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arnav-dwivv/hindi1 | arnav-dwivv | "2024-08-02T11:46:44Z" | 35 | 0 | [
"license:apache-2.0",
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] | null | "2024-08-01T09:47:53Z" | ---
license: apache-2.0
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---
|
rickygrains/kapitanbomba | rickygrains | "2024-08-01T10:02:17Z" | 35 | 0 | [
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license: apache-2.0
---
|
rickygrains/cytaty | rickygrains | "2024-08-01T10:47:16Z" | 35 | 0 | [
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srbdtwentyfour/gpt-4o-mini-temp-push | srbdtwentyfour | "2024-08-01T12:11:52Z" | 35 | 0 | [
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Illiyas2024/SFT_dataset | Illiyas2024 | "2024-08-01T10:56:08Z" | 35 | 0 | [
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Artzy7/fazueli | Artzy7 | "2024-08-01T14:48:29Z" | 35 | 0 | [
"license:openrail",
"region:us"
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license: openrail
---
|
vcxa/hail_data2 | vcxa | "2024-08-01T15:23:33Z" | 35 | 0 | [
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# Dataset Card for "hail_data2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
cairocode/MSP_SYL2_SPLIT | cairocode | "2024-08-01T14:27:04Z" | 35 | 0 | [
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Esmaeilkianii/Dehkhodaa | Esmaeilkianii | "2024-08-01T14:35:26Z" | 35 | 0 | [
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license: apache-2.0
---
|
cash-app-inc/open-sea-rlr | cash-app-inc | "2024-08-02T04:42:42Z" | 35 | 0 | [
"license:cc-by-4.0",
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] | null | "2024-08-02T04:39:15Z" | ---
fontsize: 10pt
geometry: margin=0cm
output: pdf_document
license: cc-by-4.0
---
# Open Sea for Recent Link Regression
## Summary
1. **Name:** `open-sea-rlr`
2. **Description:** This dataset involves a Non-Fungible Token (NFT) transaction network between the users of [Open Sea](https://opensea.io/). Vertices represent unique sellers and buyers of NFTs. Each transaction is characterized by a timestamp and a feature vector. Features include binary representations of categorical variables, cryptocurrency exchange rates, and monetary values. The target value for each transaction is computed as the rate of return on investment, normalized by the original purchase price. This metric reflects the profitability of each transaction.
3. **Task:** The task is predicting the rate of return for an investment (NFT purchase).
4. **Date of Creation:** 01.07.2024
5. **Last Update:** 01.07.2024
6. **Original Sources:** https://huggingface.co/datasets/MLNTeam-Unical/NFT-70M_transactions
7. **Contact Information:** [email](muberra@block.xyz)
8. **License:** CC BY 4.0
## Statistics
| Category | Data |
|-------------------------|------------|
| Number of Nodes | 2,601,107 |
| Number of Edges | 25,876,356 |
| Number of Node Features | 0 |
| Number of Edge Features | 86 |
| Number of Timestamps | 7,361,184 |
## Download
1. **Format:** Compressed `data.pt` which involves a python dictionary as follows:
```python
data = {
"node_attr": None,
"edge_index": torch.LongTensor,
"edge_time": torch.FloatTensor,
"edge_attr": torch.FloatTensor,
"edge_label": torch.FloatTensor,
"num_nodes": int
}
```
2. **Size:** 322 MB
3. **Location:** https://huggingface.co/datasets/ca-aird/airtraffic2015/blob/main/data.zip
## Citation
```
@article{,
title={Benchmarking Edge Regression on Temporal Networks},
author={Muberra Ozmen and Florence Regol and Thomas Markovich},
journal={X},
volume={X},
number={X},
pages={X},
year={X},
publisher={X}
}
```
## Preprocessing
Transaction records involve following fields:
| Field | Description | Usage |
|------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------|
| `seller_account` | Address of the NFT seller. | Used as source node |
| `winner_account` | Address of the NFT buyer. | Used as destination node |
| `tx_timestamp` | Timestamp of the transaction. | Used as edge time |
| `token` | Token type used to pay the transaction: converted to categorical data with 0/1 indicator. | Used as edge feature |
| `chain` | Blockchain where the transaction occurs: converted to categorical data with 0/1 indicator. | Used as edge feature |
| `token_type` | Schema of the token, i.e., ERC721 or ERC1155: converted to categorical data with 0/1 indicator. | Used as edge feature |
| `asset_contract_type` | Asset typology, i.e., non-fungible or semi-fungible: converted to categorical data with 0/1 indicator. | Used as edge feature |
| `asset_type` | Whether the asset was involved in a simple or bundle transaction: converted to categorical data with 0/1 indicator. | Used as edge feature |
| `to_eth` | Conversion rate to convert tokens into Ethereum at the current timestamp: normalized to [0, 1]. | Used as edge feature |
| `to_usd` | Conversion rate to convert tokens into US dollars (USD) at the current timestamp: normalized to [0, 1]. | Used as edge feature |
| `created_date` | Date of creation of the contract: converted to timestamp. | Used as edge feature |
| `token_id` | ID of the NFT. | |
| `collection_name` | ID for accessing the collection name: `token_id` is unique within the same collection, so these two are used to identify unique item identification `item_id`. | |
| `usd_price` | Price of the transaction expressed in US dollars (USD): used to calculate edge target such that (`usd_price` - NEXT[`usd_gain`]) / `usd_price`. | Used to calculate edge target |
| `usd_gain` | Difference between the price and the fees expressed in US dollars (USD): used to calculate edge target such that (`usd_price` - NEXT[`usd_gain`]) / `usd_price` | Used to calculate edge target |
## Notes
1. **Acknowledgements:**
- All funding was provided by [Block Inc](https://block.xyz).
