id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 6.67k ⌀ | citation stringlengths 0 10.7k ⌀ | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|
sunhaozhepy/sst_keywords_embeddings | 2023-11-02T08:25:35.000Z | [
"region:us"
] | sunhaozhepy | null | null | 0 | 0 | 2023-11-02T08:25:28 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: sentence
dtype: string
- name: label
dtype: float32
- name: tokens
dtype: string
- name: tree
dtype: string
- name: keywords
dtype: string
- name: keywords_embeddings
sequence: float32
splits:
- name: train
num_bytes: 29449976
num_examples: 8544
- name: validation
num_bytes: 3798043
num_examples: 1101
- name: test
num_bytes: 7617749
num_examples: 2210
download_size: 47140795
dataset_size: 40865768
---
# Dataset Card for "sst_keywords_embeddings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 866 | [
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TrainingDataPro/computed-tomography-ct-of-the-abdomen | 2023-11-02T08:31:10.000Z | [
"task_categories:image-classification",
"task_categories:image-to-image",
"task_categories:image-segmentation",
"language:en",
"license:cc-by-nc-nd-4.0",
"medical",
"code",
"region:us"
] | TrainingDataPro | null | null | 0 | 0 | 2023-11-02T08:26:37 | ---
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
- image-to-image
- image-segmentation
language:
- en
tags:
- medical
- code
---
# Computed Tomography (CT) of the Chest
The dataset contains a collection of CT (Computed Tomography) Abdomen scans in both **.jpg and .dcm** (DICOM) formats. These scans are used to capture detailed images of the abdominal region, providing insights into various **abdominal conditions and abnormalities**.
### Types of diseases and conditions in the dataset:
- **Abdominal aorta dilatation**
- **Aneurysmal dilatation of aorta**
- **Aortic aneurysm**
- **Cancer**
- **Formation of adrenal gland**
- **Kidney development**
- **Liver formation**
- **Urolithiasis**
- **Vertebral compression fracture**
The dataset provides a comprehensive dataset to study and develop algorithms or models for **automatic detection, classification, and treatment of various abdominal conditions and abnormalities**.
# Get the Dataset
## This is just an example of the data
Leave a request on [https://trainingdata.pro/data-market](https://trainingdata.pro/data-market/abdomen-pelvis-ct?utm_source=huggingface&utm_medium=cpc&utm_campaign=ct-of-the-abdomen) to discuss your requirements, learn about the price and buy the dataset
# Content
### The folder "files" includes 9 folders:
- corresponding to name of the disease and including ct scans of people with this disease (**abdominal aorta dilatation, aneurysmal dilatation of aorta, aortic aneurysm, cancer, formation of adrenal gland, kidney development, liver formation, urolithiasis and vertebral compression fracture**)
- including scans in 2 different formats: **.jpg and .dcm**.
### File with the extension .csv includes the following information for each media file:
- **dcm**: link to access the .dcm file,
- **jpg**: link to access the .jpg file,
- **type**: name of the disease on the ct
# Medical data might be collected in accordance with your requirements.
## [TrainingData](https://trainingdata.pro/data-market/abdomen-pelvis-ct?utm_source=huggingface&utm_medium=cpc&utm_campaign=ct-of-the-abdomen) provides high-quality data annotation tailored to your needs
More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
TrainingData's GitHub: **https://github.com/trainingdata-pro**
*keywords: ct abdomen scans, ct abdomen classification, ct abdomen detection, abdominal aorta dilatation, aneurysmal dilatation of aorta, aortic aneurysm, cancer dataset, formation of adrenal gland dataset, kidney development dataset, liver formation, urolithiasis, vertebral compression fracture, cancer detection, cancer segmentation, cancer classification, liver formation dataset* | 2,914 | [
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eunbinni/ola_llama2_13B_t0_data | 2023-11-02T08:31:04.000Z | [
"region:us"
] | eunbinni | null | null | 0 | 0 | 2023-11-02T08:30:16 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1488820093
num_examples: 1185577
download_size: 856591874
dataset_size: 1488820093
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ola_llama2_13B_t0_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 582 | [
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robotflow/rftrans | 2023-11-02T09:32:11.000Z | [
"license:mit",
"region:us"
] | robotflow | null | null | 0 | 0 | 2023-11-02T08:36:13 | ---
license: mit
---
This repo contains the dataset used in RFTrans, generated by the [Data Generator](https://github.com/LJY-XCX/Unity-RefractiveFlowRender), powered by [RFUniverse](https://github.com/mvig-robotflow/rfuniverse).
`train.zip` contains the required data used for train the networks. `intermediate.zip` contains the intermediate results during the data generation process, including ir images and gray-coded images.
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HerlambangHaryo/jobtitle-jobindustry | 2023-11-02T08:36:53.000Z | [
"region:us"
] | HerlambangHaryo | null | null | 0 | 0 | 2023-11-02T08:36:53 | Entry not found | 15 | [
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HerlambangHaryo/jobtitle-company | 2023-11-02T08:37:53.000Z | [
"region:us"
] | HerlambangHaryo | null | null | 0 | 0 | 2023-11-02T08:37:53 | Entry not found | 15 | [
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HerlambangHaryo/jobtitle-technicalskill | 2023-11-02T08:39:05.000Z | [
"region:us"
] | HerlambangHaryo | null | null | 0 | 0 | 2023-11-02T08:39:04 | Entry not found | 15 | [
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HerlambangHaryo/jobtitle-countryplacement | 2023-11-02T08:39:29.000Z | [
"region:us"
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HerlambangHaryo/jobtitle-cityplacement | 2023-11-02T08:39:45.000Z | [
"region:us"
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HerlambangHaryo/jobtitle-subdistrictplacement | 2023-11-02T08:41:32.000Z | [
"region:us"
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HerlambangHaryo/jobtitle-villageplacement | 2023-11-02T08:41:47.000Z | [
"region:us"
] | HerlambangHaryo | null | null | 0 | 0 | 2023-11-02T08:41:47 | Entry not found | 15 | [
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HerlambangHaryo/jobtitle-regionplacement | 2023-11-02T08:42:33.000Z | [
"region:us"
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HerlambangHaryo/jobtitle-areaplacement | 2023-11-02T08:43:03.000Z | [
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HerlambangHaryo/jobtitle-islandplacement | 2023-11-02T08:43:13.000Z | [
"region:us"
] | HerlambangHaryo | null | null | 0 | 0 | 2023-11-02T08:43:13 | Entry not found | 15 | [
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HerlambangHaryo/jobtitle-buildingplacement | 2023-11-02T08:43:35.000Z | [
"region:us"
] | HerlambangHaryo | null | null | 0 | 0 | 2023-11-02T08:43:35 | Entry not found | 15 | [
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mesolitica/instructions-dataset | 2023-11-02T08:45:48.000Z | [
"region:us"
] | mesolitica | null | null | 0 | 0 | 2023-11-02T08:44:21 | Entry not found | 15 | [
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HerlambangHaryo/jobtitle-employmentstatus | 2023-11-02T08:45:16.000Z | [
"region:us"
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HerlambangHaryo/jobtitle-jobcategory | 2023-11-02T08:45:40.000Z | [
"region:us"
] | HerlambangHaryo | null | null | 0 | 0 | 2023-11-02T08:45:40 | Entry not found | 15 | [
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HerlambangHaryo/jobtitle-minimumexperience | 2023-11-02T08:45:58.000Z | [
"region:us"
] | HerlambangHaryo | null | null | 0 | 0 | 2023-11-02T08:45:58 | Entry not found | 15 | [
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HerlambangHaryo/jobtitle-jobdescription | 2023-11-02T08:46:30.000Z | [
"region:us"
] | HerlambangHaryo | null | null | 0 | 0 | 2023-11-02T08:46:30 | Entry not found | 15 | [
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HerlambangHaryo/jobtitle-workmethod | 2023-11-02T12:43:11.000Z | [
"region:us"
