id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 68.7k ⌀ | citation stringlengths 0 10.7k ⌀ | cardData null | likes int64 0 3.55k | downloads int64 0 10.1M | card stringlengths 0 1.01M |
|---|---|---|---|---|---|---|---|---|---|
Criitic/bizlang | 2023-08-20T22:30:24.000Z | [
"region:us"
] | Criitic | null | null | null | 0 | 0 | Entry not found |
ad019el/dataset_kabyle | 2023-08-29T16:52:08.000Z | [
"region:us"
] | ad019el | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: sentence_ar
dtype: string
splits:
- name: train
num_bytes: 44154966.0
num_examples: 1500
- name: test
num_bytes: 15731788.0
num_examples: 500
download_size: 58865938
dataset_size: 59886754.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "dataset_kabyle"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
longquan/llm-japanese-dataset-split_10_1 | 2023-08-20T23:51:46.000Z | [
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:ja",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | longquan | null | null | null | 1 | 0 | ---
license: cc-by-sa-4.0
task_categories:
- question-answering
language:
- ja
- en
size_categories:
- 100K<n<1M
---
|
joseloncon/Ejemplo.mini-coupier | 2023-08-20T23:55:11.000Z | [
"license:apache-2.0",
"region:us"
] | joseloncon | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
akar49/construction_site-I | 2023-08-21T00:09:38.000Z | [
"region:us"
] | akar49 | null | null | null | 0 | 0 | Entry not found |
Chikanari5633/Chikanari5633 | 2023-08-21T00:09:48.000Z | [
"region:us"
] | Chikanari5633 | null | null | null | 0 | 0 | Entry not found |
ElWapoteDev/subreddit-maau | 2023-08-21T01:56:00.000Z | [
"region:us"
] | ElWapoteDev | null | null | null | 0 | 0 | # Subreddit r/maau Dataset
This dataset contains a collection of comments and responses from the r/maau subreddit, centered around various topics and discussions. The dataset is intended to be used for natural language processing tasks, such as question-answering and dialogue generation. Each entry in the dataset consists of an instruction, context, response, and category.
## Dataset Information
- **Name:** Subreddit r/maau Dataset
- **Format:** JSON Lines
- **Size:** 5.6k entries
- **License:** [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/)
- **Language:** Spanish
## Instructions
The dataset is structured as follows:
```json
{"instruction": "instruction_text", "context": "context_text", "response": "response_text", "category": "category_name"}
```
- `instruction`: The instruction or query provided by a user in the subreddit.
- `context`: Additional context or information related to the instruction (if available).
- `response`: The response or answer to the instruction.
- `category`: The category or type of the interaction, often indicating the nature of the discussion.
## Example Entries
1. **Instruction:** "yo cuando 366 días del año"
- **Context:** ""
- **Response:** "El siguiente año es bisiesto"
- **Category:** "open_qa"
2. **Instruction:** "El siguiente año es bisiesto"
- **Context:** ""
- **Response:** "pero no este"
- **Category:** "open_qa"
3. **Instruction:** "pero no este"
- **Context:** ""
- **Response:** "Pero el reto termina el 4 de junio nor lo cual de ahuevo se suma un día"
- **Category:** "open_qa"
4. **Instruction:** "Pero el reto termina el 4 de junio nor lo cual de ahuevo se suma un día"
- **Context:** ""
- **Response:** "pero por lo general si hablas de un año te refieres a 365 días"
- **Category:** "open_qa"
5. **Instruction:** "Espera ese es scott??"
- **Context:** ""
- **Response:** "Sip ya ta viejito"
- **Category:** "open_qa"
## Potential Use Cases
- **Question-Answering:** Use the dataset to train models to answer questions based on the given instructions and contexts.
- **Dialogue Generation:** Train chatbots or dialogue systems using the dataset's conversational structure.
- **Sentiment Analysis:** Analyze the sentiment of responses in various categories.
- **Language Understanding:** Build models to understand the language used in the subreddit discussions.
## Citation
If you use this dataset in your research or projects, please consider citing it as follows:
```bibtex
@dataset{subreddit-maau-dataset,
title = {Subreddit r/maau Dataset},
author = {ElWapoteDev},
year = {2023},
publisher = {HuggingFace},
howpublished = {{https://huggingface.co/datasets/ElWapoteDev/subreddit-maau}},
}
``` |
Kokan734/Kokan734 | 2023-08-22T04:02:18.000Z | [
"region:us"
] | Kokan734 | null | null | null | 0 | 0 | Entry not found |
Konishi453/Konishi453 | 2023-08-22T04:09:32.000Z | [
"region:us"
] | Konishi453 | null | null | null | 0 | 0 | Entry not found |
saijskama41/saijskama41 | 2023-08-22T04:09:12.000Z | [
"region:us"
] | saijskama41 | null | null | null | 0 | 0 | Entry not found |
marasama/nva-fiana | 2023-08-21T00:24:50.000Z | [
"region:us"
] | marasama | null | null | null | 0 | 0 | Entry not found |
K00B404/Garbagepailkids | 2023-08-21T00:27:25.000Z | [
"license:wtfpl",
"region:us"
] | K00B404 | null | null | null | 0 | 0 | ---
license: wtfpl
---
|
tiagoblima/aligned-indigenous-language-bible | 2023-08-21T00:38:07.000Z | [
"region:us"
] | tiagoblima | null | null | null | 0 | 0 | Entry not found |
ccmsuite/dataset1 | 2023-08-21T05:03:54.000Z | [
"license:mit",
"region:us"
] | ccmsuite | null | null | null | 0 | 0 | ---
license: mit
---
|
ElWapoteDev/parquet-subreddit-maau | 2023-08-21T00:55:40.000Z | [
"region:us"
] | ElWapoteDev | null | null | null | 0 | 0 | # MAAU Subreddit Memes Dataset
## Table of Contents
- [Introduction](#introduction)
- [Dataset Description](#dataset-description)
- [Data Collection](#data-collection)
- [Dataset Structure](#dataset-structure)
- [Usage](#usage)
- [Citation](#citation)
- [Acknowledgments](#acknowledgments)
## Introduction
Welcome to the MAAU Subreddit Memes Dataset! This dataset contains a collection of comments and responses from the subreddit [r/MAAU](https://www.reddit.com/r/MAAU/). The subreddit focuses on humorous and lighthearted content, primarily centered around memes. The dataset is intended to be a valuable resource for natural language processing (NLP) tasks related to Spanish language text analysis, sentiment analysis, and meme-related research.