2. **References:**
- La Cava, L., Costa, D., & Tagarelli, A. (2023). SONAR: Web-based Tool for Multimodal Exploration of Non-Fungible Token Inspiration Networks. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23), 3200–3204. New York, NY, USA: Association for Computing Machinery.
- La Cava, L., Costa, D., & Tagarelli, A. (2023). Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokens. arXiv preprint arXiv:2303.17031.
- Costa, D., La Cava, L., & Tagarelli, A. (2023). Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction. In Proceedings of the ACM Web Conference 2023 (WWW '23), 1875–1885. New York, NY, USA: Association for Computing Machinery.
## Author Statement
I, Muberra Ozmen, declare that I bear full responsibility for the dataset described herein, including its contents and compliance with applicable laws and regulations. By providing access to this dataset, I confirm that it is released under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). Users are free to:
- **Share** — copy and redistribute the material in any medium or format
- **Adapt** — remix, transform, and build upon the material for any purpose, even commercially
Under the following conditions:
- **Attribution** — appropriate credit must be given to the associated publication indicating if any changes were made. This information should be provided in a manner that is reasonable given the medium, means, and context in which the dataset is shared.
For any use or redistribution of the dataset not permitted under this license, explicit permission from the dataset's creator is required.
The dataset will be hosted on a secure platform that ensures continuous access to the data. We have chosen [Hugging Face](https://huggingface.co/) for its robust infrastructure and capability to handle large datasets. Access to the dataset will be facilitated through a curated interface, providing users with efficient search and retrieval functionalities.
**Licensing:**
The dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to freely use, share, and adapt the material, provided appropriate credit is given to the dataset's creator.
**Maintenance:**
Regular maintenance of the dataset and its hosting platform will be conducted to ensure data integrity, security, and accessibility. Updates to the dataset, if any, will be promptly integrated into the platform to reflect the most current information available. |
thusinh1969/Gemma2-tok-Rerank-1024-2AUG | thusinh1969 | "2024-08-02T11:08:48Z" | 35 | 0 | [
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krishnakalyan3/kolors_v2 | krishnakalyan3 | "2024-08-02T13:25:08Z" | 35 | 0 | [
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Elvis811/FT_bert_dataset_test | Elvis811 | "2024-08-02T13:29:35Z" | 35 | 0 | [
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sdixit/sankhya-karika | sdixit | "2024-08-02T18:24:17Z" | 35 | 0 | [
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license: apache-2.0
---
The dataset contains 72 karika (shlokas) of The Samkhya philosophy (Reference: https://archive.org/details/thesamkhyaphilos00sinhuoft/page/52/mode/2up)
Sanskrit-to-English dataset consists of Sanskrit karika, Sanskrit written in English, and its translation in English
Sanskrit-word-definitions dataset consists of translation of every Sanskrit word used in a Karika along with synonyms |
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Solarorg/whisper-small-fa-commonvoice | Solarorg | "2024-08-03T19:12:34Z" | 35 | 0 | [
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jganzabalseenka/Tweet_2024-08-02T20_24hs | jganzabalseenka | "2024-08-03T23:41:51Z" | 35 | 0 | [
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Wakapout/qiskit | Wakapout | "2024-08-25T21:24:24Z" | 35 | 0 | [
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NikitaKlimenkoAEC/dataset_5 | NikitaKlimenkoAEC | "2024-08-05T05:43:19Z" | 35 | 0 | [
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RazeVX/Test | RazeVX | "2024-08-05T07:07:52Z" | 35 | 0 | [
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jlbaker361/eval_512_synthetic-data_dcgan_100_10 | jlbaker361 | "2024-08-05T14:10:36Z" | 35 | 0 | [
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zobairhasanmns/T431321blouse | zobairhasanmns | "2024-08-05T15:53:11Z" | 35 | 0 | [
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Claire-Jiang/model | Claire-Jiang | "2024-08-07T00:03:12Z" | 35 | 0 | [
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Doub7e/MJ-Stylized-dreambooth | Doub7e | "2024-08-13T07:44:05Z" | 35 | 0 | [
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shun-yi/en-wiki | shun-yi | "2024-08-06T02:33:02Z" | 35 | 0 | [
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] | null | "2024-08-06T02:33:02Z" | ---
license: apache-2.0
---
|
sahilbabu1122/adminspenal | sahilbabu1122 | "2024-08-06T13:33:25Z" | 35 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2024-08-06T13:33:25Z" | ---
license: apache-2.0
---
|
evalitahf/document_dating | evalitahf | "2024-11-04T07:49:08Z" | 35 | 0 | [
"task_categories:text-classification",
"language:it",
"license:cc-by-nc-sa-4.0",
"size_categories:1K<n<10K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | [
"text-classification"
] | "2024-08-06T14:26:34Z" | ---
language:
- it
language_details: it-IT
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: "data.jsonl"
- split: trial
path: "trial.jsonl"
- split: test_same
path: test-same-genre.jsonl
- split: test_cross
path: test-cross-genre.jsonl
---
## Dating Document Evaluation at EVALITA 2020
In the context of EVALITA 2020, we propose the task of assigning a temporal span to a document, i.e. recognising when a document was issued. The task has already been addressed in other languages, namely French, English, Polish, also in the framework of shared tasks, see for example the DÉfi Fouille de Textes (DEFT) 2010 and 2011 challenges (Grouin, 2010; Grouin, 2011), the SemEval-2015 task on Diachronic Text Evaluation (Popescu and Strapparava, 2015) and the RetroC challenge (Graliński, 2017). This task is relevant because it can play a role in document retrieval, summarisation, event detection, etc. It is also an important task per se, since it can be used to process large archival collections. In particular, when some documents in a collection have not been dated, supervised approaches could be applied to learn from the documents with a date which time span can be assigned to those who are not provided with temporal metadata. Along this line, we proposed our task taking Alcide De Gasperi’s corpus of public documents (Tonelli et al., 2019) as a use case.