] | HerlambangHaryo | null | null | 0 | 0 | 2023-11-02T08:46:59 | Entry not found | 15 | [
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hanifabdlh/quac-lamini-instruction-indo-1200k-1220k | 2023-11-02T08:53:24.000Z | [
"region:us"
] | hanifabdlh | null | null | 0 | 0 | 2023-11-02T08:53:22 | ---
dataset_info:
features:
- name: context
dtype: string
- name: instruction
dtype: string
- name: response
dtype: string
- name: instruction_source
dtype: string
splits:
- name: train
num_bytes: 9946148
num_examples: 20000
download_size: 5669787
dataset_size: 9946148
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "quac-lamini-instruction-indo-1200k-1220k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 596 | [
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innat/HMDB51 | 2023-11-02T11:27:15.000Z | [
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] | innat | null | null | 0 | 0 | 2023-11-02T09:06:41 | Entry not found | 15 | [
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HuggingFaceTB/eval_data | 2023-11-02T15:14:09.000Z | [
"region:us"
] | HuggingFaceTB | null | null | 0 | 0 | 2023-11-02T09:07:00 | Entry not found | 15 | [
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fruk19/ptvn_sum_ie_track0 | 2023-11-02T09:29:52.000Z | [
"region:us"
] | fruk19 | null | null | 0 | 0 | 2023-11-02T09:29:28 | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 118858253.0
num_examples: 307
- name: test
num_bytes: 45734417.0
num_examples: 115
download_size: 152081038
dataset_size: 164592670.0
---
# Dataset Card for "ptvn_sum_ie_track0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 473 | [
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] |
sunhaozhepy/ag_news_keywords_embeddings | 2023-11-02T09:37:58.000Z | [
"region:us"
] | sunhaozhepy | null | null | 0 | 0 | 2023-11-02T09:37:36 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': World
'1': Sports
'2': Business
'3': Sci/Tech
- name: keywords
dtype: string
- name: keywords_embeddings
sequence: float32
splits:
- name: train
num_bytes: 404285730
num_examples: 120000
- name: test
num_bytes: 25596494
num_examples: 7600
download_size: 493524393
dataset_size: 429882224
---
# Dataset Card for "ag_news_keywords_embeddings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 804 | [
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BangumiBase/saenaiheroinenosodatekata | 2023-11-02T11:33:20.000Z | [
"size_categories:1K<n<10K",
"license:mit",
"art",
"region:us"
] | BangumiBase | null | null | 0 | 0 | 2023-11-02T09:37:52 | ---
license: mit
tags:
- art
size_categories:
- 1K<n<10K
---
# Bangumi Image Base of Saenai Heroine No Sodatekata
This is the image base of bangumi Saenai Heroine no Sodatekata, we detected 26 characters, 3436 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the characters' preview:
| # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 |
|:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|
| 0 | 195 | [Download](0/dataset.zip) |  |  |  |  |  |  |  |  |
| 1 | 982 | [Download](1/dataset.zip) |  |  |  |  |  |  |  |  |
| 2 | 77 | [Download](2/dataset.zip) |  |  |  |  |  |  |  |  |
| 3 | 24 | [Download](3/dataset.zip) |  |  |  |  |  |  |  |  |
| 4 | 23 | [Download](4/dataset.zip) |  |  |  |  |  |  |  |  |
| 5 | 14 | [Download](5/dataset.zip) |  |  |  |  |  |  |  |  |
| 6 | 126 | [Download](6/dataset.zip) |  |  |  |  |  |  |  |  |
| 7 | 411 | [Download](7/dataset.zip) |  |  |  |  |  |  |  |  |
| 8 | 35 | [Download](8/dataset.zip) |  |  |  |  |  |  |  |  |
| 9 | 84 | [Download](9/dataset.zip) |  |  |  |  |  |  |  |  |
| 10 | 137 | [Download](10/dataset.zip) |  |  |  |  |  |  |  |  |
| 11 | 269 | [Download](11/dataset.zip) |  |  |  |  |  |  |  |  |
| 12 | 21 | [Download](12/dataset.zip) |  |  |  |  |  |  |  |  |
| 13 | 75 | [Download](13/dataset.zip) |  |  |  |  |  |  |  |  |
| 14 | 15 | [Download](14/dataset.zip) |  |  |  |  |  |  |  |  |
| 15 | 17 | [Download](15/dataset.zip) |  |  |  |  |  |  |  |  |
| 16 | 77 | [Download](16/dataset.zip) |  |  |  |  |  |  |  |  |
| 17 | 37 | [Download](17/dataset.zip) |  |  |  |  |  |  |  |  |
| 18 | 10 | [Download](18/dataset.zip) |  |  |  |  |  |  |  |  |
| 19 | 15 | [Download](19/dataset.zip) |  |  |  |  |  |  |  |  |
| 20 | 516 | [Download](20/dataset.zip) |  |  |  |  |  |  |  |  |
| 21 | 65 | [Download](21/dataset.zip) |  |  |  |  |  |  |  |  |
| 22 | 11 | [Download](22/dataset.zip) |  |  |  |  |  |  |  |  |
| 23 | 6 | [Download](23/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| 24 | 6 | [Download](24/dataset.zip) |  |  |  |  |  |  | N/A | N/A |
| noise | 188 | [Download](-1/dataset.zip) |  |  |  |  |  |  |  |  |
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hanifabdlh/quac-lamini-instruction-indo-1220k-1240k | 2023-11-02T09:38:58.000Z | [
"region:us"
] | hanifabdlh | null | null | 0 | 0 | 2023-11-02T09:38:56 | ---
dataset_info:
features:
- name: context
dtype: string
- name: instruction
dtype: string
- name: response
dtype: string
- name: instruction_source
dtype: string
splits:
- name: train
num_bytes: 9807987
num_examples: 20000
download_size: 5567400
dataset_size: 9807987
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "quac-lamini-instruction-indo-1220k-1240k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 596 | [
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burnboostusa/burn-boost | 2023-11-02T10:02:34.000Z | [
"region:us"
] | burnboostusa | null | null | 0 | 0 | 2023-11-02T10:02:18 | <h2><a href="https://carehealthreview.blogspot.com/2023/11/burn-boost-official-usa-no-1-premium.html">Burn Boost – Official Website Link – Click Here</a></h2>
<h2><strong>►❱❱ Product Name - <a href="https://myhealthfitnessmart.blogspot.com/2023/11/burn-boost-reviews-usacanadagold-vida.html">Burn Boost</a></strong><br /><strong>►❱❱ Side Effects - No Major Side Effects</strong><br /><strong>►❱❱ Category - Health</strong><br /><strong>►❱❱ Results - In 1-2 Months</strong><br /><strong>►❱❱ Availability – <a href="https://www.globalfitnessmart.com/get-burn-boost">Online</a></strong><br /><strong>►❱❱ Rating: - 5.0/5.0 ⭐⭐⭐⭐⭐</strong><br /><strong>►❱❱ Where to Get Bottle Online - <a href="https://www.globalfitnessmart.com/get-burn-boost">www.burnboost.com</a><br /></strong></h2>
<h2 id="d6d1" class="km kn ev be ko kp kq kr ks kt ku kv kw kx ky kz la lb lc ld le lf lg lh li lj bj"><a href="https://www.globalfitnessmart.com/get-burn-boost"><strong>➡️Hurry Up — Limited Time Offer — Purchase Now➡️</strong></a><br /><a href="https://www.globalfitnessmart.com/get-burn-boost"><strong>➡️Hurry Up — Limited Time Offer — Purchase Now➡️</strong></a><br /><a href="https://www.globalfitnessmart.com/get-burn-boost"><strong>➡️Hurry Up — Limited Time Offer — Purchase Now➡️</strong></a></h2>
<p><a href="https://www.scoop.it/topic/burn-boost-by-burnboost-usa"><strong>Burn Boost</strong></a> is a nutritional weight loss supplement that promises to help you lose belly fat and curb your craving for unhealthy foods. Read more about ingredients, benefits, side effects, price, and more.</p>
<div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://www.globalfitnessmart.com/get-burn-boost"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhtBjnwMA05-wmCUbdkJ5zrukFQI3l6BXSVdb7ZBi5Kd-BIcGEIzoNyVAQGn1ixV6DaWs4G3pcsv_7DSto-uoEhaOBTocBNrQx7JTjGhJUh8iTFmJEVO_Yt8JCEazn4W18Kg-I5QKicHJYSHDCmUg6Dk_lrCXkjngZjJki8TU93G3BX_9K2bVAmDEUmZUnA/w640-h640/6bottle.png" alt="" width="640" height="640" border="0" data-original-height="450" data-original-width="450" /></a></div>
<h2><strong>What is a <a href="https://gold-vida-official.clubeo.com/calendar/2023/11/03/burn-boost-is-legit-2023-updated-report">Burn Boost</a> supplement?<br /></strong></h2>
<p><a href="https://gold-vida-official.clubeo.com/page/burn-boost-reviews-viral-scam-or-legit-is-it-work-or-not.html"><strong>Burn Boost</strong></a> by Gold Vida is the freshest dietary supplement that supports fat-burning, hydration, cognition, and energy.</p>
<p>It has several blends, including a recovery blend, cognitive blend, energy blend, and hydration blend, along with various vitamins and minerals. This is the only formula that can turn on the lipolysis switch and help you burn more calories without strenuous workouts and exercises. With <a href="https://gold-vida-official.clubeo.com/page/burn-boost-reviews-usa-canada-gold-vida-official-website.html"><strong>Burn Boost</strong></a> you never have to rely on diets and calorie counting.</p>