## Dataset Description
The MAAU Subreddit Memes Dataset is a compilation of comments and responses from the [r/MAAU](https://www.reddit.com/r/MAAU/) subreddit. The subreddit is dedicated to sharing and discussing humorous content, including memes, jokes, and satirical posts. The dataset is provided in the Parquet format, making it efficient for storage and retrieval.
## Data Collection
The dataset was collected using a Python script that fetches posts and comments from the [r/MAAU](https://www.reddit.com/r/MAAU/) subreddit. The Python script utilized the Reddit API to access the desired content. The data collection process involved retrieving a variety of comments and responses in Spanish that showcase the unique humor and style of the subreddit.
## Dataset Structure
The dataset consists of text entries representing comments and responses from the [r/MAAU](https://www.reddit.com/r/MAAU/) subreddit. Each entry is enclosed within a pair of tags `<s>` and `</s>`, denoting the beginning and end of a comment or response. Below is an example of the dataset structure:
```txt
<s>[INST] Todo, ya fallamos como especie, no hay nada que podamos hacer para detenerlo [/INST] Mejor nos extingamos</s>
<s>[INST] Awebo que ya inicie una 3ra Guerra Mundial [/INST] Ya quiero ver los COD que saldran gracias a eso </s>
<s>[INST] A m me reportaron un post por delito de odio xd era un delfn dibujando una esvstica (basado) [/INST] si bro que gracioso, apoco si tiln sigue contndonos</s>
```
The dataset is provided in the Parquet format, ensuring efficient storage and easy integration with various data processing frameworks.
## Usage
The MAAU Subreddit Memes Dataset can be used for various NLP tasks, including but not limited to:
- Sentiment analysis of meme comments.
- Humor detection and classification.
- Language generation and text generation.
- Style analysis of informal online text.
Researchers and developers are encouraged to explore and experiment with the dataset to derive insights and create innovative NLP applications.
## Citation
If you use the MAAU Subreddit Memes Dataset in your research or projects, please consider citing it as follows:
```bibtex
@dataset{maau-memes-dataset,
title = {MAAU Subreddit Memes Dataset},
author = {ElWapoteDev},
year = {2023},
publisher = {HuggingFace},
howpublished = {https://huggingface.co/datasets/ElWapoteDev/parquet-subreddit-maau},
}
```
## Acknowledgments
We would like to express our gratitude to the members of the [r/MAAU](https://www.reddit.com/r/MAAU/) subreddit for creating and sharing the content that makes this dataset possible. Additionally, we thank the HuggingFace community for their support in hosting and sharing the dataset.
---
*Disclaimer: This dataset is for research and educational purposes only. The content is generated by users of the [r/MAAU](https://www.reddit.com/r/MAAU/) subreddit and may contain humor, satire, and unconventional language. Use discretion when analyzing and interpreting the data.* |
leofto/rollie | 2023-08-21T04:28:47.000Z | [
"license:bsd",
"region:us"
] | leofto | null | null | null | 0 | 0 | ---
license: bsd
---
|
nicknochnack/guanaco-llama2-1k-addednick | 2023-08-21T01:04:25.000Z | [
"region:us"
] | nicknochnack | null | null | null | 0 | 0 | Entry not found |
Jing24/high_all_train | 2023-08-21T15:48:46.000Z | [
"region:us"
] | Jing24 | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
struct:
- name: answer_start
sequence: int64
- name: text
sequence: string
splits:
- name: train
num_bytes: 79675205
num_examples: 87599
download_size: 14372991
dataset_size: 79675205
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "high_all_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
marasama/nva-armored_trooper | 2023-08-21T01:26:40.000Z | [
"region:us"
] | marasama | null | null | null | 0 | 0 | Entry not found |
HusseinHE/Arabic_Kaggle | 2023-08-21T03:19:06.000Z | [
"region:us"
] | HusseinHE | null | null | null | 0 | 0 | |
nikhilg/docu | 2023-08-21T01:57:38.000Z | [
"region:us"
] | nikhilg | null | null | null | 0 | 0 | |
Munhy0297/ATMT | 2023-08-21T02:10:35.000Z | [
"license:apache-2.0",
"region:us"
] | Munhy0297 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
chiragshahcompass/addy | 2023-08-21T14:04:24.000Z | [
"license:artistic-2.0",
"region:us"
] | chiragshahcompass | null | null | null | 0 | 0 | ---
license: artistic-2.0
---
|
PROCESOS/id_anversoAntiguo | 2023-08-21T05:34:30.000Z | [
"license:c-uda",
"region:us"
] | PROCESOS | null | null | null | 0 | 0 | ---
license: c-uda
---
|
crystantine/sd-reactor-node | 2023-08-21T02:38:33.000Z | [
"region:us"
] | crystantine | null | null | null | 0 | 0 | # ReActor Node 0.1.1b for ComfyUI
### The Fast and Simple "roop-like" Face Swap Extension Node for ComfyUI, based on [ReActor (ex Roop-GE)](https://github.com/Gourieff/sd-webui-reactor) SD-WebUI Face Swap Extension
> This Node goes without NSFW filter (uncensored, use it on your own responsibility)
---
[**Disclaimer**](#disclaimer) | [**Installation**](#installation) | [**Usage**](#usage) | [**Troubleshooting**](#troubleshooting) | [**Updating**](#updating)
---
### Disclaimer
This software is meant to be a productive contribution to the rapidly growing AI-generated media industry. It will help artists with tasks such as animating a custom character or using the character as a model for clothing etc.
The developers of this software are aware of its possible unethical applicaitons and are committed to take preventative measures against them. We will continue to develop this project in the positive direction while adhering to law and ethics.
Users of this software are expected to use this software responsibly while abiding the local law. If face of a real person is being used, users are suggested to get consent from the concerned person and clearly mention that it is a deepfake when posting content online. **Developers and Contributors of this software are not responsible for actions of end-users.**
## Installation
[SD WebUI](#sdwebui) | [Standalone ComfyUI](#standalone)
<a name="sdwebui">If you use [AUTOMATIC1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui/) or [SD.Next](https://github.com/vladmandic/automatic)
1. Close (stop) your SD-WebUI/Comfy Server if it's running
2. (For Windows Users) Install [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/) (Community version - you need this step to build Insightface) -OR- only [VS C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) and select "Desktop Development with C++" under "Workloads -> Desktop & Mobile" -OR- if you don't want to install VS or VS C++ BT - follow [this steps (sec. I)](#insightfacebuild)
3. Go to the `extensions\sd-webui-comfyui\ComfyUI\custom_nodes`
4. Open Console or Terminal and run `git clone https://github.com/Gourieff/comfyui-reactor-node`
5. Go to the SD WebUI root folder, open Console or Terminal and run (Windows users)`.\venv\Scripts\activate` or (Linux/MacOS)`venv/bin/activate`
6. `python -m pip install -U pip`
7. `cd extensions\sd-webui-comfyui\ComfyUI\custom_nodes\comfyui-reactor-node`
8. `python install.py`
9. Please, wait until the installation process will be finished
10. Run SD WebUI and check console for the message that ReActor Node is running:
<img src="uploads/console_status_running.jpg" alt="console_status_running" width="759"/>