In is important to note that this is a novel task for the Italian community, and therefore participating systems should be built from scratch.
The organizers rely on the honesty of all participants who might have some prior knowledge of part of the data that will be used for evaluation, not to unfairly use such knowledge.
More info on the dataset [at this link](https://dhfbk.github.io/DaDoEval/)
## Citation
If you find this useful please cite:
```
@inproceedings{menini2020dadoeval,
title={DaDoEval@ EVALITA 2020: Same-genre and cross-genre dating of historical documents},
author={Menini, Stefano and Moretti, Giovanni and Sprugnoli, Rachele and Tonelli, Sara and others},
booktitle={Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020)},
pages={391--397},
year={2020},
organization={Accademia University Press}
}
``` |
Alex0Zhao/ruozhiba-llama3-tt | Alex0Zhao | "2024-08-06T15:05:13Z" | 35 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2024-08-06T15:05:12Z" | ---
license: apache-2.0
---
|
crossmodal/PLS-NCA-ECG-EDA-Gaze-EEG | crossmodal | "2024-08-06T18:19:40Z" | 35 | 0 | [
"license:llama3.1",
"region:us"
] | null | "2024-08-06T18:19:40Z" | ---
license: llama3.1
---
|
IOAI2024colombia/colorfullSnakes | IOAI2024colombia | "2024-08-06T22:07:01Z" | 35 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-06T22:06:53Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 100712820.0
num_examples: 160
download_size: 37454495
dataset_size: 100712820.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
andrewsiah/PersonaPromptPersonalLLM_672 | andrewsiah | "2024-08-06T23:58:51Z" | 35 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-06T23:58:49Z" | ---
dataset_info:
features:
- name: personaid_672_response_1_llama3_sfairx
dtype: float64
- name: personaid_672_response_2_llama3_sfairx
dtype: float64
- name: personaid_672_response_3_llama3_sfairx
dtype: float64
- name: personaid_672_response_4_llama3_sfairx
dtype: float64
- name: personaid_672_response_5_llama3_sfairx
dtype: float64
- name: personaid_672_response_6_llama3_sfairx
dtype: float64
- name: personaid_672_response_7_llama3_sfairx
dtype: float64
- name: personaid_672_response_8_llama3_sfairx
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- name: prompt
dtype: string
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
- name: response_5_oasst_pythia_1b
dtype: float64
- name: response_6_oasst_pythia_1b
dtype: float64
- name: response_7_oasst_pythia_1b
dtype: float64
- name: response_8_oasst_pythia_1b
dtype: float64
- name: id
dtype: int64
- name: rformatted_promptresponse_1
dtype: string
- name: rformatted_promptresponse_2
dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
splits:
- name: train
num_bytes: 32601752
num_examples: 1000
download_size: 18434875
dataset_size: 32601752
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "PersonaPromptPersonalLLM_672"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
NikitaKlimenkoAEC/dataset_rgb128 | NikitaKlimenkoAEC | "2024-08-07T03:39:38Z" | 35 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-07T03:39:37Z" | ---
dataset_info:
features:
- name: image1
dtype: image
- name: image_red
dtype: image
- name: image_red_blue
dtype: image
- name: image_red_blue_green
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 30489029.0
num_examples: 172
download_size: 30485507
dataset_size: 30489029.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
hirundo-io/BreaKHis-original | hirundo-io | "2024-08-07T09:00:47Z" | 35 | 0 | [
"license:bsd-3-clause",
"region:us"
] | null | "2024-08-07T09:00:12Z" | ---
license: bsd-3-clause
---
|
mitek/test | mitek | "2024-08-07T09:15:42Z" | 35 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2024-08-07T09:15:42Z" | ---
license: apache-2.0
---
|
andrewsiah/PersonaPromptPersonalLLM_963 | andrewsiah | "2024-08-07T16:04:09Z" | 35 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-07T16:04:07Z" | ---
dataset_info:
features:
- name: personaid_963_response_1_llama3_sfairx
dtype: float64
- name: personaid_963_response_2_llama3_sfairx
dtype: float64
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dtype: float64
- name: personaid_963_response_4_llama3_sfairx
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- name: personaid_963_response_5_llama3_sfairx
dtype: float64
- name: personaid_963_response_6_llama3_sfairx
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dtype: float64
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dtype: string
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dtype: string
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dtype: string
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dtype: string
splits:
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num_bytes: 32617752
num_examples: 1000
download_size: 18432079
dataset_size: 32617752
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "PersonaPromptPersonalLLM_963"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
ulisesbejerano89/SoloParadaniela | ulisesbejerano89 | "2024-08-07T16:48:21Z" | 35 | 0 | [
"license:gemma",
"region:us"
] | null | "2024-08-07T16:48:21Z" | ---
license: gemma
---
|
andrewsiah/PersonaPromptPersonalLLM_991 | andrewsiah | "2024-08-07T17:30:24Z" | 35 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-07T17:30:22Z" | ---
dataset_info:
features:
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dtype: float64
- name: personaid_991_response_2_llama3_sfairx
dtype: float64
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- name: response_7_model
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- name: response_8
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- name: response_8_model
dtype: string
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- name: response_2_gemma_2b
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- name: response_3_gemma_2b
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dtype: float64
- name: response_6_gemma_2b
dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
- name: response_7_gemma_7b
dtype: float64
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dtype: float64