<p><a href="https://groups.google.com/g/burn-boost-official/c/pr2713KjAtM"><strong>Burn Boost</strong></a> is the only formula on the market with exotic ingredients and nutrients that trigger fat burning immediately. The formula works equally for men and women who are obese and have overweight issues. It is manufactured in the USA under certified labs with the latest technology. The formula is 100% natural, GMO-free, gluten-free, dairy-free, soy-free, and vegetarian as well. Hence, there are no side effects of consuming <a href="https://gold-vida-official.clubeo.com/"><strong>Burn Boost</strong></a> at all.</p>
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<h2><strong>How does the <a href="https://colab.research.google.com/drive/1zcCHSHqdkc4_whOpViu4037m8WMlFDvr">Burn Boost</a> work?</strong></h2>
<p>After a few weeks of regularly taking <a href="https://lookerstudio.google.com/u/0/reporting/4d01e808-003e-4d48-89e9-a0b8e2994711/page/4j8gD"><strong>Burn Boost</strong></a>, you are able to decrease your body weight, BMI, body fat mass, and weight circumference. But how does it work?</p>
<p><a href="https://burn-boost-review.company.site/"><strong>Burn Boost</strong></a> supplies the body with the needed vitamins, nutrients, and a specific type of antioxidant that can boost the fat-burning process in the body and help you shed off pounds without having to run 5 miles a day, exercise or diet.<a href="https://www.scoop.it/topic/burn-boost-reviews-usa-canada-gold-vida-official-website"><strong>Burn Boost</strong></a> keeps your body hydrated and when the body has enough water, it is less likely to store fat. Hydration is a significant factor to consider when you are trying to lose weight.</p>
<p>The ingredients that are added in <a href="https://gamma.app/public/Burn-Boost-Reviews---USACANADAGOLD-VIDA-Official-Website-yf6h2y4h44erh79?mode=doc"><strong>Burn Boost</strong> </a>helps you stay hydrated all the name which prevents the body from storing fat cells.<a href="https://burn-boost-22.jimdosite.com/"><strong>Burn Boost</strong></a> can help regulate your insulin production and control your blood sugar levels. It also maintains healthy levels of blood pressure and cholesterol. <a href="https://www.scoop.it/topic/burn-boost-by-burnboost-usa"><strong>Burn Boost</strong></a> reduces the risks of heart diseases.</p>
<div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://www.globalfitnessmart.com/get-burn-boost"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjoEJW75fF600lzZr-DVrtYJoUL9Qapu1c3_iWI8yKjexBYRemOytoubDD_QqXt3OeMqgKcFPnFpQmKHQClxJtO-_xOAYZX_5exzcTymj7kudvFDzbWB1lqwz83M5YYxOJBJykqw4ZluQoPLJ_qwNkJ9Usy5kuMHPCOlX_eLmsubrf4ykWHOACdj0OfM9Gy/w640-h278/Burn%20Boost%20003.jpg" alt="" width="640" height="278" border="0" data-original-height="278" data-original-width="640" /></a></div>
<h2><strong>Ingredients used in <a href="https://devfolio.co/@burnboostusa">Burn Boost</a> supplement</strong></h2>
<p>According to the website of <a href="https://www.eventcreate.com/e/burn-boost"><strong>Burn Boost</strong></a>, the combination of ingredients they use is effective for losing weight. These are the natural ingredients added to the <a href="https://burn-boost-review.webflow.io/"><strong>Burn Boost</strong></a> supplement.</p>
<p><strong>#Coconut Water Powder:</strong> This secret ingredient is used in the weight loss supplement, it is able to keep your body hydrated and prevent it from storing fat cells. It also provides nutrients that can support your overall health.</p>
<p><strong>#Green Tea:</strong> This type of tea contains the highest number of catechins which is a special type of antioxidant that can help you lose weight fast. It supports your digestive system and speeds up your metabolic rate. It also provides relaxing properties that relieve you from stress.</p>
<p><strong>#Guarana:</strong> This ingredient is added in <a href="https://www.bitsdujour.com/view/burn-boost-reviews-viralscam-or-legit-is-it-work-or-not#comments95612"><strong>Burn Boost</strong></a> that can increase your fat-burning metabolism. It increases your genes that can slow down your fat cell production. It also regulates blood pressure, blood sugar, and cholesterol levels in the body.</p>
<p><strong>#Green Coffee Beans:</strong> This contains polyphenol antioxidants that not just cleanse the body from toxins but also increase the reduction of fat absorption in your gut. It changes the process of the body to burn off the belly fat right away and prevent it from storing fat and sugar. Green Coffee Beans can maintain your blood sugar and blood pressure levels at a normal and healthy rate.</p>
<p><strong>#Glutamine:</strong> This ingredient supports your lean muscle tissue. It can help you burn more calories and reduce your belly fat. Glutamine can also decrease your appetite and cravings to prevent you from eating more.</p>
<h2 style="text-align: center;"><span style="color: #0000ff;"><a style="color: #0000ff;" href="https://www.globalfitnessmart.com/get-burn-boost"><strong>(EXCLUSIVE OFFER)Click Here : "Burn Boost USA"Official Website!</strong></a></span></h2>
<h2><strong>What are the benefits of consuming <a href="https://burnboost.bandcamp.com/track/burn-boost-reviews-viral-scam-or-legit-is-it-work-or-not">Burn Boost</a> Gold Vida?</strong></h2>
<p>● It helps switch on the lipolysis process, which helps your body actively burn fat.</p>
<p>● It boosts metabolism and digestive functions.</p>
<p>● It helps you attain a toned and flat belly.</p>
<p>● It regulates blood pressure, sugar, and cholesterol regularly.</p>
<p>● It boosts your energy levels daily.</p>
<p>● It helps your cells release fat on a daily basis so you can lose visceral fat too .</p>
<p>● It prevents bloating, gas, cramps, and digestive issues too.</p>
<p>● It helps you burn calories without exercising much.</p>
<p>● It helps curb your cravings and hunger.</p>
<p>● It controls your appetite as well.</p>
<p>● It keeps you feeling full and satiated, so you naturally eat limited food.</p>
<p>● It helps your body absorb nutrients from everything you eat.</p>
<p>● It also boosts cognitive functions and skills.</p>
<p>● It keeps you hydrated, which is great for people who love working out.</p>
<p>● It helps you lose 30 or more pounds within just three months without exercising.</p>
<div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://www.globalfitnessmart.com/get-burn-boost"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjBi_aV72sY9pf41OrmKmVrcJwN9f0YecMfVb0_fr_xmwL6qC6Ns5gI9BWM7MuCuDokNuUEIi58H1Y385H20iqmHqOXoP6N83zFZ5USEcwgAJTTojH3pq74_w3aJXfZ98aoUMNhpdz23FGWu3MqIeGBAvgR1GiW0VFV2bJyXKg_GSgN-mMt3lrq7RVMEHZd/w640-h426/image001.jpg" alt="" width="640" height="426" border="0" data-original-height="1365" data-original-width="2048" /></a></div>
<h2><strong>How should you consume <a href="https://soundcloud.com/burnboostusa/burn-boost-is-legit-2023-updated-report">Burn Boost</a> Powder?</strong></h2>
<p><a href="https://bitbucket.org/burn-boost/burn-boost/issues/1/burn-boost-official-usa-no-1-premium-fat"><strong>Burn Boost</strong></a> is available in a powder form supplement containing so many important nutrients. Each jar of Burn Boost contains a month’s worth of formula for weight loss, cognition, hydration, and improved energy levels.</p>
<p>You should add a scoop of <a href="https://community.thermaltake.com/index.php?/topic/363076-burn-boost-official-usa-no-1-premium-fat-burner-booster-powerweight-loss-supplement/"><strong>Burn Boost</strong></a> to water, tea, or coffee. You can take the formula before lunch and after dinner.Try taking the formula once a day at first, but if you have more than 30 pounds to lose, you can add it before lunch and after dinner too.</p>