11. Go to the ComfyUI tab and find there ReActor Node inside the menu `image/postprocessing` or by using a search:
<img src="uploads/webui-demo.png" alt="webui-demo" width="100%"/>
<img src="uploads/search-demo.png" alt="webui-demo" width="1043"/>
12. Enjoy!
<a name="standalone">If you use Standalone [ComfyUI](https://github.com/comfyanonymous/ComfyUI) for Windows
1. Go to the `ComfyUI\custom_nodes` directory
2. Open Console and run `git clone https://github.com/Gourieff/comfyui-reactor-node`
3. Run install.bat
4. Run ComfyUI and find there ReActor Node inside the menu `image/postprocessing` or by using a search
## Usage
Just connect all required nodes and run the query
## Troubleshooting
<a name="insightfacebuild">**I. (For Windows users) If you still cannot build Insightface for some reasons or just don't want to install Visual Studio or VS C++ Build Tools - do the following:**
1. Download and put [prebuilt Insightface package](https://github.com/Gourieff/sd-webui-reactor/raw/main/example/insightface-0.7.3-cp310-cp310-win_amd64.whl) into the stable-diffusion-webui (A1111 or SD.Next) root folder (where you have "webui-user.bat" file) or into ComfyUI root folder if you use ComfyUI Portable
2. From the root folder run:
- (SD WebUI) CMD and `.\venv\Scripts\activate`
- (ComfyUI Portable) run CMD
3. Then update your PIP:
- (SD WebUI) `python -m pip install -U pip`
- (ComfyUI Portable) `python_embeded\python.exe -m pip install -U pip`
4. Then install Insightface:
- (SD WebUI) `pip install insightface-0.7.3-cp310-cp310-win_amd64.whl`
- (ComfyUI Portable) `python_embeded\python.exe -m pip install insightface-0.7.3-cp310-cp310-win_amd64.whl`
5. Enjoy!
## Updating
Just put .bat or .sh script from this [Repo](https://github.com/Gourieff/sd-webui-extensions-updater) to the `ComfyUI\custom_nodes` directory and run it when you need to check for updates
|
crystantine/facerestore | 2023-08-21T02:42:11.000Z | [
"region:us"
] | crystantine | null | null | null | 0 | 0 | Entry not found |
fouio/miyazani | 2023-08-21T02:46:59.000Z | [
"region:us"
] | fouio | null | null | null | 0 | 0 | Entry not found |
fouio/miyakuu1 | 2023-08-21T02:46:25.000Z | [
"region:us"
] | fouio | null | null | null | 0 | 0 | Entry not found |
fouio/mizufune1 | 2023-08-21T02:46:31.000Z | [
"region:us"
] | fouio | null | null | null | 0 | 0 | Entry not found |
fouio/mintrahh1 | 2023-08-21T02:46:44.000Z | [
"region:us"
] | fouio | null | null | null | 0 | 0 | Entry not found |
fouio/paskimpo9 | 2023-08-21T02:46:38.000Z | [
"region:us"
] | fouio | null | null | null | 0 | 0 | Entry not found |
bvonhornrumpa/hundreds | 2023-08-21T02:47:29.000Z | [
"license:openrail",
"region:us"
] | bvonhornrumpa | null | null | null | 0 | 0 | ---
license: openrail
---
|
emozilla/lg-f | 2023-08-21T02:48:07.000Z | [
"region:us"
] | emozilla | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: ID
dtype: int64
- name: MD5
dtype: string
- name: Title
dtype: string
- name: Author
dtype: string
- name: Series
dtype: string
- name: Edition
dtype: string
- name: Language
dtype: string
- name: Year
dtype: string
- name: Publisher
dtype: string
- name: Pages
dtype: string
- name: Identifier
dtype: string
- name: GooglebookID
dtype: string
- name: ASIN
dtype: string
- name: Coverurl
dtype: string
- name: Extension
dtype: string
- name: Filesize
dtype: int64
- name: Library
dtype: string
- name: Issue
dtype: string
- name: Locator
dtype: string
- name: Commentary
dtype: string
- name: Generic
dtype: string
- name: Visible
dtype: string
- name: TimeAdded
dtype: string
- name: TimeLastModified
dtype: string
splits:
- name: train
num_bytes: 954063185
num_examples: 2588707
download_size: 402113269
dataset_size: 954063185
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "libgen-fiction-metadata"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
emozilla/lg-nf | 2023-08-21T02:52:32.000Z | [
"region:us"
] | emozilla | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: ID
dtype: int64
- name: Title
dtype: string
- name: VolumeInfo
dtype: string
- name: Series
dtype: string
- name: Periodical
dtype: string
- name: Author
dtype: string
- name: Year
dtype: string
- name: Edition
dtype: string
- name: Publisher
dtype: string
- name: City
dtype: string
- name: Pages
dtype: string
- name: PagesInFile
dtype: int64
- name: Language
dtype: string
- name: Topic
dtype: string
- name: Library
dtype: string
- name: Issue
dtype: string
- name: Identifier
dtype: string
- name: ISSN
dtype: string
- name: ASIN
dtype: string
- name: UDC
dtype: string
- name: LBC
dtype: string
- name: DDC
dtype: string
- name: LCC
dtype: string
- name: Doi
dtype: string
- name: Googlebookid
dtype: string
- name: OpenLibraryID
dtype: string
- name: Commentary
dtype: string
- name: DPI
dtype: int64
- name: Color
dtype: string
- name: Cleaned
dtype: string
- name: Orientation
dtype: string
- name: Paginated
dtype: string
- name: Scanned
dtype: string
- name: Bookmarked
dtype: string
- name: Searchable
dtype: string
- name: Filesize
dtype: int64
- name: Extension
dtype: string
- name: MD5
dtype: string
- name: Generic
dtype: string
- name: Visible
dtype: string
- name: Locator
dtype: string
- name: Local
dtype: int64
- name: TimeAdded
dtype: string
- name: TimeLastModified
dtype: string
- name: Coverurl
dtype: string
- name: Tags
dtype: string
- name: IdentifierWODash
dtype: string
splits:
- name: train
num_bytes: 8003252615
num_examples: 13122165
download_size: 3103416293
dataset_size: 8003252615
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "libgen-nonfiction-metadata"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
ElWapoteDev/test | 2023-08-21T02:49:28.000Z | [
"region:us"
] | ElWapoteDev | null | null | null | 0 | 0 | Entry not found |
junehong/my_custom_dataset | 2023-08-21T05:52:46.000Z | [
"region:us"
] | junehong | 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: audio
dtype: string
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 7122729
num_examples: 60000
- name: test
num_bytes: 655117
num_examples: 5503
download_size: 3173503
dataset_size: 7777846
---
# Dataset Card for "my_custom_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
slikvik/test01 | 2023-08-21T02:59:42.000Z | [
"region:us"
] | slikvik | null | null | null | 0 | 0 | Entry not found |
bhjhk/samino11 | 2023-08-21T03:09:05.000Z | [
"license:bigscience-bloom-rail-1.0",
"region:us"
] | bhjhk | null | null | null | 0 | 0 | ---
license: bigscience-bloom-rail-1.0
---
|
bhjhk/pakyahya12 | 2023-08-21T03:08:50.000Z | [
"license:bigscience-bloom-rail-1.0",
"region:us"
