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mHossain/final_train_v4_test_640000 | 2023-08-19T03:28:37.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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# Dataset Card for "final_train_v4_test_640000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_660000 | 2023-08-19T03:28:41.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_660000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_680000 | 2023-08-19T03:28:45.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_680000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_700000 | 2023-08-19T03:28:51.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_700000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_720000 | 2023-08-19T03:28:55.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_720000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_740000 | 2023-08-19T03:28:59.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_740000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_760000 | 2023-08-19T03:29:03.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_760000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_780000 | 2023-08-19T03:29:08.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_780000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_800000 | 2023-08-19T03:29:13.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_800000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_820000 | 2023-08-19T03:29:17.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_820000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_840000 | 2023-08-19T03:29:22.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_840000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_860000 | 2023-08-19T03:29:27.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_860000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_880000 | 2023-08-19T03:29:31.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_880000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_900000 | 2023-08-19T03:29:35.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_900000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_920000 | 2023-08-19T03:29:40.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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# Dataset Card for "final_train_v4_test_920000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_940000 | 2023-08-19T03:29:44.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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# Dataset Card for "final_train_v4_test_940000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_960000 | 2023-08-19T03:29:49.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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# Dataset Card for "final_train_v4_test_960000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_980000 | 2023-08-19T03:29:54.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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# Dataset Card for "final_train_v4_test_980000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_1000000 | 2023-08-19T03:29:59.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
configs:
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# Dataset Card for "final_train_v4_test_1000000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_1020000 | 2023-08-19T03:30:04.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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# Dataset Card for "final_train_v4_test_1020000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_1040000 | 2023-08-19T03:30:09.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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# Dataset Card for "final_train_v4_test_1040000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
KCode/file-type | 2023-08-19T03:45:38.000Z | [
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mHossain/final_train_v4_test_1060000 | 2023-08-19T03:30:14.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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# Dataset Card for "final_train_v4_test_1060000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_1080000 | 2023-08-19T03:30:18.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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# Dataset Card for "final_train_v4_test_1080000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_1100000 | 2023-08-19T03:30:23.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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# Dataset Card for "final_train_v4_test_1100000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_1120000 | 2023-08-19T03:30:27.000Z | [
"region:us"
] | mHossain | null | null | null | 0 | 0 | ---
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---
# Dataset Card for "final_train_v4_test_1120000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_1140000 | 2023-08-19T03:30:32.000Z | [
"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: input_text
dtype: string
- name: target_text
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- name: train
num_bytes: 7315927.2
num_examples: 18000
- name: test
num_bytes: 812880.8
num_examples: 2000
download_size: 3505075
dataset_size: 8128808.0
---
# Dataset Card for "final_train_v4_test_1140000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/final_train_v4_test_1160000 | 2023-08-19T03:32:56.000Z | [
"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: input_text
dtype: string
- name: target_text
dtype: string
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num_examples: 18000
- name: test
num_bytes: 794825.3
num_examples: 2000
download_size: 3422745
dataset_size: 7948253.0
---
# Dataset Card for "final_train_v4_test_1160000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
shockroborty/oasst_best_k2_en | 2023-08-20T14:09:15.000Z | [
"region:us"
] | shockroborty | null | null | null | 0 | 0 | ### Dataset Card
This dataset is a subset of the Open Assistant dataset, which you can find here: https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main
This subset of the data only contains the highest-rated (quality >= 0.75) english conversation paths of maximum 1 turn - rank 1/top-k=2 - which means the maximum loop one conversation has is Human - Assistant - Human - Assistant, with a total of 4355 samples.
If you want all the turns, you can refer to https://huggingface.co/datasets/timdettmers/openassistant-guanaco
For further information, please see the original dataset.