<div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://www.globalfitnessmart.com/get-burn-boost"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhdG-GMzTtxVrkrqqwfV_dpfdD-tVbsPnyJwyiTssXsiS1j5rIUNvPB47F6Wmtdx-IhjTgoX92dsyNr8AM4KPHxZMUshHzZGISGzqGj_0521EJC6gUCYRIJ_VvdGUsiD6R7Z-Kd5Pjt7eQICB34_246iLVmb3or2ng4NYIpsNYq0fQDSnYVU-w8gUeym9MG/w640-h512/Burn%20Boost%20005.jpg" alt="" width="640" height="512" border="0" data-original-height="475" data-original-width="594" /></a></div>
<h2><strong>What is the price of <a href="https://www.deviantart.com/burnboostusa/art/Burn-Boost-Official-991893148">Burn Boost</a>? Where should one buy it from?</strong></h2>
<p><a href="https://forums.hitched.co.uk/chat/forums/thread/burn-boost-officialusa-no1-premium-fat-burner-booster-powerweight-loss-supplement-1141963/"><strong>Burn Boost</strong></a> is only available for purchase on its official website. You can’t buy it from any other website, even if you look for <a href="https://forums.hitched.co.uk/chat/forums/thread/burn-boost-reviews-2023-usacanadagold-vida-official-website-1141957/"><strong>Burn Boost</strong></a> Amazon, Burn Boost USA, or Burn Boost Canada online.</p>
<p>Avoid buying supplements from other websites to avoid scams. <a href="https://experiment.com/projects/xrckqkglftsdwmnuowyq/methods"><strong>Burn Boost</strong></a> is available at discounted rates today:</p>
<p><strong>● Buy one bottle of <a href="https://bitbucket.org/burn-boost/burn-boost/issues/2/burn-boost-reviews-2023-usa-canada-gold">Burn Boost</a> for just $59.</strong></p>
<p><strong>● Buy three bottles of <a href="https://bitbucket.org/burn-boost/burn-boost/issues/1/burn-boost-official-usa-no-1-premium-fat">Burn Boost </a>for just $147 ($49 each).</strong></p>
<p><strong>● Buy six bottles of <a href="https://burnboost.bandcamp.com/track/burn-boost-reviews-viral-scam-or-legit-is-it-work-or-not">Burn Boost</a> for just $234 ($39 each).</strong></p>
<p>You must pay a small shipping fee. There are no subscriptions, and there’s only a one-time payment. Also, there is a 60-day 100% money-back guarantee on all purchases.</p>
<h2 style="text-align: center;"><span style="color: #0000ff;"><a style="color: #0000ff;" href="https://www.globalfitnessmart.com/get-burn-boost"><strong>SPECIAL PROMO[Limited Discount]: "Burn Boost USA"Official Website!</strong></a></span></h2>
<h2><strong><a href="https://www.bitsdujour.com/view/burn-boost-reviews-viralscam-or-legit-is-it-work-or-not#comments95612">Burn Boost</a> Reviews - Final Verdict</strong></h2>
<p><a href="https://burn-boost-review.webflow.io/"><strong>Burn Boost</strong></a> is the only natural formula that has so many natural nutrients that are directly linked with fat loss.</p>
<p>You can consume <a href="https://community.thermaltake.com/index.php?/topic/363074-burn-boost-reviews-2023-usacanada%E3%80%90gold-vida-official-website%E3%80%91/"><strong>Burn Boost</strong></a> without any prescription or consultation, as it is 100% natural and causes no side effects. <strong><a href="https://forums.hitched.co.uk/chat/forums/thread/burn-boost-officialusa-no1-premium-fat-burner-booster-powerweight-loss-supplement-1141963/">Burn Boost</a></strong> is suitable for all adults and can be taken on a daily basis without any risks.It helps you lose fat, boost cognitive functions, improve energy levels, and boost hydration as well. Without doing much, you can burn 211 calories or more. <a href="https://www.deviantart.com/burnboostusa/art/Burn-Boost-Reviews-USA-991892862"><strong>Burn Boost</strong></a> is backed with a 60-day money-back guarantee for a safe purchase.</p>
<h2><strong>FAQ of <a href="https://forums.hitched.co.uk/chat/forums/thread/burn-boost-reviews-2023-usacanadagold-vida-official-website-1141957/">Burn Boost</a> Reviews:</strong></h2>
<p>Here are some Frequently Asked Questions:</p>
<p><strong>How to prepare <a href="https://experiment.com/projects/xrckqkglftsdwmnuowyq/methods">Burn Boost</a>?</strong></p>
<p>Get 1 scoop of <a href="https://soundcloud.com/burnboostusa/burn-boost-is-legit-2023-updated-report"><strong>Burn Boost</strong></a> supplement and add it into your water. Mix properly.</p>
<p><strong>How often should you take <a href="https://burnboost.bandcamp.com/track/burn-boost-reviews-viral-scam-or-legit-is-it-work-or-not">Burn Boost</a>?</strong></p>
<p>It is recommended to take the <a href="https://www.bitsdujour.com/view/burn-boost-reviews-viralscam-or-legit-is-it-work-or-not#comments95612"><strong>Burn Boost</strong></a> supplement thrice a day. You are able to increase your metabolism with this recommended dose.</p>
<p><strong>Is it safe to take?</strong></p>
<p>Yes, the <a href="https://www.eventcreate.com/e/burn-boost"><strong>Burn Boost</strong></a> supplement is safe to take. There are no harmful effects or adverse reactions to your health or body.</p>
<p><strong>How long will users experience optimal benefits?</strong></p>
<p>According to the official website of <a href="https://www.scoop.it/topic/burn-boost-reviews-usa-canada-gold-vida-official-website"><strong>Burn Boost</strong></a>, users are able to</p>
<div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://www.globalfitnessmart.com/get-burn-boost"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjhx5Dp4HpG0VpjEOhhyphenhyphenYbaUTqUVR9LnnGY_L8LXflWhs7wyEmts9jJ94VM_XeTJ2AW2vcfZNSwTaG9gomk8fWUFLa2MIW7rcWMcMsJcqQH7woZTHy1FPxiCuLazOZj_6mIcoUYt0z5xBDdtD1O6FHXVLgrqhucw9tWwGTRLBLFVj80dp-Snz6EGnSnC4At/w640-h512/Burn%20Boost%20005.jpg" alt="" width="640" height="512" border="0" data-original-height="475" data-original-width="594" /></a></div>
<h2 style="text-align: center;"><span style="color: #0000ff;"><a style="color: #0000ff;" href="https://www.globalfitnessmart.com/get-burn-boost"><strong>SPECIAL PROMO: Get Burn Boost at the Lowest Discounted Price Online</strong></a></span></h2>
<h2><span style="color: #0000ff;"><strong># READ MORE</strong></span></h2>
<p><span style="color: #0000ff;"><strong><a href="https://carehealthreview.blogspot.com/2023/11/burn-boost-official-usa-no-1-premium.html">https://carehealthreview.blogspot.com/2023/11/burn-boost-official-usa-no-1-premium.html</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://myhealthfitnessmart.blogspot.com/2023/11/burn-boost-reviews-usacanadagold-vida.html">https://myhealthfitnessmart.blogspot.com/2023/11/burn-boost-reviews-usacanadagold-vida.html</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://gold-vida-official.clubeo.com/calendar/2023/11/03/burn-boost-is-legit-2023-updated-report">https://gold-vida-official.clubeo.com/calendar/2023/11/03/burn-boost-is-legit-2023-updated-report</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://gold-vida-official.clubeo.com/page/burn-boost-reviews-viral-scam-or-legit-is-it-work-or-not.html">https://gold-vida-official.clubeo.com/page/burn-boost-reviews-viral-scam-or-legit-is-it-work-or-not.html</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://gold-vida-official.clubeo.com/page/burn-boost-reviews-usa-canada-gold-vida-official-website.html">https://gold-vida-official.clubeo.com/page/burn-boost-reviews-usa-canada-gold-vida-official-website.html</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://gold-vida-official.clubeo.com/">https://gold-vida-official.clubeo.com/</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://groups.google.com/g/burn-boost-official/c/pr2713KjAtM">https://groups.google.com/g/burn-boost-official/c/pr2713KjAtM</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://sites.google.com/view/burn-boost-review-usa/home">https://sites.google.com/view/burn-boost-review-usa/home</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://gamma.app/public/Burn-Boost-Reviews---USACANADAGOLD-VIDA-Official-Website-yf6h2y4h44erh79?mode=doc">https://gamma.app/public/Burn-Boost-Reviews---USACANADAGOLD-VIDA-Official-Website-yf6h2y4h44erh79?mode=doc</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://burn-boost-22.jimdosite.com/">https://burn-boost-22.jimdosite.com/</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://www.scoop.it/topic/burn-boost-by-burnboost-usa">https://www.scoop.it/topic/burn-boost-by-burnboost-usa</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://www.scoop.it/topic/burn-boost-reviews-usa-canada-gold-vida-official-website">https://www.scoop.it/topic/burn-boost-reviews-usa-canada-gold-vida-official-website</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://burn-boost-review.company.site/">https://burn-boost-review.company.site/</a></strong></span></p>