] | bhjhk | null | null | null | 0 | 0 | ---
license: bigscience-bloom-rail-1.0
---
|
bhjhk/minus887 | 2023-08-21T03:08:42.000Z | [
"license:bigcode-openrail-m",
"region:us"
] | bhjhk | null | null | null | 0 | 0 | ---
license: bigcode-openrail-m
---
|
bhjhk/pakenanya66 | 2023-08-21T03:09:27.000Z | [
"license:cc-by-3.0",
"region:us"
] | bhjhk | null | null | null | 0 | 0 | ---
license: cc-by-3.0
---
|
bhjhk/masmamad8 | 2023-08-21T03:09:01.000Z | [
"license:creativeml-openrail-m",
"region:us"
] | bhjhk | null | null | null | 0 | 0 | ---
license: creativeml-openrail-m
---
|
RecDol/faiss_index_inference | 2023-08-21T04:57:53.000Z | [
"region:us"
] | RecDol | null | null | null | 0 | 0 | Entry not found |
presencesw/wiki_lingua | 2023-08-21T03:19:14.000Z | [
"region:us"
] | presencesw | null | null | null | 0 | 0 | Entry not found |
RecDol/PLAYLIST_inference | 2023-08-21T12:47:51.000Z | [
"region:us"
] | RecDol | null | null | null | 0 | 0 | Entry not found |
lilacai/lilac-piqa | 2023-10-05T14:03:02.000Z | [
"region:us"
] | lilacai | null | null | null | 0 | 0 | This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/lilac](https://huggingface.co/spaces/lilacai/lilac).
Original dataset: [https://huggingface.co/datasets/piqa](https://huggingface.co/datasets/piqa)
Lilac dataset config:
```namespace: lilac
name: piqa
source:
dataset_name: piqa
source_name: huggingface
embeddings:
- path: goal
embedding: gte-small
- path: sol1
embedding: gte-small
- path: sol2
embedding: gte-small
signals:
- path: goal
signal:
signal_name: near_dup
- path: goal
signal:
signal_name: pii
- path: goal
signal:
signal_name: lang_detection
- path: goal
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: goal
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: goal
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: goal
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: goal
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: goal
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: goal
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: goal
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: goal
signal:
signal_name: text_statistics
- path: sol1
signal:
signal_name: near_dup
- path: sol1
signal:
signal_name: pii
- path: sol1
signal:
signal_name: lang_detection
- path: sol1
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: sol1
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: sol1
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: sol1
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: sol1
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: sol1
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: sol1
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: sol1
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: sol1
signal:
signal_name: text_statistics
- path: sol2
signal:
signal_name: near_dup
- path: sol2
signal:
signal_name: pii
- path: sol2
signal:
signal_name: lang_detection
- path: sol2
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: sol2
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: sol2
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: sol2
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: sol2
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: sol2
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: sol2
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: sol2
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: sol2
signal:
signal_name: text_statistics
settings:
ui:
media_paths:
- sol1
- sol2
- goal
markdown_paths: []
preferred_embedding: gte-small
```
|
lilacai/lilac-science-qa-derek-thomas | 2023-10-05T14:03:05.000Z | [
"region:us"
] | lilacai | null | null | null | 0 | 0 | This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/lilac](https://huggingface.co/spaces/lilacai/lilac).
Original dataset: [https://huggingface.co/datasets/derek-thomas/ScienceQA](https://huggingface.co/datasets/derek-thomas/ScienceQA)
Lilac dataset config:
```namespace: lilac
name: science-qa-derek-thomas
source:
dataset_name: derek-thomas/ScienceQA
source_name: huggingface
embeddings:
- path: lecture
embedding: gte-small
signals:
- path: lecture
signal:
signal_name: near_dup
- path: lecture
signal:
signal_name: pii
- path: lecture
signal:
signal_name: lang_detection
- path: lecture
signal:
signal_name: text_statistics
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: lecture
signal:
embedding: gte-small
signal_name: cluster_dbscan
settings:
ui:
media_paths:
- lecture
markdown_paths: []
preferred_embedding: gte-small
```
|
pentol11/goreng | 2023-08-21T04:06:12.000Z | [
"region:us"
] | pentol11 | null | null | null | 0 | 0 | Entry not found |
tyzhu/fw_num_bi_train_1000_eval_100 | 2023-08-21T06:36:06.000Z | [
"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
splits:
- name: train
num_bytes: 225375
num_examples: 3200
- name: train_doc2id
num_bytes: 87993
num_examples: 1100
- name: train_id2doc
num_bytes: 91293
num_examples: 1100
- name: train_find_word
num_bytes: 46089
num_examples: 1000
- name: eval_find_word
num_bytes: 4723
num_examples: 100
download_size: 104282
dataset_size: 455473
---
# Dataset Card for "fw_num_bi_train_1000_eval_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
pln-udelar/fact2020 | 2023-08-21T07:17:22.000Z | [
"region:us"
] | pln-udelar | In this paper we present the second edition of the FACT shared task (Factuality Annotation and Classification
Task), included in IberLEF2020. The main objective of this task is to advance in the study of the factuality of
the events mentioned in texts. This year, the FACT task includes a subtask on event identification in addition
to the factuality classification subtask. We describe the submitted systems as well as the corpus used, which is
the same used in FACT 2019 but extended by adding annotations for nominal events. | @inproceedings{fact2020,
title = "Overview of FACT at IberLEF 2020: Events Detection and Classification",
author = "Rosa, Aiala and Chiruzzo, Luis and Wonsever, Dina and Malcuori, Marisa and Curell, Hortènsia and Castellón, Irene and Vázquez, Gloria and Fernández-Montraveta, Ana and Góngora, Santiago and Alonso, Laura",
booktitle = "Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003",
year = "2020",
url = "https://www.aclweb.org/anthology/W03-0419",
} | null | 0 | 0 | Entry not found |
lilacai/lilac-mmlu_professional_law | 2023-09-26T00:14:46.000Z | [
"region:us"
] | lilacai | null | null | null | 0 | 0 | This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/lilac](https://huggingface.co/spaces/lilacai/lilac).
