:05.000Z
[ "region:us" ]
bnarasimha21
null
null
null
0
0
Entry not found
vincenttttt/CtoD_ForFineTune
2023-08-23T08:17:58.000Z
[ "region:us" ]
vincenttttt
null
null
null
0
0
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: text dtype: string splits: - name: train num_bytes: 1621745 num_examples: 3673 download_size: 476099 dataset_size: 1621745 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "CtoD_ForFineTune" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
jojobroo/dfd
2023-08-23T08:29:44.000Z
[ "region:us" ]
jojobroo
null
null
null
0
0
dddd
XYLF/autotrain-data-flan-t5-tuning
2023-08-23T08:45:58.000Z
[ "task_categories:translation", "region:us" ]
XYLF
null
null
null
0
0
--- task_categories: - translation --- # AutoTrain Dataset for project: flan-t5-tuning ## Dataset Description This dataset has been automatically processed by AutoTrain for project flan-t5-tuning. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "target": "G(!( oGupGnpHlFihSN ))", "source": "it never happens that oGupGnpHlFihSN", "feat_Unnamed: 2": null }, { "target": "G(!( uJwMVmQcOjk & NFbgbwYf & uwbnvOQXgDVD ))", "source": "at no time uJwMVmQcOjk and, at the same time, NFbgbwYf and uwbnvOQXgDVD", "feat_Unnamed: 2": null } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "target": "Value(dtype='string', id=None)", "source": "Value(dtype='string', id=None)", "feat_Unnamed: 2": "Value(dtype='float64', id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 2399 | | valid | 600 |
gwj/beidou
2023-08-23T08:43:38.000Z
[ "region:us" ]
gwj
null
null
null
0
0
Entry not found
tv-100/pikaroo
2023-08-23T08:43:39.000Z
[ "region:us" ]
tv-100
null
null
null
0
0
Entry not found
NexaAI/Chemical
2023-08-24T02:31:41.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/FabricSoftener
2023-08-24T02:33:17.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/FacialCleanser
2023-08-24T02:34:46.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/NailPolish
2023-08-24T02:37:06.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/Perfume
2023-08-24T02:46:25.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/Shampoo
2023-08-24T02:26:30.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/Toothpaste
2023-08-23T12:10:36.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
ruoyunbai/eagleImage
2023-08-23T09:42:11.000Z
[ "license:openrail", "region:us" ]
ruoyunbai
null
null
null
0
0
--- license: openrail ---
NexaAI/Bread
2023-08-24T11:42:14.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
LiuChong/INF-PCA-Data
2023-08-25T06:43:31.000Z
[ "region:us" ]
LiuChong
null
null
null
0
0
Entry not found
NexaAI/Burger
2023-08-24T10:28:42.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
ArmelR/gradio-backticks
2023-08-23T08:55:08.000Z
[ "region:us" ]
ArmelR
null
null
null
0
0
--- dataset_info: features: - name: content dtype: string splits: - name: train num_bytes: 49489556.86150187 num_examples: 18601 - name: test num_bytes: 5764466.444776864 num_examples: 1590 download_size: 27504053 dataset_size: 55254023.306278735 --- # Dataset Card for "gradio-backticks" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
NexaAI/Cake
2023-08-25T02:13:39.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/Dessert
2023-08-25T02:56:31.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/IceCream
2023-08-28T01:43:37.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/Pasta
2023-08-28T05:40:48.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
NexaAI/Pizza
2023-08-29T12:08:26.000Z
[ "region:us" ]
NexaAI
null
null
null
0
0
Entry not found
thisisHJLee/rlhf_reward_data_long
2023-08-23T09:04:09.000Z
[ "license:apache-2.0", "region:us" ]
thisisHJLee
null
null
null
0
0
--- license: apache-2.0 ---
neil-code/subset-data-en-zh
2023-08-23T09:07:27.000Z
[ "license:other", "region:us" ]
neil-code
null
null
null
0
0
--- license: other ---
gollumeo/France_Government_Conversations
2023-08-23T12:12:38.000Z
[ "region:us" ]
gollumeo
null
null
null
0
0
Entry not found