<p><span style="color: #0000ff;"><strong><a href="https://lookerstudio.google.com/u/0/reporting/4d01e808-003e-4d48-89e9-a0b8e2994711/page/4j8gD">https://lookerstudio.google.com/u/0/reporting/4d01e808-003e-4d48-89e9-a0b8e2994711/page/4j8gD</a></strong></span></p>
<p><strong><a href="https://devfolio.co/@burnboostusa">https://devfolio.co/@burnboostusa</a></strong></p>
<p><strong><a href="https://www.eventcreate.com/e/burn-boost">https://www.eventcreate.com/e/burn-boost</a></strong></p>
<p><strong><a href="https://burn-boost-review.webflow.io/">https://burn-boost-review.webflow.io/</a></strong></p>
<p><strong><a href="https://www.bitsdujour.com/view/burn-boost-reviews-viralscam-or-legit-is-it-work-or-not#comments95612">https://www.bitsdujour.com/view/burn-boost-reviews-viralscam-or-legit-is-it-work-or-not#comments95612</a></strong></p>
<p><strong><a href="https://soundcloud.com/burnboostusa/burn-boost-is-legit-2023-updated-report">https://soundcloud.com/burnboostusa/burn-boost-is-legit-2023-updated-report</a></strong></p>
<p><strong><a href="https://bitbucket.org/burn-boost/burn-boost/issues/1/burn-boost-official-usa-no-1-premium-fat">https://bitbucket.org/burn-boost/burn-boost/issues/1/burn-boost-official-usa-no-1-premium-fat</a></strong></p>
<p><strong><a href="https://experiment.com/projects/xrckqkglftsdwmnuowyq/methods">https://experiment.com/projects/xrckqkglftsdwmnuowyq/methods</a></strong></p>
<p><strong><a href="https://www.deviantart.com/burnboostusa/art/Burn-Boost-Reviews-USA-991892862">https://www.deviantart.com/burnboostusa/art/Burn-Boost-Reviews-USA-991892862</a></strong></p>
<p><strong><a href="https://community.thermaltake.com/index.php?/topic/363074-burn-boost-reviews-2023-usacanada%E3%80%90gold-vida-official-website%E3%80%91/">https://community.thermaltake.com/index.php?/topic/363074-burn-boost-reviews-2023-usacanada%E3%80%90gold-vida-official-website%E3%80%91/</a></strong></p>
<p><strong><a href="https://forums.hitched.co.uk/chat/forums/thread/burn-boost-officialusa-no1-premium-fat-burner-booster-powerweight-loss-supplement-1141963/">https://forums.hitched.co.uk/chat/forums/thread/burn-boost-officialusa-no1-premium-fat-burner-booster-powerweight-loss-supplement-1141963/</a></strong></p> | 22,556 | [
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] |
Francois-Baillard/router-dataset2 | 2023-11-02T10:27:53.000Z | [
"region:us"
] | Francois-Baillard | null | null | 0 | 0 | 2023-11-02T10:27:48 | ---
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 16574
num_examples: 100
download_size: 4107
dataset_size: 16574
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "router-dataset2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 471 | [
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] |
HumanF-MarkrAI/WIKI_QA_Near_dedup | 2023-11-02T11:02:51.000Z | [
"region:us"
] | HumanF-MarkrAI | null | null | 0 | 0 | 2023-11-02T10:57:34 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: input
dtype: float64
- name: output
dtype: string
- name: instruction
dtype: string
splits:
- name: train
num_bytes: 145724140
num_examples: 137505
download_size: 87382170
dataset_size: 145724140
---
# Dataset Card for "WIKI_QA_Near_dedup"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 530 | [
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Yeshwanth-03-06-2004/twit_bios | 2023-11-02T10:59:21.000Z | [
"region:us"
] | Yeshwanth-03-06-2004 | null | null | 0 | 0 | 2023-11-02T10:59:20 | Entry not found | 15 | [
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] |
Nathamon/CommentwordExpo_Eng-TH | 2023-11-02T11:15:39.000Z | [
"region:us"
] | Nathamon | null | null | 0 | 0 | 2023-11-02T11:15:37 | ---
dataset_info:
features:
- name: id
dtype: string
- name: sentence
dtype: string
- name: cleaned_sentence
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 2858226
num_examples: 12407
download_size: 1570070
dataset_size: 2858226
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "CommentwordExpo_Eng-TH"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 576 | [
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skuma307/Gosu-FT-Data | 2023-11-02T11:26:21.000Z | [
"region:us"
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AtilaVoices/leonovosom | 2023-11-02T15:03:08.000Z | [
"region:us"
] | AtilaVoices | null | null | 0 | 0 | 2023-11-02T11:32:09 | Entry not found | 15 | [
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Arabic-Clip/Arabic_dataset_13M_translated_cleaned_v2_jsonl_format_ViT-B-16-plus-240-fulldata-v2 | 2023-11-02T12:45:45.000Z | [
"region:us"
] | Arabic-Clip | null | null | 0 | 0 | 2023-11-02T12:45:45 | Entry not found | 15 | [
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] |
SUSTech/OpenOrca-zh | 2023-11-02T12:47:02.000Z | [
"region:us"
] | SUSTech | null | null | 0 | 0 | 2023-11-02T12:46:53 | ---
configs:
- config_name: default
data_files:
- split: orca_gpt4
path: data/orca_gpt4-*
dataset_info:
features:
- name: id
dtype: string
- name: system_prompt
dtype: string
- name: question
dtype: string
- name: response
dtype: string
splits:
- name: orca_gpt4
num_bytes: 36097159
num_examples: 38786
download_size: 18918799
dataset_size: 36097159
---
# Dataset Card for "OpenOrca-zh"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 569 | [
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berkouille/mistral_instruct_golf_dataset | 2023-11-02T12:52:27.000Z | [
"region:us"
] | berkouille | null | null | 0 | 0 | 2023-11-02T12:51:10 | Entry not found | 15 | [
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omoured/line-graphics-dataset | 2023-11-02T23:37:15.000Z | [
"license:cc-by-4.0",
"region:us"
] | omoured | null | null | 0 | 0 | 2023-11-02T13:01:47 | ---
license: cc-by-4.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image
dtype: image
- name: image_name
dtype: string
- name: width
dtype: int64
- name: height
dtype: int64
- name: instances
list:
- name: category_id
dtype: int64
- name: mask
sequence:
sequence: float64
splits:
- name: train
num_bytes: 8927542.0
num_examples: 200
- name: validation
num_bytes: 4722935.0
num_examples: 100
- name: test
num_bytes: 3984722.0
num_examples: 100
download_size: 16709320
dataset_size: 17635199.0
---
categories:
0: "Label"
1: "Legend"
2: "Line"
3: "Spine"
4: "Title"
5: "ptitle"
6: "xlabel"
7: "xspine"
8: "xtitle"
9: "ylabel"
10:"yspine"
11:"ytitle"
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] |
Back-up/Topic-Prediction-Context | 2023-11-02T13:20:42.000Z | [
"region:us"
] | Back-up | null | null | 0 | 0 | 2023-11-02T13:20:37 | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: topic
struct:
- name: topic
dtype: string
- name: answers
struct:
- name: answer_start
sequence: int64
- name: text
sequence: string
- name: instruction
dtype: string
- name: prompt_name
dtype: string
splits:
- name: train
num_bytes: 260326
num_examples: 101
download_size: 125912
dataset_size: 260326
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "Topic-Prediction-Context"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 816 | [
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yetagilebot/msample | 2023-11-02T13:36:16.000Z | [
"region:us"
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ESGBERT/social_2k | 2023-11-02T13:53:57.000Z | [
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ESGBERT/governance_2k | 2023-11-02T13:54:36.000Z | [
"region:us"
] | ESGBERT | null | null | 0 | 0 | 2023-11-02T13:54:14 | Entry not found | 15 | [
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] |
SaffalPoosh/AN4_ASR_dataset | 2023-11-02T15:08:20.000Z | [
"region:us"
] | SaffalPoosh | null | null | 0 | 0 | 2023-11-02T13:55:30 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: audio_filepath
dtype: audio
- name: duration
dtype: float64
- name: text
dtype: string
splits:
- name: train
num_bytes: 81556453.0
num_examples: 948
- name: test
num_bytes: 11434382.0
num_examples: 130
download_size: 86823191
dataset_size: 92990835.0
---
# Dataset Card for "AN4_ASR_dataset"
This dataset can be used to train NEMO English Speech models.