Original dataset: [https://huggingface.co/datasets/cais/mmlu](https://huggingface.co/datasets/cais/mmlu)
Lilac dataset config:
```embeddings:
- embedding: gte-small
path: [choices, '*']
- {embedding: gte-small, path: question}
name: mmlu_professional_law
namespace: lilac
settings:
preferred_embedding: gte-small
ui:
media_paths:
- question
- [choices, '*']
signals:
- path: question
signal: {signal_name: text_statistics}
- path: question
signal: {signal_name: pii}
- path: question
signal: {signal_name: near_dup}
- path: [choices, '*']
signal: {signal_name: text_statistics}
- path: [choices, '*']
signal: {signal_name: spacy_ner}
- path: question
signal: {signal_name: lang_detection}
- path: [choices, '*']
signal: {signal_name: near_dup}
- path: [choices, '*']
signal: {signal_name: pii}
- path: [choices, '*']
signal: {signal_name: lang_detection}
- path: question
signal: {signal_name: spacy_ner}
- path: question
signal: {concept_name: non-english, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: question
signal: {concept_name: profanity, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: question
signal: {concept_name: source-code, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: question
signal: {concept_name: question, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: question
signal: {concept_name: toxicity, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: question
signal: {concept_name: legal-termination, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: question
signal: {concept_name: negative-sentiment, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: question
signal: {concept_name: positive-sentiment, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: [choices, '*']
signal: {concept_name: legal-termination, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: [choices, '*']
signal: {concept_name: non-english, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: [choices, '*']
signal: {concept_name: toxicity, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: [choices, '*']
signal: {concept_name: profanity, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: [choices, '*']
signal: {concept_name: question, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: [choices, '*']
signal: {concept_name: source-code, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: [choices, '*']
signal: {concept_name: positive-sentiment, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: [choices, '*']
signal: {concept_name: negative-sentiment, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
source: {config_name: professional_law, dataset_name: cais/mmlu, source_name: huggingface}
tags: [legal]
```
|
cxdfgd/makguy12 | 2023-08-21T03:52:54.000Z | [
"region:us"
] | cxdfgd | null | null | null | 0 | 0 | Entry not found |
cxdfgd/fuhhu123 | 2023-08-21T03:54:01.000Z | [
"region:us"
] | cxdfgd | null | null | null | 0 | 0 | Entry not found |
cxdfgd/padamara123 | 2023-08-21T03:53:57.000Z | [
"region:us"
] | cxdfgd | null | null | null | 0 | 0 | Entry not found |
cxdfgd/semokii8 | 2023-08-21T03:54:05.000Z | [
"region:us"
] | cxdfgd | null | null | null | 0 | 0 | Entry not found |
cxdfgd/sadewa881 | 2023-08-21T03:52:36.000Z | [
"region:us"
] | cxdfgd | null | null | null | 0 | 0 | Entry not found |
ToshaTang/YPshappo | 2023-08-21T05:20:20.000Z | [
"license:openrail",
"region:us"
] | ToshaTang | null | null | null | 1 | 0 | ---
license: openrail
---
|
vdgd/yamanu88 | 2023-08-21T03:59:58.000Z | [
"region:us"
] | vdgd | null | null | null | 0 | 0 | Entry not found |
vdgd/puspaau7 | 2023-08-21T04:00:08.000Z | [
"region:us"
] | vdgd | null | null | null | 0 | 0 | Entry not found |
vdgd/manna87 | 2023-08-21T04:01:07.000Z | [
"region:us"
] | vdgd | null | null | null | 0 | 0 | Entry not found |
vdgd/sakiyu887 | 2023-08-21T04:01:05.000Z | [
"region:us"
] | vdgd | null | null | null | 0 | 0 | Entry not found |
vdgd/sedekah877 | 2023-08-21T04:01:40.000Z | [
"region:us"
] | vdgd | null | null | null | 0 | 0 | Entry not found |
mHossain/merge_new_para_detection_data_v4 | 2023-08-21T03:59:55.000Z | [
"region:us"
] | mHossain | 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: 'Unnamed: 0'
dtype: int64
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 9374410.8
num_examples: 54000
- name: test
num_bytes: 1041601.2
num_examples: 6000
download_size: 4724664
dataset_size: 10416012.0
---
# Dataset Card for "merge_new_para_detection_data_v4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
tyzhu/fw_bi_train_10000_eval_100 | 2023-08-21T04:00:37.000Z | [
"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-*
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train
num_bytes: 2135417
num_examples: 30200
- name: eval_find_word
num_bytes: 4823
num_examples: 100
download_size: 930254
dataset_size: 2140240
---
# Dataset Card for "fw_bi_train_10000_eval_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
tiendung/cc-vi_domains | 2023-09-21T02:19:00.000Z | [
"region:us"
] | tiendung | null | null | null | 0 | 0 | # Thống kê dữ liệu và số urls (chưa dedup) theo domains
Để tổng hợp dữ liệu và url dedup cho từng domain dùng lệnh
`xzcat */*/*keyword*.jsonl.xz | python3 url_dedup_stdin.py`
```
9948mb 413k 2023 http://quangduc.com
7592mb 312k 2023 http://thuvienhoasen.org
5966mb 135k 2023 http://tangthuphathoc.net
5310mb 1312k 2023 http://rongmotamhon.net
45331mb 3889k 2023 http://tailieu.vn
14118mb 1012k 2023 http://vi.wikipedia.org
11109mb 3494k 2023 http://baomoi.com
10035mb 22k 2018 http://kiemhiepthuvien.forumsmusic.com
9692mb 2230k 2023 http://eva.vn
...