License: Apache 2.0 |
alamabdifc/tarkAaM | 2023-08-19T04:10:48.000Z | [
"region:us"
] | alamabdifc | null | null | null | 0 | 0 | Entry not found |
Mariko45654/klokasma3 | 2023-08-19T04:40:27.000Z | [
"region:us"
] | Mariko45654 | null | null | null | 0 | 0 | Entry not found |
adatngeteh/tOoOng | 2023-08-19T04:20:52.000Z | [
"region:us"
] | adatngeteh | null | null | null | 0 | 0 | Entry not found |
syaifulumar/spartan | 2023-08-19T04:29:29.000Z | [
"region:us"
] | syaifulumar | null | null | null | 0 | 0 | Entry not found |
JorangHorse/Third | 2023-08-19T04:35:15.000Z | [
"region:us"
] | JorangHorse | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 1213654.0
num_examples: 2
download_size: 623252
dataset_size: 1213654.0
---
# Dataset Card for "Third"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
IKUTMAIN/WiNnNn | 2023-08-19T04:39:15.000Z | [
"region:us"
] | IKUTMAIN | null | null | null | 0 | 0 | Entry not found |
Neilbert/supytalP-nepO | 2023-08-20T04:29:22.000Z | [
"region:us"
] | Neilbert | null | null | null | 0 | 0 | Entry not found |
danakampanye/cairRr | 2023-08-19T04:49:03.000Z | [
"region:us"
] | danakampanye | null | null | null | 0 | 0 | Entry not found |
gwj/wendi | 2023-08-19T05:00:28.000Z | [
"region:us"
] | gwj | null | null | null | 0 | 0 | Entry not found |
Jing24/generate_sub_0 | 2023-08-19T05:03:51.000Z | [
"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:
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sequence: int64
- name: text
sequence: string
splits:
- name: train
num_bytes: 71556466
num_examples: 78391
download_size: 12827716
dataset_size: 71556466
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "generate_sub_0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Mahamed12v/Kenya87r | 2023-08-19T05:24:40.000Z | [
"license:openrail",
"region:us"
] | Mahamed12v | null | null | null | 0 | 0 | ---
license: openrail
---
|
tyuykiulpolui/yjyukiopoujty546 | 2023-08-19T05:26:02.000Z | [
"region:us"
] | tyuykiulpolui | null | null | null | 0 | 0 | Entry not found |
ytukyilupu/jyukyiuopk6676 | 2023-08-19T05:26:08.000Z | [
"region:us"
] | ytukyilupu | null | null | null | 0 | 0 | Entry not found |
yjuykiuop/htyjuykiuok76 | 2023-08-19T05:26:23.000Z | [
"region:us"
] | yjuykiuop | null | null | null | 0 | 0 | Entry not found |
Mustain/squad | 2023-08-19T05:32:45.000Z | [
"region:us"
] | Mustain | null | null | null | 0 | 0 | Entry not found |
james0707/sentiment-uz | 2023-08-19T05:41:23.000Z | [
"region:us"
] | james0707 | null | null | null | 0 | 0 | Entry not found |
AttainBase/AttainDataset | 2023-08-19T06:15:30.000Z | [
"license:openrail",
"region:us"
] | AttainBase | null | null | null | 0 | 0 | ---
license: openrail
---
|
SUSTech/sci-llm | 2023-08-19T06:43:31.000Z | [
"license:apache-2.0",
"region:us"
] | SUSTech | null | null | null | 0 | 0 | ---
license: apache-2.0
dataset_info:
features:
- name: chosen
dtype: string
- name: rejected
dtype: string
splits:
- name: train
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- name: test
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num_examples: 800
download_size: 89497
dataset_size: 48046820
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
oklinkrimfc/jilat | 2023-08-19T06:39:21.000Z | [
"region:us"
] | oklinkrimfc | null | null | null | 0 | 0 | Entry not found |
Jing24/generate_sub_1 | 2023-08-19T06:39:49.000Z | [
"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
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- name: train
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download_size: 11445492
dataset_size: 63954468
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "generate_sub_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Michael823/semantic-try2 | 2023-08-19T06:45:21.000Z | [
"region:us"
] | Michael823 | 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: pixel_values
dtype: image
- name: label
dtype: image
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num_examples: 10
- name: validation
num_bytes: 834103.0
num_examples: 3