Audio files are sampled at `16kHz`.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 731 | [
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] |
alvarobartt/ultrafeedback-instruction-dataset-mini | 2023-11-02T21:29:06.000Z | [
"region:us"
] | alvarobartt | null | null | 0 | 0 | 2023-11-02T14:13:42 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: generations
sequence: string
- name: raw_generation_response
sequence: string
- name: rating
sequence: int64
- name: rationale
sequence: string
- name: raw_labelling_response
struct:
- name: choices
list:
- name: finish_reason
dtype: string
- name: index
dtype: int64
- name: message
struct:
- name: content
dtype: string
- name: role
dtype: string
- name: created
dtype: int64
- name: id
dtype: string
- name: model
dtype: string
- name: object
dtype: string
- name: usage
struct:
- name: completion_tokens
dtype: int64
- name: prompt_tokens
dtype: int64
- name: total_tokens
dtype: int64
splits:
- name: train
num_bytes: 19411
num_examples: 5
- name: test
num_bytes: 18987
num_examples: 5
download_size: 65415
dataset_size: 38398
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "ultrafeedback-instruction-dataset-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 1,366 | [
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Aunsiels/Quasimodo-GenT | 2023-11-02T14:21:53.000Z | [
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] |
englert-m/noisy-cifar10-reconstructions | 2023-11-02T15:43:24.000Z | [
"region:us"
] | englert-m | null | null | 0 | 0 | 2023-11-02T14:26:26 | ---
dataset_info:
features:
- name: orig
dtype: uint32
- name: corrupted
dtype: image
- name: count
dtype: uint32
- name: xflip
dtype: int64
- name: yflip
dtype: int64
- name: scale
dtype: float32
- name: rotate_frac
dtype: float32
- name: aniso_w
dtype: float32
- name: aniso_r
dtype: float32
- name: translate_frac
sequence: float64
splits:
- name: train
num_bytes: 103967243513.625
num_examples: 40695787
download_size: 109587041106
dataset_size: 103967243513.625
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "noisy-cifar10-reconstructions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 818 | [
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] |
Back-up/Topic-Prediction-Context-With-Random-Prompts | 2023-11-02T14:28:03.000Z | [
"region:us"
] | Back-up | null | null | 0 | 0 | 2023-11-02T14:27:58 | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: topic
struct:
- name: topic
dtype: string
- name: answers
struct:
- name: answer_start
sequence: int64
- name: text
sequence: string
- name: instruction
dtype: string
- name: prompt_name
dtype: string
splits:
- name: train
num_bytes: 256498
num_examples: 101
download_size: 124883
dataset_size: 256498
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "Topic-Prediction-Context-With-Random-Prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 836 | [
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Aunsiels/Ascent-GenT | 2023-11-02T14:28:06.000Z | [
"region:us"
] | Aunsiels | null | null | 0 | 0 | 2023-11-02T14:28:06 | Entry not found | 15 | [
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] |
Back-up/Topic-Prediction-Context-With-Random-Prompts-in-the-end | 2023-11-02T14:48:54.000Z | [
"region:us"
] | Back-up | null | null | 0 | 0 | 2023-11-02T14:48:47 | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: topic
struct:
- name: topic
dtype: string
- name: answers
struct:
- name: answer_start
sequence: int64
- name: text
sequence: string
- name: instruction
dtype: string
- name: prompt_name
dtype: string
splits:
- name: train
num_bytes: 248398
num_examples: 101
download_size: 125460
dataset_size: 248398
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "Topic-Prediction-Context-With-Random-Prompts-in-the-end"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 847 | [
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TrieuNguyen/llm-ai-detect | 2023-11-03T00:48:30.000Z | [
"region:us"
] | TrieuNguyen | null | null | 0 | 0 | 2023-11-02T14:53:16 | Entry not found | 15 | [
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] |
CesarLeblanc/mask_dataset | 2023-11-02T18:50:51.000Z | [
"region:us"
] | CesarLeblanc | null | null | 0 | 0 | 2023-11-02T14:54:03 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 183401374
num_examples: 506266
- name: test
num_bytes: 32362222
num_examples: 89342
download_size: 96700897
dataset_size: 215763596
---
# Dataset Card for "mask_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 548 | [
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] |
CesarLeblanc/classification_dataset | 2023-11-02T18:51:03.000Z | [
"region:us"
] | CesarLeblanc | null | null | 0 | 0 | 2023-11-02T14:54:16 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: label
dtype: int64
- name: text
dtype: string
splits:
- name: train
num_bytes: 312830672
num_examples: 741610
- name: test
num_bytes: 55081834
num_examples: 130873
download_size: 160978572
dataset_size: 367912506
---
# Dataset Card for "classification_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 593 | [
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paoloitaliani/ace_attorney | 2023-11-02T17:35:43.000Z | [
"region:us"
] | paoloitaliani | null | null | 0 | 0 | 2023-11-02T15:11:54 | ---
dataset_info:
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features:
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dataset_size: 1886106
configs:
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data_files:
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path: all/train-*
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path: all/validation-*
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path: all/test-*
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data_files:
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path: policies/validation-*
- split: test
path: policies/test-*
---
# Dataset Card for "ace_attorney"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 1,864 | [
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] |
iix/mini_coco_linux | 2023-11-02T16:59:42.000Z | [
"task_categories:text-classification",
"task_categories:text-generation",
"size_categories:0.001M<n<0.0011M",
"language:en",
"license:mit",
"code",
"region:us"
] | iix | null | null | 0 | 0 | 2023-11-02T15:26:24 | ---
license: mit
task_categories:
- text-classification
- text-generation
language:
- en
tags:
- code
pretty_name: '*'
size_categories:
- 0.001M<n<0.0011M
---
# mini coco dataset files
# Required dependencies
```
OpenCV (cv2)
matplotlib
ipywidgets
```
# img_data.psv
Extract of the coco dataset containing the following labels: ```["airplane", "backpack", "cell phone", "handbag", "suitcase", "knife", "laptop", "car"]``` (300 of each)
```
Structured as follows:
| Field | Description |
| --------------- | --------------------------------------------------------------------------------------------------- |
| file_name | Name of image file (.png) |
| height | Image height prior to padding |
| width | Image width prior to padding |
| annotations | Array of boundary box array, label pairs. Bbox arrays are of the form [x_min, y_min, width, height] |
1.09k rows
```
# /data (folder)
This directory contains a selection of zero-padded COCO images that correspond to img_data.parquet, image names are of the following format:
```
xxxxxx.png
```
# display_boundary.py
Allows images to be viewed with their boundary boxes, don't need to pay attention to how it works.
```
- Intended to run in tandem with jupyter notebook.
- Takes img_name.png as input, inspect img_data.psv or /data for image names.
```
If you have any questions or issues, feel free to keep them to yourself. | 1,742 | [
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] |
Back-up/Topic-Prediction-with-pair-qa-v1 | 2023-11-02T15:32:12.000Z | [
"region:us"
] | Back-up | null | null | 0 | 0 | 2023-11-02T15:32:07 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: topic
struct:
- name: topic
dtype: string
- name: answers
struct:
- name: answer_start
sequence: int64
- name: text
sequence: string
- name: instruction
dtype: string
- name: prompt_name
dtype: string
splits:
- name: train
num_bytes: 153313
num_examples: 101
download_size: 82427
dataset_size: 153313
---
# Dataset Card for "Topic-Prediction-with-pair-qa-v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 823 | [
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JorJuz/JorJuz | 2023-11-02T15:36:32.000Z | [
"region:us"
] | JorJuz | null | null | 0 | 0 | 2023-11-02T15:36:10 | Entry not found | 15 | [
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patrickvonplaten/images_distil | 2023-11-02T15:42:00.000Z | [
"region:us"
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patnelt60/transformersbookcodeparrot-train | 2023-11-02T15:37:55.000Z | [
"region:us"
] | patnelt60 | null | null | 0 | 0 | 2023-11-02T15:37:55 | Entry not found | 15 | [
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patnelt60/transformersbookcodeparrot-valid | 2023-11-02T16:11:11.000Z | [
"region:us"
] | patnelt60 | null | null | 0 | 0 | 2023-11-02T15:38:34 | Entry not found | 15 | [
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ikaankeskin/PASCAL_MLX | 2023-11-02T16:19:35.000Z | [
"region:us"
] | ikaankeskin | null | null | 0 | 0 | 2023-11-02T15:41:22 | # **VOC2012 Image and Annotation Visualization** Notebook
**Github**: https://github.com/ikaankeskin/MLXdatasets/tree/main/ObjectDetection/PASCAL
**HuggingFace**: https://huggingface.co/datasets/ikaankeskin/PASCAL_MLX
This repository contains a tool that facilitates the download, extraction, and visualization of the VOC2012 dataset, complete with bounding box annotations extracted from associated XML files.
## **Features**
- **Automated Dataset Download**: Fetches the VOC2012 dataset from Hugging Face's repository in ZIP format.
- **ZIP Extraction**: Conveniently unzips the downloaded dataset to provide access to images and their annotations.
- **Image Visualization**: Displays a select set of images from the dataset for preliminary visualization.
- **XML Annotation Processing**: Reads corresponding XML annotation files for chosen images.
- **Bounding Box Overlay**: Draws bounding boxes around annotated objects on the images, enhancing visualization.
- **Annotation Table Display**: Offers a structured view of extracted details from XML annotations in tabular format.
```
- **Python**: Version 3.x
- **Libraries**: As specified in **`requirements.txt`**, which includes:
- requests
- tqdm
- pandas
- matplotlib
- opencv-python
## **Object Filters for Visualizations**
The tool comes equipped with a specific color mapping that governs the visual representation of certain objects when overlaying bounding box annotations on images. The current mapping is coded as:
```python
color_mapping = {'train': (0, 255, 0), 'person': (0, 0, 255)}
```
This implies:
- 'train' objects are rendered with **green** bounding boxes (RGB: **`(0, 255, 0)`**).
- 'person' objects are visualized with **blue** bounding boxes (RGB: **`(0, 0, 255)`**).
Objects not included in this mapping will not receive bounding boxes during visualization. For incorporating additional object types or altering existing color configurations, users can edit or extend the **`color_mapping`** dictionary. For instance, to visualize 'car' objects in red, an entry **`'car': (255, 0, 0)`** can be added. | 2,113 | [
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herikhug/vozherik | 2023-11-02T16:21:14.000Z | [
"region:us"
] | herikhug | null | null | 0 | 0 | 2023-11-02T15:47:54 | Entry not found | 15 | [
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CASIA-LM/ChineseWebText | 2023-11-02T07:55:37.000Z | [
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] |
NathanGavenski/MountainCar-v0 | 2023-11-02T16:03:38.000Z | [
"size_categories:10M<n<100M",
"license:mit",
"Imitation Learning",
"Expert Trajectory",
"region:us"
] | NathanGavenski | null | null | 1 | 0 | 2023-11-02T16:00:28 | ---
license: mit
tags:
- Imitation Learning
- Expert Trajectory
pretty_name: MountainCar-v0 Expert Dataset
size_categories:
- 10M<n<100M
---
# MountainCar-v0 - Imitation Learning Datasets
This is a dataset created by [Imitation Learning Datasets](https://github.com/NathanGavenski/IL-Datasets) project.
It was created by using Stable Baselines weights from a DQN policy from [HuggingFace](https://huggingface.co/sb3/dqn-MountainCar-v0).
## Description
The dataset consists of 1,000 episodes with an average episodic reward of `-98.817`.
Each entry consists of:
```
obs (list): observation with length 2.
action (int): action (0 or 1).
reward (float): reward point for that timestep.
episode_returns (bool): if that state was the initial timestep for an episode.