```
Xem bản đầy đủ ở `cc_domain_stats.txt.gz`
|
tyzhu/fw_bi_num_train_10000_eval_100 | 2023-08-21T04:02:35.000Z | [
"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-*
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train
num_bytes: 2135417
num_examples: 30200
- name: eval_find_word
num_bytes: 4823
num_examples: 100
download_size: 930254
dataset_size: 2140240
---
# Dataset Card for "fw_bi_num_train_10000_eval_100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
weer4354/mieasin | 2023-08-21T04:06:46.000Z | [
"region:us"
] | weer4354 | null | null | null | 0 | 0 | Entry not found |
lilacai/lilac-pile-of-law-r-legaladvice | 2023-09-26T00:14:50.000Z | [
"region:us"
] | lilacai | null | null | null | 0 | 0 | This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/lilac](https://huggingface.co/spaces/lilacai/lilac).
Original dataset: [https://huggingface.co/datasets/pile-of-law/pile-of-law](https://huggingface.co/datasets/pile-of-law/pile-of-law)
Lilac dataset config:
```embeddings:
- {embedding: gte-small, path: text}
name: pile-of-law-r-legaladvice
namespace: lilac
settings:
preferred_embedding: gte-small
ui:
media_paths: [text]
signals:
- path: text
signal: {signal_name: near_dup}
- path: text
signal: {signal_name: text_statistics}
- path: text
signal: {signal_name: pii}
- path: text
signal: {signal_name: lang_detection}
- path: text
signal: {signal_name: spacy_ner}
- path: text
signal: {concept_name: positive-sentiment, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: text
signal: {concept_name: toxicity, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: text
signal: {concept_name: non-english, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: text
signal: {concept_name: negative-sentiment, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: text
signal: {concept_name: profanity, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: text
signal: {concept_name: source-code, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: text
signal: {concept_name: legal-termination, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: text
signal: {concept_name: question, embedding: gte-small, namespace: lilac, signal_name: concept_score}
source: {config_name: r_legaladvice, dataset_name: pile-of-law/pile-of-law, source_name: huggingface}
tags: [legal]
```
|
fkjh5/miemanis | 2023-08-21T04:06:47.000Z | [
"region:us"
] | fkjh5 | null | null | null | 0 | 0 | Entry not found |
dfgyty4/miesedap | 2023-08-21T04:06:45.000Z | [
"region:us"
] | dfgyty4 | null | null | null | 0 | 0 | Entry not found |
sadsa65/miepedas | 2023-08-21T04:06:47.000Z | [
"region:us"
] | sadsa65 | null | null | null | 0 | 0 | Entry not found |
rytryg/miegurih | 2023-08-21T04:06:46.000Z | [
"region:us"
] | rytryg | null | null | null | 0 | 0 | Entry not found |
EgilKarlsen/Application_125K | 2023-08-21T04:14:51.000Z | [
"region:us"
] | EgilKarlsen | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: log
dtype: string
splits:
- name: train
num_bytes: 35303437
num_examples: 112500
- name: validation
num_bytes: 3955784
num_examples: 12500
download_size: 7689105
dataset_size: 39259221
---
# Dataset Card for "Application_125K"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
whlzy/SP | 2023-08-24T16:52:41.000Z | [
"region:us"
] | whlzy | null | null | null | 0 | 0 | Entry not found |
whlzy/U | 2023-08-24T06:43:56.000Z | [
"region:us"
] | whlzy | null | null | null | 0 | 0 | Entry not found |
whlzy/V | 2023-08-24T06:43:50.000Z | [
"region:us"
] | whlzy | null | null | null | 0 | 0 | Entry not found |
luscanodev/rvcmodelsbylexp | 2023-08-21T04:30:53.000Z | [
"region:us"
] | luscanodev | null | null | null | 0 | 0 | Entry not found |
lilacai/lilac-open-asssistant-conversations | 2023-10-05T14:03:13.000Z | [
"region:us"
] | lilacai | null | null | null | 0 | 0 | This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/lilac](https://huggingface.co/spaces/lilacai/lilac).
Original dataset: [https://huggingface.co/datasets/OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1)
Lilac dataset config:
```namespace: lilac
name: open-asssistant-conversations
source:
dataset_name: OpenAssistant/oasst1
source_name: huggingface
embeddings:
- path: text
embedding: gte-small
signals:
- path: text
signal:
signal_name: near_dup
- path: text
signal:
signal_name: pii
- path: text
signal:
signal_name: lang_detection
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: text
signal:
signal_name: text_statistics
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: text
signal:
embedding: gte-small
signal_name: cluster_dbscan
settings:
ui:
media_paths:
- text
markdown_paths: []
preferred_embedding: gte-small
```
|
lilacai/lilac-squad_v2 | 2023-09-26T00:14:56.000Z | [
"region:us"
] | lilacai | null | null | null | 0 | 0 | This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/lilac](https://huggingface.co/spaces/lilacai/lilac).
Original dataset: [https://huggingface.co/datasets/squad_v2](https://huggingface.co/datasets/squad_v2)
Lilac dataset config:
```embeddings:
- {embedding: gte-small, path: context}
name: squad_v2
namespace: local
settings:
preferred_embedding: gte-small
ui:
media_paths:
- context
- question
- [answers, text, '*']
signals:
- path: context
signal: {signal_name: text_statistics}
- path: context
signal: {signal_name: pii}
- path: context
signal: {signal_name: near_dup}
- path: question
signal: {signal_name: spacy_ner}
- path: question
signal: {signal_name: pii}
- path: [answers, text, '*']
signal: {signal_name: pii}
- path: [answers, text, '*']
signal: {signal_name: spacy_ner}
- path: [answers, text, '*']
signal: {signal_name: near_dup}
- path: context
signal: {signal_name: lang_detection}
- path: [answers, text, '*']
signal: {signal_name: lang_detection}
- path: question
signal: {signal_name: near_dup}
- path: question
signal: {signal_name: lang_detection}
- path: [answers, text, '*']
signal: {signal_name: text_statistics}
- path: question
signal: {signal_name: text_statistics}
- path: context
signal: {signal_name: spacy_ner}
- path: context
signal: {concept_name: question, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: context
signal: {concept_name: non-english, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: context
signal: {concept_name: positive-sentiment, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: context
signal: {concept_name: negative-sentiment, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: context
signal: {concept_name: legal-termination, embedding: gte-small, namespace: lilac,
signal_name: concept_score}
- path: context
signal: {concept_name: source-code, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: context
signal: {concept_name: toxicity, embedding: gte-small, namespace: lilac, signal_name: concept_score}
- path: context
signal: {concept_name: profanity, embedding: gte-small, namespace: lilac, signal_name: concept_score}
source: {dataset_name: squad_v2, source_name: huggingface}
tags: [machine-learning]
```
|
lilacai/lilac-imdb | 2023-10-05T14:03:16.000Z | [
"region:us"
] | lilacai | null | null | null | 0 | 0 | This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/lilac](https://huggingface.co/spaces/lilacai/lilac).