- name: response_1_mistral_raft
dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
- name: response_8_mistral_weqweasdas
dtype: float64
- name: response_1_llama3_sfairx
dtype: float64
- name: response_2_llama3_sfairx
dtype: float64
- name: response_3_llama3_sfairx
dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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- name: response_2_oasst_deberta_v3
dtype: float64
- name: response_3_oasst_deberta_v3
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
- name: response_5_oasst_pythia_1b
dtype: float64
- name: response_6_oasst_pythia_1b
dtype: float64
- name: response_7_oasst_pythia_1b
dtype: float64
- name: response_8_oasst_pythia_1b
dtype: float64
- name: id
dtype: int64
- name: rformatted_promptresponse_1
dtype: string
- name: rformatted_promptresponse_2
dtype: string
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dtype: string
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dtype: string
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dtype: string
- name: rformatted_promptresponse_6
dtype: string
- name: rformatted_promptresponse_7
dtype: string
- name: rformatted_promptresponse_8
dtype: string
splits:
- name: train
num_bytes: 32673752
num_examples: 1000
download_size: 18441007
dataset_size: 32673752
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "PersonaPromptPersonalLLM_991"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
howkewlisthat/axsy_ps-inspection_5k | howkewlisthat | "2024-08-07T17:39:39Z" | 35 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-07T17:36:19Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Person
'1': Dairy Product
'2': Table
'3': Cake
'4': Pastry
'5': Tie
'6': Suit
'7': Shotgun
'8': Helmet
'9': Curtain
'10': Human arm
'11': Backpack
'12': Vehicle
'13': Food
'14': Tree
'15': Footwear
'16': Shirt
'17': Human ear
'18': Human head
'19': Toy
'20': Building
'21': Book
'22': Human body
'23': Handbag
'24': Human face
'25': Human hand
'26': Window
'27': Mammal
'28': Plant
'29': Fedora
'30': Trousers
'31': Light bulb
'32': Picture frame
'33': Office building
'34': Wine
'35': Wine glass
'36': Chair
'37': Coffee cup
'38': Coffee table
'39': Countertop
'40': Microwave oven
'41': Football
'42': Sports uniform
'43': Tower
'44': Swimwear
'45': Skyscraper
'46': Sunglasses
'47': Shorts
'48': Truck
'49': Wheel
'50': Van
'51': Tableware
'52': Man
'53': Poster
'54': Jeans
'55': Desk
'56': Television
'57': Clothing
'58': Car
'59': Rifle
'60': Jacket
'61': Airplane
'62': Guitar
'63': Violin
'64': Drum
'65': Microphone
'66': Train
'67': Furniture
'68': Human eye
'69': Human hair
'70': Musical instrument
'71': Adhesive tape
'72': Cosmetics
'73': Flag
'74': Glasses
'75': Hat
'76': Traffic light
'77': Bus
'78': Street light
'79': Human foot
'80': Human leg
'81': Cabinetry
'82': Gas stove
'83': Cupboard
'84': Kitchen appliance
'85': Stretcher
'86': Sculpture
'87': Couch
'88': Stool
'89': Coat
'90': Door
'91': Sombrero
'92': Waste container
'93': Doll
'94': Miniskirt
'95': Baseball bat
'96': Hiking equipment
'97': Refrigerator
'98': Ice cream
'99': Land vehicle
'100': Human mouth
'101': Tent
'102': Animal
'103': Woman
'104': Mixing bowl
'105': Kitchen utensil
'106': Bowl
'107': Surfboard
'108': Human nose
'109': Office supplies
'110': Dog
'111': Bench
'112': Saucer
'113': Plate
'114': Spoon
'115': Fork
'116': Sun hat
'117': Skirt
'118': Balloon
'119': Bicycle
'120': Bicycle wheel
'121': Bicycle helmet
'122': Whiteboard
'123': Umbrella
'124': Christmas tree
'125': Paddle
'126': Canoe
'127': Bookcase
'128': Bottle
'129': House
'130': Camera
'131': Cocktail
'132': Tin can
'133': Brassiere
'134': Bronze sculpture
'135': Traffic sign
'136': Horse
'137': Human beard
'138': Cowboy hat
'139': Drink
'140': Lamp
'141': Laptop
'142': Computer keyboard
'143': Parachute
'144': Beer
'145': Organ (Musical Instrument)
'146': Bull
'147': Juice
'148': Knife
'149': Houseplant
'150': Flowerpot
'151': Tap
'152': Bathtub
'153': Glove
'154': Sports equipment
'155': Vehicle registration plate
'156': Taxi
'157': Dress
'158': Fountain
'159': Sink
'160': Mirror
'161': Bathroom accessory
'162': Flower
'163': Piano
'164': Boat
'165': Bathroom cabinet
'166': Chest of drawers
'167': Drawer
'168': Motorcycle
'169': Barrel
'170': Computer monitor
'171': Kitchen & dining room table
'172': Mug
'173': Fruit
'174': Pumpkin
'175': Stairs
'176': Goggles
'177': Lighthouse
'178': Ball
'179': Bowling equipment
'180': Snowboard
'181': Pig
'182': Insect
'183': Spider
'184': Sushi
'185': Sock
'186': Watercraft
'187': Tortoise
'188': Marine mammal
'189': Lantern
'190': Snack
'191': Plastic bag
'192': Clock
'193': Watch
'194': Mule
'195': Billboard
'196': Football helmet
'197': Palm tree
'198': Box
'199': Sofa bed
'200': Shelf
'201': Cat
'202': Tire
'203': Swimming pool
'204': Fast food
'205': Cheese
'206': Hamburger
'207': Balance beam
'208': Candy
'209': Gondola
'210': Nightstand
'211': Pillow
'212': Bed
'213': Studio couch
'214': Cucumber
'215': Zucchini
'216': Golf ball
'217': Dinosaur
'218': Candle
'219': Bread
'220': Sandwich
'221': Home appliance
'222': Tool
'223': Mobile phone
'224': Weapon
'225': Pen
'226': Platter
'227': Cart
'228': Limousine
'229': Rabbit
'230': Fish
'231': Coffee
'232': Tea
'233': Baseball glove
'234': Hamster
'235': Mouse
'236': Porch
'237': Toilet
'238': Fireplace
'239': Wood-burning stove
'240': Cattle
'241': Ladder
'242': Crown
'243': Skull
'244': Sandal
'245': High heels
'246': Girl
'247': Musical keyboard
'248': Wok
'249': Coconut
'250': Auto part
'251': Necklace
'252': Mechanical fan
'253': Ceiling fan
'254': Headphones
'255': Lipstick
'256': Dagger
'257': Bird
'258': Convenience store
'259': French fries
'260': Bust
'261': Chopsticks
'262': Food processor
'263': Mixer
'264': Towel
'265': Cello
'266': Oven
'267': Door handle
'268': Vase
'269': Common sunflower
'270': Frying pan
'271': Kitchen knife
'272': Tank
'273': Washing machine
'274': Baked goods
'275': Boot
'276': Toaster
'277': Fashion accessory
'278': Drinking straw
'279': Salad
'280': Light switch
'281': Serving tray
'282': Dessert