```
## Usage
Feel free to download and use the `teacher.jsonl` dataset as you please.
If you are interested in using our PyTorch Dataset implementation, feel free to check the [IL Datasets](https://github.com/NathanGavenski/IL-Datasets/blob/main/src/imitation_datasets/dataset/dataset.py) project.
There, we implement a base Dataset that downloads this dataset and all other datasets directly from HuggingFace.
The Baseline Dataset also allows for more control over train and test splits and how many episodes you want to use (in cases where the 1k episodes are not necessary).
## Citation
Coming soon. | 1,373 | [
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DataGuard/gdpr-raw | 2023-11-02T16:07:09.000Z | [
"region:eu"
] | DataGuard | null | null | 0 | 0 | 2023-11-02T16:07:02 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: system_prompt
dtype: string
- name: input
dtype: string
- name: response
dtype: string
- name: type
dtype: string
- name: lang
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 765945.0
num_examples: 544
- name: test
num_bytes: 77439.29227941176
num_examples: 55
download_size: 391114
dataset_size: 843384.2922794118
---
# Dataset Card for "gdpr-raw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 733 | [
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thangvip/OpenOrca-translate-openQA | 2023-11-02T16:25:14.000Z | [
"region:us"
] | thangvip | null | null | 0 | 0 | 2023-11-02T16:23:59 | Entry not found | 15 | [
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Sarthak279/hinglish-data | 2023-11-02T16:25:18.000Z | [
"region:us"
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] |
CJWeiss/ukabs_id | 2023-11-02T16:36:40.000Z | [
"region:us"
] | CJWeiss | null | null | 0 | 0 | 2023-11-02T16:36:30 | ---
dataset_info:
features:
- name: judgement
dtype: string
- name: summary
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 53147657
num_examples: 594
- name: test
num_bytes: 10152794
num_examples: 120
- name: valid
num_bytes: 8112656
num_examples: 79
download_size: 33052417
dataset_size: 71413107
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
---
# Dataset Card for "ukabs_id"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 708 | [
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] |
JJhooww/Dolphin_ptbr | 2023-11-02T21:49:54.000Z | [
"region:us"
] | JJhooww | null | null | 0 | 0 | 2023-11-02T16:38:31 | ---
dataset_info:
features:
- name: question
dtype: string
splits:
- name: train
num_bytes: 167868386
num_examples: 86917
download_size: 90865001
dataset_size: 167868386
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "Dolphin_ptbr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 450 | [
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] |
Xapien/gpt4_pipe_test | 2023-11-02T16:46:56.000Z | [
"region:us"
] | Xapien | null | null | 0 | 0 | 2023-11-02T16:46:54 | ---
dataset_info:
features:
- name: input_data
dtype: string
- name: output_data
dtype: string
splits:
- name: train
num_bytes: 2067
num_examples: 2
download_size: 8861
dataset_size: 2067
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "gpt4_pipe_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 476 | [
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] |
magnifi/hl-codellama-chat-response-v2 | 2023-11-02T16:47:51.000Z | [
"region:us"
] | magnifi | null | null | 0 | 0 | 2023-11-02T16:47:40 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: Query
dtype: string
- name: Result
dtype: string
- name: chat_response
dtype: string
splits:
- name: train
num_bytes: 1321860.461185117
num_examples: 1523
- name: test
num_bytes: 567627.5388148829
num_examples: 654
download_size: 109799
dataset_size: 1889488.0
---
# Dataset Card for "hl-codellama-chat-response-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 654 | [
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Lornng/cpgQA-json-split | 2023-11-02T16:51:38.000Z | [
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] |
StarkWizard/cairo-instruct | 2023-11-02T16:52:51.000Z | [
"region:us"
] | StarkWizard | null | null | 0 | 0 | 2023-11-02T16:52:47 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 784343
num_examples: 3226
- name: eval
num_bytes: 856
num_examples: 5
download_size: 308662
dataset_size: 785199
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: eval
path: data/eval-*
---
# Dataset Card for "cairo-instruct"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 531 | [
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zhaospei/type_history | 2023-11-02T17:02:48.000Z | [
"region:us"
] | zhaospei | null | null | 0 | 0 | 2023-11-02T17:02:16 | Entry not found | 15 | [
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] |
DataGuard/gdpr-instruct | 2023-11-02T17:03:05.000Z | [
"region:eu"
] | DataGuard | null | null | 0 | 0 | 2023-11-02T17:02:56 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: system_prompt
dtype: string
- name: input
dtype: string
- name: response
dtype: string
- name: type
dtype: string
- name: lang
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 1977697.984161267
num_examples: 2500
- name: test
num_bytes: 219920.0158387329
num_examples: 278
download_size: 854293
dataset_size: 2197618.0
---
# Dataset Card for "gdpr-instruct"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 741 | [
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thangvip/webglm-data-100 | 2023-11-02T17:29:19.000Z | [
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sebastiandizon/spotify-million-song | 2023-11-02T17:41:50.000Z | [
"region:us"
] | sebastiandizon | null | null | 0 | 0 | 2023-11-02T17:19:49 | ---
# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
A dataset containing songs, artists names, link to song and lyrics
## Dataset Details
Dataset retrieved from https://www.kaggle.com/datasets/notshrirang/spotify-million-song-dataset
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
This is Spotify Million Song Dataset. This dataset contains song names, artists names, link to the song and lyrics. This dataset can be used for recommending songs, classifying or clustering songs.
- **Curated by:** SHRIRANG MAHAJAN
- **Language(s) (NLP):** ENGLISH
- **License:** CC0 PUBLIC DOMAIN
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://www.kaggle.com/datasets/notshrirang/spotify-million-song-dataset
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
dataset_info:
features:
- name: {artist}
dtype: {string}
- name: {song}
dtype: {string}
- name: {link}
dtype: {string}
- name: {text} # Song Lyrics
dtype: {string}
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- 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. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Dataset Card Contact
[More Information Needed] | 3,981 | [
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ZenkoDraken/FNAF | 2023-11-02T17:22:38.000Z | [
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developer0313testing/meds | 2023-11-02T17:25:58.000Z | [
"region:us"
] | developer0313testing | null | null | 0 | 0 | 2023-11-02T17:24:33 | Entry not found | 15 | [
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fredbananas/deloitte-jobs | 2023-11-02T17:25:11.000Z | [
"region:us"
] | fredbananas | null | null | 1 | 0 | 2023-11-02T17:24:46 | Entry not found | 15 | [
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] |
aneeshas/tla_code_eval | 2023-11-02T17:54:46.000Z | [
"region:us"
] | aneeshas | null | null | 0 | 0 | 2023-11-02T17:28:31 | ---
dataset_info:
features:
- name: protocol
dtype: string
- name: prompt
dtype: string
- name: label
dtype: string
splits:
- name: val
num_bytes: 110431
num_examples: 18
download_size: 47115
dataset_size: 110431
configs:
- config_name: default
data_files:
- split: val
path: data/val-*
---
# Dataset Card for "tla_code_eval"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 502 | [
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HiTZ/Multilingual-Opinion-Target-Extraction | 2023-11-02T18:46:33.000Z | [
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:en",
"language:fr",
"language:es",
"language:ru",
"language:tr",
"license:apache-2.0",
"opinion",
"target",
"absa",
"aspect",
"sentiment analysis",
"region:us"
] | HiTZ | null | null | 0 | 0 | 2023-11-02T17:41:40 | ---
arxiv: 2210.12623
paperswithcode_id: aspect-based-sentiment-analysis
license: apache-2.0
configs:
- config_name: en
data_files:
- split: train
path: en.ote.train.json
- split: test
path: en.ote.test.json
- config_name: es
data_files:
- split: train
path: es.ote.train.json
- split: test
path: es.ote.test.json
- config_name: fr
data_files:
- split: train
path: fr.ote.train.json
- split: test
path: fr.ote.test.json
- config_name: ru
data_files:
- split: train
path: ru.ote.train.json
- split: test
path: ru.ote.test.json
- config_name: tr
data_files:
- split: train
path: tr.ote.train.json
task_categories:
- token-classification
language:
- en
- fr
- es
- ru
- tr
tags:
- opinion
- target
- absa
- aspect
- sentiment analysis
pretty_name: Multilingual Opinion Target Extraction
size_categories:
- 1K<n<10K
---
```python
{
"O": 0,
"B-TARGET": 1,
"I-TARGET": 2
}
``` | 936 | [
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] |
rjaiswal/bulgari-dataset | 2023-11-02T17:43:19.000Z | [
"region:us"
] | rjaiswal | null | null | 0 | 0 | 2023-11-02T17:43:17 | ---
dataset_info:
features:
- name: image
dtype: 'null'
- name: text
dtype: 'null'
splits:
- name: train
num_bytes: 0
num_examples: 0
download_size: 706
dataset_size: 0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "bulgari-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 458 | [
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andrewbass/215-test2 | 2023-11-02T19:01:16.000Z | [
"region:us"
] | andrewbass | null | null | 0 | 0 | 2023-11-02T18:11:40 | Entry not found | 15 | [
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deepbrain/guanaco-llama2-1k-testArt | 2023-11-02T19:04:51.000Z | [
"region:us"
] | deepbrain | null | null | 0 | 0 | 2023-11-02T18:15:49 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 1654448
num_examples: 1000
download_size: 966692
dataset_size: 1654448
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "guanaco-llama2-1k-testArt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 452 | [
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pphuc25/vlsp-dataset-2 | 2023-11-02T18:23:01.000Z | [
"region:us"
] | pphuc25 | null | null | 0 | 0 | 2023-11-02T18:16:34 | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 6165849355.594
num_examples: 50482
download_size: 6304115752
dataset_size: 6165849355.594
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "vlsp-dataset-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 497 | [
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] |
determined-ai/mbpp_short | 2023-11-02T18:21:53.000Z | [
"region:us"
] | determined-ai | null | null | 0 | 0 | 2023-11-02T18:21:49 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: text
dtype: string
- name: code
dtype: string
splits:
- name: train
num_bytes: 43506
num_examples: 227
- name: test
num_bytes: 54302
num_examples: 291
- name: validation
num_bytes: 9398
num_examples: 51
download_size: 56077
dataset_size: 107206
---
# Dataset Card for "mbpp_short"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 673 | [
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] |
Fraternitas/out-of-scope | 2023-11-03T00:47:43.000Z | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"region:us"
] | Fraternitas | null | null | 0 | 0 | 2023-11-02T18:26:51 | ---
task_categories:
- text-classification
language:
- en
size_categories:
- 10K<n<100K
---
Here we can find the datasets generated to make a out-of-context classifier (ElektraGo Chat).