Original dataset: [https://huggingface.co/datasets/imdb](https://huggingface.co/datasets/imdb)
Lilac dataset config:
```namespace: lilac
name: imdb
source:
dataset_name: imdb
source_name: huggingface
embeddings:
- path: text
embedding: gte-small
signals:
- path: text
signal:
signal_name: near_dup
- path: text
signal:
signal_name: pii
- path: text
signal:
signal_name: lang_detection
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: text
signal:
signal_name: text_statistics
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: text
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: text
signal:
embedding: gte-small
signal_name: cluster_dbscan
settings:
ui:
media_paths:
- text
markdown_paths: []
preferred_embedding: gte-small
```
|
lilacai/lilac-databricks-dolly-15k-curated-en | 2023-10-05T14:03:21.000Z | [
"region:us"
] | lilacai | null | null | null | 0 | 0 | This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/lilac](https://huggingface.co/spaces/lilacai/lilac).
Original dataset: [https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
Lilac dataset config:
```namespace: lilac
name: databricks-dolly-15k-curated-en
source:
dataset_name: argilla/databricks-dolly-15k-curated-en
source_name: huggingface
embeddings:
- path: original-context
embedding: gte-small
- path:
- new-context
- value
- '*'
embedding: gte-small
signals:
- path: original-instruction
signal:
signal_name: near_dup
- path: original-instruction
signal:
signal_name: pii
- path: original-instruction
signal:
signal_name: lang_detection
- path: original-instruction
signal:
signal_name: text_statistics
- path: original-context
signal:
signal_name: near_dup
- path: original-context
signal:
signal_name: pii
- path: original-context
signal:
signal_name: lang_detection
- path: original-context
signal:
signal_name: text_statistics
- path: original-response
signal:
signal_name: near_dup
- path: original-response
signal:
signal_name: pii
- path: original-response
signal:
signal_name: lang_detection
- path: original-response
signal:
signal_name: text_statistics
- path:
- new-instruction
- value
- '*'
signal:
signal_name: near_dup
- path:
- new-instruction
- value
- '*'
signal:
signal_name: pii
- path:
- new-instruction
- value
- '*'
signal:
signal_name: lang_detection
- path:
- new-instruction
- value
- '*'
signal:
signal_name: text_statistics
- path:
- new-context
- value
- '*'
signal:
signal_name: near_dup
- path:
- new-context
- value
- '*'
signal:
signal_name: pii
- path:
- new-context
- value
- '*'
signal:
signal_name: lang_detection
- path:
- new-context
- value
- '*'
signal:
signal_name: text_statistics
- path:
- new-response
- value
- '*'
signal:
signal_name: near_dup
- path:
- new-response
- value
- '*'
signal:
signal_name: pii
- path:
- new-response
- value
- '*'
signal:
signal_name: lang_detection
- path:
- new-response
- value
- '*'
signal:
signal_name: text_statistics
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path:
- new-context
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path:
- new-context
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path:
- new-context
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path:
- new-context
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path:
- new-context
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path:
- new-context
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path:
- new-context
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path:
- new-context
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: original-response
signal:
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- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
signal_name: cluster_dbscan
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: original-instruction
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path: original-context
signal:
embedding: gte-small
signal_name: cluster_dbscan
- path: original-response
signal:
embedding: gte-small
signal_name: cluster_dbscan
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path: original-response
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
signal_name: cluster_dbscan
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path:
- new-instruction
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
- path:
- new-context
- value
- '*'
signal:
embedding: gte-small
signal_name: cluster_dbscan
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
signal_name: cluster_dbscan
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: legal-termination
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: negative-sentiment
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: non-english
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: positive-sentiment
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: profanity
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: question
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: source-code
signal_name: concept_score
- path:
- new-response
- value
- '*'
signal:
embedding: gte-small
namespace: lilac
concept_name: toxicity
signal_name: concept_score
settings:
ui:
media_paths:
- original-instruction
- original-context
- original-response
- - new-instruction
- value
- '*'
- - new-context
- value
- '*'
- - new-response
- value
- '*'
markdown_paths: []
preferred_embedding: gte-small
```
|
xidol/Others | 2023-08-23T02:42:22.000Z | [
"region:us"
] | xidol | null | null | null | 0 | 0 | Entry not found |
dwret/cacaoo8 | 2023-08-21T05:02:25.000Z | [
"license:creativeml-openrail-m",
"region:us"
] | dwret | null | null | null | 0 | 0 | ---
license: creativeml-openrail-m
---
|
gwj/tuoma | 2023-08-21T05:15:47.000Z | [
"region:us"
] | gwj | null | null | null | 0 | 0 | Entry not found |
lilacai/lilac-opus100-en-us-validation | 2023-08-21T20:26:10.000Z | [
"region:us"
] | lilacai | null | null | null | 0 | 0 | This dataset is generated by [Lilac](http://lilacml.com) for a HuggingFace Space: [huggingface.co/spaces/lilacai/lilac](https://huggingface.co/spaces/lilacai/lilac).