'283': Teapot
'284': Helicopter
'285': Tablet computer
'286': Binoculars
'287': Plumbing fixture
'288': Cake stand
'289': Accordion
'290': Ski
'291': Coin
'292': Trumpet
'293': Trombone
'294': Scarf
'295': Wall clock
'296': Sword
'297': Medical equipment
'298': Bidet
'299': Toilet paper
'300': Personal flotation device
'301': Soap dispenser
'302': Jug
'303': Kettle
'304': Infant bed
'305': Earrings
'306': Dishwasher
'307': Scoreboard
'308': Teddy bear
'309': Tripod
'310': Luggage and bags
'311': Vegetable
'312': Shower
'313': Elephant
'314': Camel
'315': Carnivore
'316': Orange
'317': Grapefruit
'318': Saxophone
'319': Computer mouse
'320': Suitcase
'321': Bow and arrow
'322': Harp
'323': Cutting board
'324': Window blind
'325': Seat belt
'326': Watermelon
'327': Billiard table
'328': Handgun
'329': Fox
'330': Blender
'331': Rose
'332': Jet ski
'333': Oyster
'334': Boy
'335': Sheep
'336': Roller skates
'337': Tomato
'338': Spatula
'339': Syringe
'340': Spice rack
'341': Aircraft
'342': Table tennis racket
'343': Flying disc
'344': Apple
'345': Banana
'346': Whale
'347': Shark
'348': Volleyball (Ball)
'349': Skateboard
'350': Pineapple
'351': Artichoke
'352': Goat
'353': Tennis racket
'354': Snowman
'355': Corded phone
'356': Drill (Tool)
'357': Tennis ball
'358': Castle
'359': Closet
'360': Loveseat
'361': Marine invertebrates
'362': Punching bag
'363': Seafood
'364': Paper towel
'365': Coffeemaker
'366': Snake
'367': Muffin
'368': Personal care
'369': Treadmill
'370': Deer
'371': Goose
'372': Duck
'373': Invertebrate
'374': Snowmobile
'375': Pitcher (Container)
'376': Cannon
'377': Tiger
'378': Cat furniture
'379': Missile
'380': Rocket
'381': Falcon
'382': Chicken
'383': Dolphin
'384': Axe
'385': Wardrobe
'386': Printer
'387': Alarm clock
'388': Wheelchair
'389': Squid
'390': Lobster
'391': Crab
'392': Hand dryer
'393': Rugby ball
- name: bbox
sequence: float32
splits:
- name: train
num_bytes: 16079880894.578
num_examples: 47631
download_size: 1722765747
dataset_size: 16079880894.578
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
andrewsiah/PersonaPromptPersonalLLM_340 | andrewsiah | "2024-08-07T20:21:00Z" | 35 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-07T20:20:58Z" | ---
dataset_info:
features:
- name: personaid_340_response_1_llama3_sfairx
dtype: float64
- name: personaid_340_response_2_llama3_sfairx
dtype: float64
- name: personaid_340_response_3_llama3_sfairx
dtype: float64
- name: personaid_340_response_4_llama3_sfairx
dtype: float64
- name: personaid_340_response_5_llama3_sfairx
dtype: float64
- name: personaid_340_response_6_llama3_sfairx
dtype: float64
- name: personaid_340_response_7_llama3_sfairx
dtype: float64
- name: personaid_340_response_8_llama3_sfairx
dtype: float64
- name: prompt
dtype: string
- name: subset
dtype: string
- name: prompt_id
dtype: int64
- name: response_1
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- name: response_1_model
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- name: response_8_model
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- name: response_2_gemma_2b
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- name: response_4_gemma_2b
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- name: response_5_gemma_2b
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- name: response_6_gemma_2b
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- name: response_7_gemma_2b
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- name: response_1_gemma_7b
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- name: response_3_gemma_7b
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- name: response_5_gemma_7b
dtype: float64
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- name: response_7_gemma_7b
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- name: response_8_gemma_7b
dtype: float64
- name: response_1_mistral_raft
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- name: response_2_mistral_raft
dtype: float64
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dtype: float64
- name: response_6_mistral_raft
dtype: float64
- name: response_7_mistral_raft
dtype: float64
- name: response_8_mistral_raft
dtype: float64
- name: response_1_mistral_ray
dtype: float64
- name: response_2_mistral_ray
dtype: float64
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dtype: float64
- name: response_4_mistral_ray
dtype: float64
- name: response_5_mistral_ray
dtype: float64
- name: response_6_mistral_ray
dtype: float64
- name: response_7_mistral_ray
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- name: response_8_mistral_ray
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- name: response_1_mistral_weqweasdas
dtype: float64
- name: response_2_mistral_weqweasdas
dtype: float64
- name: response_3_mistral_weqweasdas
dtype: float64
- name: response_4_mistral_weqweasdas
dtype: float64
- name: response_5_mistral_weqweasdas
dtype: float64
- name: response_6_mistral_weqweasdas
dtype: float64
- name: response_7_mistral_weqweasdas
dtype: float64
- name: response_8_mistral_weqweasdas
dtype: float64
- name: response_1_llama3_sfairx
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- name: response_2_llama3_sfairx
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- name: response_3_llama3_sfairx
dtype: float64
- name: response_4_llama3_sfairx
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- name: response_5_llama3_sfairx
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- name: response_6_llama3_sfairx
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- name: response_7_llama3_sfairx
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- name: response_8_llama3_sfairx
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- name: response_1_oasst_deberta_v3
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- name: response_7_oasst_pythia_7b
dtype: float64
- name: response_8_oasst_pythia_7b
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- name: response_1_oasst_pythia_1b
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
- name: response_8_oasst_pythia_1b
dtype: float64