There are different version of the dataset:
- High Imbalanced
- Imbalanced
- Balanced (data augmentation and undersampling)
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] |
sayan1101/identity_finetune_data_3 | 2023-11-02T18:35:44.000Z | [
"region:us"
] | sayan1101 | null | null | 0 | 0 | 2023-11-02T18:35:32 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 249031
num_examples: 770
- name: test
num_bytes: 42748
num_examples: 136
download_size: 142525
dataset_size: 291779
---
# Dataset Card for "identity_finetune_data_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 583 | [
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] |
Aassemtkt/v0.1 | 2023-11-02T18:42:08.000Z | [
"region:us"
] | Aassemtkt | null | null | 0 | 0 | 2023-11-02T18:40:22 | ---
dataset_info:
features:
- name: pixel_values
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 1916970702.0
num_examples: 519
download_size: 125913722
dataset_size: 1916970702.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "v0.1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 483 | [
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karawalla/demo | 2023-11-02T18:41:13.000Z | [
"region:us"
] | karawalla | null | null | 0 | 0 | 2023-11-02T18:41:13 | Entry not found | 15 | [
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revellabs/custom_instruction_tuning_v4 | 2023-11-02T18:46:51.000Z | [
"region:us"
] | revellabs | null | null | 0 | 0 | 2023-11-02T18:46:38 | Entry not found | 15 | [
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] |
SaffalPoosh/DM-vton-test | 2023-11-02T18:56:47.000Z | [
"region:us"
] | SaffalPoosh | null | null | 0 | 0 | 2023-11-02T18:52:31 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: person_images
dtype: image
- name: cloth_images
dtype: image
- name: cloth_edge_images
dtype: image
splits:
- name: test
num_bytes: 6878828.0
num_examples: 416
download_size: 6469560
dataset_size: 6878828.0
---
# Dataset Card for "DM-vton"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 528 | [
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bcombs/autotrain-data-docid | 2023-11-02T19:38:00.000Z | [
"task_categories:text-classification",
"region:us"
] | bcombs | null | null | 0 | 0 | 2023-11-02T18:55:53 | ---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: docid
## Dataset Description
This dataset has been automatically processed by AutoTrain for project docid.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"text": "MetLife-Walker Information_HI_2023.3.29_14.17_C_B (1).docx.pdf",
"feat_url": "datasaur://static/5732/2a298b78-1c2c-4ff8-ad49-357670dd5ea7.pdf",
"target": 0,
"feat_CarrierName": "Met Life",
"feat_ProductTypes": "Hospital Indemnity"
},
{
"text": "Cima Telecom Inc_Prop (002)_ (2).docx.pdf",
"feat_url": "datasaur://static/5732/8adee066-55c4-4f8d-8dcd-53d5fdb42732.pdf",
"target": 0,
"feat_CarrierName": "Met Life",
"feat_ProductTypes": "Basic Life;Basic AD&D;Voluntary Life;Voluntary AD&D;Voluntary Dependent AD&D;Short-term Disability;Long-term Disability;Dental;Vision"
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"feat_url": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['Proposal', 'Summary (including SBC)'], id=None)",
"feat_CarrierName": "Value(dtype='string', id=None)",
"feat_ProductTypes": "Value(dtype='string', id=None)"
}
```
### Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
| ------------ | ------------------- |
| train | 15 |
| valid | 5 |
| 1,611 | [
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] |
determined-ai/short_data_test | 2023-11-02T18:57:34.000Z | [
"region:us"
] | determined-ai | null | null | 0 | 0 | 2023-11-02T18:57:14 | ---
configs:
- config_name: default
data_files:
- split: split_1
path: data/split_1-*
- split: split_2
path: data/split_2-*
- split: split_3
path: data/split_3-*
- split: split_4
path: data/split_4-*
- split: split_5
path: data/split_5-*
- split: split_6
path: data/split_6-*
- split: split_7
path: data/split_7-*
- split: split_8
path: data/split_8-*
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path: data/split_9-*
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path: data/split_10-*
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path: data/split_11-*
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path: data/split_12-*
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path: data/split_13-*
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path: data/split_14-*
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path: data/train-*
- split: val
path: data/val-*
dataset_info:
features:
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dtype: string
splits:
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- name: train
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num_examples: 1
download_size: 14197
dataset_size: 2418
---
# Dataset Card for "short_data_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 1,948 | [
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] |
ksukrit/training_data_hands | 2023-11-02T19:16:49.000Z | [
"region:us"
] | ksukrit | null | null | 0 | 0 | 2023-11-02T19:07:14 | ---
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': bad
'1': good
splits:
- name: train
num_bytes: 4654722697.352
num_examples: 3974
download_size: 0
dataset_size: 4654722697.352
---
# Dataset Card for "training_data_hands"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 555 | [
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] |
SaffalPoosh/DM-vton-train | 2023-11-02T19:14:21.000Z | [
"region:us"
] | SaffalPoosh | null | null | 0 | 0 | 2023-11-02T19:07:36 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: person_images
dtype: image
- name: person_densepose
dtype: image
- name: person_label
dtype: image
- name: person_pose
dtype: image
- name: cloth_images
dtype: image
- name: cloth_edge_images
dtype: image
splits:
- name: train
num_bytes: 467128253.52
num_examples: 6824
download_size: 153179210
dataset_size: 467128253.52
---
# Dataset Card for "DM-vton-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 669 | [
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patrickvonplaten/diffusers_release_v22 | 2023-11-02T19:13:34.000Z | [
"region:us"
] | patrickvonplaten | null | null | 0 | 0 | 2023-11-02T19:13:22 | Entry not found | 15 | [
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vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia | 2023-11-02T19:19:03.000Z | [
"region:us"
] | vwxyzjn | null | null | 0 | 0 | 2023-11-02T19:18:32 | ---
dataset_info:
features:
- name: id
dtype: string
- name: subreddit
dtype: string
- name: title
dtype: string
- name: post
dtype: string
- name: summary
dtype: string
- name: query_token
sequence: int64
- name: query
dtype: string
- name: reference_response
dtype: string
- name: reference_response_token
sequence: int64
splits:
- name: train
num_bytes: 886229543
num_examples: 116722
- name: validation
num_bytes: 48966797
num_examples: 6447
- name: test
num_bytes: 49800881
num_examples: 6553
download_size: 338995010
dataset_size: 984997221
---
# Dataset Card for "summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 861 | [
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vwxyzjn/summarize_from_feedback_oai_preprocessing_pythia | 2023-11-02T19:31:21.000Z | [
"region:us"
] | vwxyzjn | null | null | 0 | 0 | 2023-11-02T19:31:02 | ---
dataset_info:
features:
- name: info
struct:
- name: id
dtype: string
- name: post
dtype: string
- name: title
dtype: string
- name: subreddit
dtype: string
- name: site
dtype: string
- name: article
dtype: string
- name: summaries
list:
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dtype: string
- name: policy
dtype: string
- name: note
dtype: string
- name: choice
dtype: int32
- name: worker
dtype: string
- name: batch
dtype: string
- name: split
dtype: string
- name: extra
struct:
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dtype: int32
- name: query_token
sequence: int64
- name: query
dtype: string
- name: response0
dtype: string
- name: response0_token
sequence: int64
- name: response1
dtype: string
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sequence: int64
splits:
- name: train
num_bytes: 782558889
num_examples: 92858
- name: validation
num_bytes: 734266349
num_examples: 86086
download_size: 124011801
dataset_size: 1516825238
---
# Dataset Card for "summarize_from_feedback_oai_preprocessing_pythia"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 1,285 | [
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