Original dataset: [https://huggingface.co/datasets/opus100](https://huggingface.co/datasets/opus100)
Lilac dataset config:
```embeddings:
- embedding: gte-small
path: [translation, en]
- embedding: gte-small
path: [translation, es]
name: opus100-en-us-validation
namespace: lilac
settings:
preferred_embedding: gte-small
ui:
media_paths:
- [translation, es]
- [translation, en]
signals:
- path: [translation, es]
signal: {signal_name: near_dup}
- path: [translation, es]
signal: {signal_name: pii}
- path: [translation, es]
signal: {signal_name: lang_detection}
- path: [translation, es]
signal: {signal_name: text_statistics}
- path: [translation, en]
signal: {signal_name: near_dup}
- path: [translation, en]
signal: {signal_name: text_statistics}
- path: [translation, en]
signal: {signal_name: pii}
- path: [translation, en]
signal: {signal_name: lang_detection}
source: {config_name: en-es, dataset_name: opus100, source_name: huggingface, split: validation}
tags: [machine-learning]
```
|
EgilKarlsen/AA_DistilRoBERTa_Final | 2023-08-21T05:23:03.000Z | [
"region:us"
] | EgilKarlsen | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
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dtype: float32
- name: '1'
dtype: float32
- name: '2'
dtype: float32
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splits:
- name: train
num_bytes: 80318780.21618997
num_examples: 26057
- name: test
num_bytes: 26774087.073587257
num_examples: 8686
download_size: 147167865
dataset_size: 107092867.28977722
---
# Dataset Card for "AA_DistilRoBERTa_Final"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yardeny/tokenized_gpt2_dataset | 2023-08-21T08:23:11.000Z | [
"region:us"
] | yardeny | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 16291456129
num_examples: 80462898
download_size: 7056135272
dataset_size: 16291456129
---
# Dataset Card for "tokenized_gpt2_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
PedroNicolas/mini_croupier | 2023-08-21T06:05:07.000Z | [
"region:us"
] | PedroNicolas | null | null | null | 0 | 0 | Entry not found |
PROCESOS/id_anversoNuevo | 2023-08-21T06:14:43.000Z | [
"license:c-uda",
"region:us"
] | PROCESOS | null | null | null | 0 | 0 | ---
license: c-uda
---
|
mHossain/merge_new_para_detection_data_v5 | 2023-08-21T06:33:05.000Z | [
"region:us"
] | mHossain | 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: 'Unnamed: 0'
dtype: int64
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 8837101.8
num_examples: 50400
- name: test
num_bytes: 981900.2
num_examples: 5600
download_size: 4451360
dataset_size: 9819002.0
---
# Dataset Card for "merge_new_para_detection_data_v5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Viktor03/ValeriyBarinov | 2023-09-21T18:57:31.000Z | [
"license:openrail",
"region:us"
] | Viktor03 | null | null | null | 0 | 0 | ---
license: openrail
---
|
getrevoltcbdgummies/RevoltCBDGummies | 2023-08-21T06:58:34.000Z | [
"region:us"
] | getrevoltcbdgummies | null | null | null | 0 | 0 | [Revolt CBD Gummies](https://groups.google.com/g/revolt-cbd-gummies-shark-tank/c/dLaSdC9xAW8) is a natural emerging formula that is one remedy for various health problems. It actually works towards fighting obesity very naturally and easily. A very herbal approach towards wellness, the supplement for fighting diabetes and unidentifiable diseases is indeed very worthwhile. The greatest and amazing outcomes are helping the product to receive significant attention. You should also choose the delightful gummy for therapeutic benefits. It has certain compounds that work together to improve the total health of the user. Choose this Health stimulating option and you will never have to look back to anxiety, poor health and depression.
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StofEzz/cleaned_elderly_CV | 2023-08-21T07:03:23.000Z | [
"region:us"
] | StofEzz | 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: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 882678219.0
num_examples: 21000
- name: test
num_bytes: 8944629.0
num_examples: 211
download_size: 877792381
dataset_size: 891622848.0
---
# Dataset Card for "cleaned_elderly_CV"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Ajitava/go_emotions_single_label | 2023-08-21T07:23:45.000Z | [
"license:mit",
"region:us"
] | Ajitava | null | null | null | 0 | 0 | ---
license: mit
---
This is a Single label emotion classification dataset based on go emotion parameters.
This dataset was labeled by a team of 12 engineers (custom marked label).
This dataset also shows the evaluation result for 3 models viz. Roberta, Bert Cased, and Bert Uncased on this dataset. |
jasonkstevens/pippa-llama2-chat | 2023-08-21T07:27:16.000Z | [
"license:agpl-3.0",
"region:us"
] | jasonkstevens | null | null | null | 1 | 0 | ---
license: agpl-3.0
---
|
Ajitava/go_emotions_multi_label | 2023-08-21T07:22:49.000Z | [
"license:mit",
"region:us"
] | Ajitava | null | null | null | 0 | 0 | ---
license: mit
---
This is a dataset for multilabel emotion classification based on go emotion parameters.
This dataset was labeled by a team of 12 engineers (custom marked label).
This dataset also shows the evaluation result for 3 models viz. Roberta, Bert Cased, and Bert Uncased on this dataset. |
e-mohammadii/fanap-test | 2023-08-21T08:46:12.000Z | [
"region:us"
] | e-mohammadii | null | null | null | 0 | 0 | <head><link rel="stylesheet" href="https://huggingface.co/front/build/kube-91c9610/style.css"></head>
<div class="container mt-4"><div class="prose"><p>Edit this <code>README.md</code> markdown file to author your organization card 🔥</p>
</div></div> |
botp/TigerResearch-pretrain_zh | 2023-08-21T07:39:09.000Z | [
"region:us"
] | botp | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: dataType
dtype: string
- name: title
dtype: string
- name: content
dtype: string
- name: uniqueKey
dtype: string
- name: titleUkey
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 58043923125
num_examples: 16905023
download_size: 25662051889
dataset_size: 58043923125
duplicated_from: TigerResearch/pretrain_zh
---
# Dataset Card for "pretrain_zh"
[Tigerbot](https://github.com/TigerResearch/TigerBot) pretrain数据的中文部分。
包含(未压缩前) 中文书籍zh-books 12G, 中文互联网zh-webtext 25G, 中文百科zh-wiki 19G
更多语料请关注开源模型及持续更新 [https://github.com/TigerResearch/TigerBot](https://github.com/TigerResearch/TigerBot)
<p align="center" width="40%">
</p>
## Usage
```python
import datasets
ds_sft = datasets.load_dataset('TigerResearch/pretrain_zh')
``` |
chanelcolgate/tumorsbrain | 2023-08-21T07:48:23.000Z | [
"region:us"
] | chanelcolgate | Training image sets and labels/bounding box coordinates for detecting brain
tumors in MR images.
- The datasets JPGs exported at their native size and are separated by plan
(Axial, Coronal and Sagittal).
- Tumors were hand labeled using https://makesense.ai
- Bounding box coordinates and MGMT positive labels were marked on ~400 images
for each plane in the T1wCE series from the RSNA-MICCAI competition data. | null | null | 0 | 0 | ---
dataset_info:
features:
- name: image
dtype: image
- name: image_id
dtype: int64
- name: objects
sequence:
- name: id
dtype: int64
- name: area
dtype: float64
- name: bbox
sequence: float32
length: 4
- name: label
dtype:
class_label:
names:
'0': negative
'1': positive
- name: iscrowd
dtype: bool
splits:
- name: train
num_bytes: 11482275
num_examples: 893
- name: test
num_bytes: 2794404
num_examples: 223
download_size: 12628405
dataset_size: 14276679
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
Kagou/emopia | 2023-08-21T07:55:15.000Z | [
"license:other",
"region:us"
] | Kagou | null | null | null | 0 | 0 | ---
license: other
---
|
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