- name: id
dtype: int64
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
splits:
- name: train
num_bytes: 32681752
num_examples: 1000
download_size: 18440841
dataset_size: 32681752
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "PersonaPromptPersonalLLM_340"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
zkdeng/spiderTraining2-5000 | zkdeng | "2024-08-08T01:01:32Z" | 35 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-08T01:00:51Z" | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Araneus_diadematus
'1': Phidippus_audax
splits:
- name: train
num_bytes: 844176775.36
num_examples: 9998
download_size: 966103356
dataset_size: 844176775.36
---
# Dataset Card for "spiderTraining2-5000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
andrewsiah/PersonaPromptPersonalLLM_409 | andrewsiah | "2024-08-08T01:12:24Z" | 35 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-08T01:12:22Z" | ---
dataset_info:
features:
- name: personaid_409_response_1_llama3_sfairx
dtype: float64
- name: personaid_409_response_2_llama3_sfairx
dtype: float64
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dtype: float64
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dtype: int64
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dtype: string
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splits:
- name: train
num_bytes: 32577752
num_examples: 1000
download_size: 18436141
dataset_size: 32577752
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "PersonaPromptPersonalLLM_409"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
andrewsiah/PersonaPromptPersonalLLM_424 | andrewsiah | "2024-08-08T02:06:19Z" | 35 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-08T02:06:18Z" | ---
dataset_info:
features:
- name: personaid_424_response_1_llama3_sfairx
dtype: float64
- name: personaid_424_response_2_llama3_sfairx
dtype: float64
- name: personaid_424_response_3_llama3_sfairx
dtype: float64
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splits:
- name: train
num_bytes: 32873752
num_examples: 1000
download_size: 18476030
dataset_size: 32873752
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "PersonaPromptPersonalLLM_424"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
andrewsiah/PersonaPromptPersonalLLM_438 | andrewsiah | "2024-08-08T02:56:41Z" | 35 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-08T02:56:39Z" | ---
dataset_info:
features:
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dtype: float64
- name: personaid_438_response_2_llama3_sfairx
dtype: float64
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dtype: float64
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dtype: float64
- name: response_4_oasst_pythia_1b
dtype: float64
- name: response_5_oasst_pythia_1b
dtype: float64
- name: response_6_oasst_pythia_1b
dtype: float64
- name: response_7_oasst_pythia_1b
dtype: float64
- name: response_8_oasst_pythia_1b
dtype: float64
- name: id
dtype: int64
- name: rformatted_promptresponse_1
dtype: string
- name: rformatted_promptresponse_2
dtype: string
- name: rformatted_promptresponse_3
dtype: string
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dtype: string
- name: rformatted_promptresponse_5
dtype: string
- name: rformatted_promptresponse_6
dtype: string
- name: rformatted_promptresponse_7
dtype: string
- name: rformatted_promptresponse_8
dtype: string
splits:
- name: train
num_bytes: 32689752
num_examples: 1000
download_size: 18441936
dataset_size: 32689752
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "PersonaPromptPersonalLLM_438"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
pmdung2711/capybara | pmdung2711 | "2024-08-08T03:38:02Z" | 35 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-08T03:37:52Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: string
splits:
- name: train
num_bytes: 2262207.0
num_examples: 8
download_size: 2263960
dataset_size: 2262207.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
RogerBarretoAiML/rogerintial1 | RogerBarretoAiML | "2024-08-08T17:42:09Z" | 35 | 0 | [
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-08T17:41:31Z" | ---
license: apache-2.0
---
|
Worzq/prototype_qg | Worzq | "2024-08-08T19:05:54Z" | 35 | 0 | [
"license:mit",
"region:us"
] | null | "2024-08-08T19:05:54Z" | ---
license: mit
---
|
Vins599/minhasvozes | Vins599 | "2024-08-08T20:00:04Z" | 35 | 0 | [
"license:openrail",
"size_categories:n<1K",
"format:audiofolder",
"modality:audio",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-08-08T19:53:46Z" | ---
license: openrail
---
|
sky1ove/ultra_sigma2 | sky1ove | "2024-08-08T22:41:13Z" | 35 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2024-08-08T22:41:13Z" | ---
license: apache-2.0
---
|
MasaFoundation/huberman_lab_Dr._Oded_Rechavi_Genes__the_Inheritance_of_Memories_Across_Generations | MasaFoundation | "2024-08-09T01:47:05Z" | 35 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-09T01:28:46Z" | ---
dataset_info:
features:
- name: speaker
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 144142
num_examples: 275
download_size: 80675
dataset_size: 144142
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
nirshmu/HebNLI | nirshmu | "2024-08-17T11:09:24Z" | 35 | 0 | [
"region:us"
] | null | "2024-08-09T12:19:56Z" | ---
dataset_info:
features:
- name: translation1
dtype: string
- name: translation2
dtype: string
splits:
- name: train
num_bytes: 2613647
num_examples: 10377
download_size: 1519861
dataset_size: 2613647
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
neoneye/simon-arc-mass-v13 | neoneye | "2024-08-09T17:33:53Z" | 35 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"language:en",
"license:mit",
"size_categories:100K<n<1M",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | [
"image-to-text",
"text-to-image"
] | "2024-08-09T17:24:31Z" | ---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) object mass version 13
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data.jsonl
---
# Version 1
Measure the mass of objects for `pixel connectivity 4` and `pixel connectivity 8`.
image size: 1-10.
max_mass: 4.
# Version 2
image size: 1-20.
max_mass: 5.
This converged too slowly. I was too optimistic. I will have to proceed slower.
# Version 3
image size: 1-12.
max_mass: 5.
Too big spikes in the training loss. I will have to lower the `max_mass`, and gradually increase it.
# Version 4
image size: 1-15.
max_mass: 2.
The validation loss for this is fine. I'm increasing the `max_mass`.
# Version 5
image size: 1-20.
max_mass: 3.
# Version 6
image size: 1-25.
max_mass: 4.
# Version 7
image size: 1-30.
max_mass: 2.
# Version 8
image size: 1-30.
max_mass: 7.
# Version 9
image size: 1-30.
max_mass: 8.
# Version 10
image size: 1-30.
max_mass: 9.
# Version 11
image size: 1-30.
max_mass: 10.
# Version 12
image size: 1-30.
max_mass: 11.
# Version 13
image size: 1-30.
max_mass: 15.
|
andrewsiah/PersonaPromptPersonalLLM_156 | andrewsiah | "2024-08-09T18:02:15Z" | 35 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-09T18:02:13Z" | ---
dataset_info:
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
- name: id
dtype: int64
- name: rformatted_promptresponse_1
dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
splits:
- name: train
num_bytes: 32513752
num_examples: 1000
download_size: 18429382
dataset_size: 32513752
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "PersonaPromptPersonalLLM_156"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
dumb-ai/gauge_test_3_rows_even_split | dumb-ai | "2024-08-10T00:50:18Z" | 35 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-09T22:30:51Z" | ---
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
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- name: height
dtype: int64
- name: objects
sequence:
- name: id
dtype: int64
- name: area
dtype: int64
- name: bbox
sequence: float32
length: 4
- name: category
dtype:
class_label:
names:
'0': gauge
splits:
- name: train
num_bytes: 945549.0
num_examples: 1
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num_bytes: 1195722.0
num_examples: 1
- name: validation
num_bytes: 1420162.0
num_examples: 1
download_size: 3569400
dataset_size: 3561433.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
|
andrewsiah/PersonaPromptPersonalLLM_256 | andrewsiah | "2024-08-10T01:41:10Z" | 35 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-08-10T01:41:08Z" | ---
dataset_info:
features:
- name: personaid_256_response_1_llama3_sfairx
dtype: float64
- name: personaid_256_response_2_llama3_sfairx
dtype: float64
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download_size: 18432343
dataset_size: 32593752
configs:
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data_files:
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path: data/train-*
---
# Dataset Card for "PersonaPromptPersonalLLM_256"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
DynamicSuperb/HEARPercussionInstrumentsClassification_BeijingOperaPercussion-Fold2 | DynamicSuperb | "2024-08-10T14:43:36Z" | 35 | 0 | [
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] | null | "2024-08-10T14:43:34Z" | ---
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---
|
MasaFoundation/huberman_lab_Dr__Adam_Grant_How_to_Unlock_Your_Potential_Motivation__Unique_Abilities | MasaFoundation | "2024-08-12T15:38:44Z" | 35 | 0 | [
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] | null | "2024-08-10T15:39:15Z" | ---
pretty_name: Dr. Adam Grant How to Unlock Your Potential Motivation Unique Abilities
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---
|
Inan404/ShaitanSing | Inan404 | "2024-08-10T20:17:55Z" | 35 | 0 | [
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---
|
lansrow/newdata | lansrow | "2024-08-11T02:24:40Z" | 35 | 0 | [
"license:mit",
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] | null | "2024-08-11T02:24:08Z" | ---
license: mit
---
|
terryyz/starcoderdata_ngram_13 | terryyz | "2024-08-12T15:13:32Z" | 35 | 0 | [
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dataset_info:
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---
|
fuguierrr/1 | fuguierrr | "2024-08-11T10:52:50Z" | 35 | 0 | [
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] | null | "2024-08-11T10:51:31Z" | ---
license: apache-2.0
---
|
yourspace/CCMTDataset | yourspace | "2024-08-11T11:35:20Z" | 35 | 0 | [
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license: apache-2.0
---
|
BorunoLeal/cadence | BorunoLeal | "2024-08-11T21:12:10Z" | 35 | 0 | [
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license: openrail
---
|
jlbaker361/caitlyn04_15_adapter | jlbaker361 | "2024-08-12T01:11:20Z" | 35 | 0 | [
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|
fkunn1326/maestro | fkunn1326 | "2024-08-11T22:30:59Z" | 35 | 0 | [
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license: cc-by-nc-sa-4.0
---
|
jlbaker361/ashe09_10_face_adapter | jlbaker361 | "2024-08-12T01:20:43Z" | 35 | 0 | [
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---
|
jlbaker361/ahri01_0_blip_diffusion | jlbaker361 | "2024-08-14T03:06:56Z" | 35 | 0 | [
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|
nehathorat-NT/t5_grammar_trained | nehathorat-NT | "2024-08-12T05:38:06Z" | 35 | 0 | [
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license: apache-2.0
---
|
NoahMartinezXiang/FERV39K | NoahMartinezXiang | "2024-08-15T13:52:18Z" | 35 | 0 | [
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] | null | "2024-08-12T19:54:02Z" | ---
license: apache-2.0
---
|
jlbaker361/new_league_data_max | jlbaker361 | "2024-08-13T01:26:36Z" | 35 | 0 | [
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---
|
NikitaKlimenkoAEC/dataset_side384_mlt_ed | NikitaKlimenkoAEC | "2024-08-13T00:41:14Z" | 35 | 0 | [
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---
|
user00144/sd1_5_korean_sumuk_lora | user00144 | "2024-08-13T04:26:21Z" | 35 | 0 | [
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license: unknown
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|
terryyz/odex_ngram_13_overlap | terryyz | "2024-08-13T03:56:54Z" | 35 | 0 | [
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|
BroderickMcDonald/SystemCard | BroderickMcDonald | "2024-08-13T08:51:30Z" | 35 | 0 | [
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] | null | "2024-08-13T08:50:58Z" | ---
license: odbl
---
|
terryyz/odex_ngram_13_overlap_6 | terryyz | "2024-08-13T10:35:27Z" | 35 | 0 | [
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dataset_info:
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terryyz/odex_ngram_13_overlap_10 | terryyz | "2024-08-13T10:35:47Z" | 35 | 0 | [
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dataset_info:
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terryyz/odex_ngram_10_overlap_3 | terryyz | "2024-08-13T15:49:30Z" | 35 | 0 | [
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dataset_info:
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|
terryyz/stackoverflow_ngram_13_overlap_8 | terryyz | "2024-08-13T17:05:30Z" | 35 | 0 | [
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dataset_info:
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|
terryyz/stackoverflow_ngram_13_overlap_32 | terryyz | "2024-08-13T18:49:04Z" | 35 | 0 | [
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|
mostafasmart/fiveClassTryAfterYoloTestValid_agument | mostafasmart | "2024-08-14T00:50:32Z" | 35 | 0 | [
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|
davidgaofc/revision_0.5prima | davidgaofc | "2024-08-14T02:31:06Z" | 35 | 0 | [
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dataset_info:
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---
|
paitron272/Cleo84 | paitron272 | "2024-08-14T05:36:26Z" | 35 | 0 | [
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] | null | "2024-08-14T05:35:03Z" | ---
license: openrail
---
|
SebastianZw/europarl_de_en_tokenized-gpt2 | SebastianZw | "2024-08-14T07:24:50Z" | 35 | 0 | [
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dataset_info:
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---
|
terryyz/starcoderdata_ngram_10_overlap_2 | terryyz | "2024-08-14T10:40:42Z" | 35 | 0 | [
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|
finalstack/wikipedia | finalstack | "2024-08-14T13:56:53Z" | 35 | 0 | [
"license:mit",
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] | null | "2024-08-14T13:56:53Z" | ---
license: mit
---
|
alihmaou/bdnb_2023-11.a_batiment_groupe_dpe_representatif_logement_89 | alihmaou | "2024-08-14T19:32:08Z" | 35 | 0 | [
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] | null | "2024-08-14T19:32:07Z" | ---
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|
terryyz/starcoderdata_ngram_10_overlap_37 | terryyz | "2024-08-15T02:25:40Z" | 35 | 0 | [
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dataset_info:
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BryanDias/andrew | BryanDias | "2024-08-15T02:50:07Z" | 35 | 0 | [
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] | null | "2024-08-15T02:48:43Z" | ---
license: openrail
---
|
zftd/communsit | zftd | "2024-08-31T06:26:30Z" | 35 | 0 | [
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license: gpl-3.0
---
|
almarinastudio/dataset37 | almarinastudio | "2024-08-15T10:25:15Z" | 35 | 0 | [
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ssmmzz/SHP | ssmmzz | "2024-08-15T11:42:24Z" | 35 | 0 | [
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] | null | "2024-08-15T11:42:21Z" | ---
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---
|
MadCodex/hypervision | MadCodex | "2024-08-15T15:40:08Z" | 35 | 0 | [
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] | null | "2024-08-15T15:40:08Z" | ---
license: mit
---
|
zs389/isic2016 | zs389 | "2024-08-15T19:44:01Z" | 35 | 0 | [
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zs389/isic2017 | zs389 | "2024-08-15T20:06:05Z" | 35 | 0 | [
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zs389/isic2018Task3Validation | zs389 | "2024-08-15T20:46:39Z" | 35 | 0 | [
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|
thatfcbguy/test-article-list | thatfcbguy | "2024-08-16T01:52:56Z" | 35 | 0 | [
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license: unknown
---
|
sippycoder/fineweb-edu | sippycoder | "2024-08-16T02:35:55Z" | 35 | 0 | [
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license: odc-by
---
|
Rofalcon/finetuning_demo3 | Rofalcon | "2024-08-16T09:51:58Z" | 35 | 0 | [
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|
Dakh/moroccan-darija-dataset | Dakh | "2024-08-17T00:08:30Z" | 35 | 0 | [
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language:
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---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
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).
## Dataset Details
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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ssmmzz/CodeUltraFeedback-standard5 | ssmmzz | "2024-08-17T07:39:09Z" | 35 | 0 | [
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] | null | "2024-08-17T07:38:33Z" | ---
dataset_info:
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configs:
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data_files:
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---
|
Jelly3000/4test | Jelly3000 | "2025-02-24T02:58:25Z" | 35 | 0 | [
"license:apache-2.0",
"size_categories:10K<n<100K",
"modality:video",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-08-17T11:33:55Z" | ---
license: apache-2.0
---
|
Subsets and Splits