download_size: 4200704
dataset_size: 4181120.0
---
# Dataset Card for "semantic-try2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
antonjaragon/audio-emotions | 2023-08-19T17:19:15.000Z | [
"region:us"
] | antonjaragon | 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: paths
dtype: string
- name: labels
dtype: string
splits:
- name: train
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num_examples: 9764
- name: test
num_bytes: 156131.5487465181
num_examples: 2442
download_size: 167160
dataset_size: 780402.0
---
# Dataset Card for "audio-emotions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Ebo88/llama2-3 | 2023-08-19T07:27:20.000Z | [
"license:apache-2.0",
"region:us"
] | Ebo88 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
Akshithsak/demo | 2023-08-19T07:16:01.000Z | [
"region:us"
] | Akshithsak | null | null | null | 0 | 0 | Entry not found |
chargoddard/Open-Platypus-Chat-Judged | 2023-08-19T08:20:10.000Z | [
"size_categories:10K<n<100K",
"region:us"
] | chargoddard | null | null | null | 0 | 0 | ---
dataset_info:
- config_name: best_rated
features:
- name: id
dtype: string
- name: rating
struct:
- name: analysis
dtype: string
- name: judge
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- name: conversations
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dtype: string
- name: value
dtype: string
splits:
- name: train
num_bytes: 16455644.962765958
num_examples: 10236
download_size: 7071171
dataset_size: 16455644.962765958
- config_name: default
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- name: id
dtype: string
- name: rating
struct:
- name: analysis
dtype: string
- name: judge
dtype: string
- name: score
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- name: conversations
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dtype: string
- name: value
dtype: string
splits:
- name: train
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num_examples: 24816
download_size: 18554361
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- config_name: worst_rated
features:
- name: id
dtype: string
- name: rating
struct:
- name: analysis
dtype: string
- name: judge
dtype: string
- name: score
dtype: int64
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
splits:
- name: train
num_bytes: 236320.80984042553
num_examples: 147
download_size: 125546
dataset_size: 236320.80984042553
configs:
- config_name: best_rated
data_files:
- split: train
path: best_rated/train-*
- config_name: default
data_files:
- split: train
path: data/train-*
- config_name: worst_rated
data_files:
- split: train
path: worst_rated/train-*
size_categories:
- 10K<n<100K
---
# Dataset Card for "Open-Platypus-Chat-Judged"
This is [Open-Platypus-Chat](https://huggingface.co/datasets/chargoddard/Open-Platypus-Chat), judged for quality by [TheBloke/OpenOrca-Platypus2-13B-GPTQ](https://huggingface.co/TheBloke/OpenOrca-Platypus2-13B-GPTQ). Each row is annotated with a score on a scale of 1 to 5 and a brief explanation of why it was given that score.
As the "judge" was a relatively quite small model, and quantized at that, the ratings are far from perfect. This is from the first iteration of an experiment in dataset refinement. Definitely do not take this dataset as ground truth.
<sub>Or do. I'm a dataset card, not a cop.</sub> |
PiyushVerma/Flipkart30k | 2023-08-19T07:21:44.000Z | [
"region:us"
] | PiyushVerma | null | null | null | 0 | 0 | Entry not found |
celiksa/train_dataset | 2023-08-19T08:14:42.000Z | [
"region:us"
] | celiksa | null | null | null | 0 | 0 | Entry not found |
mesolitica/kamus-dewan | 2023-08-19T08:24:00.000Z | [
"region:us"
] | mesolitica | null | null | null | 0 | 0 | Entry not found |
jxie/shapenet55 | 2023-08-19T08:39:24.000Z | [
"region:us"
] | jxie | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: inputs
sequence:
sequence: float64
- name: labels
dtype: int64
splits:
- name: train
num_bytes: 12035988360
num_examples: 52470
download_size: 9149702428
dataset_size: 12035988360
---
# Dataset Card for "shapenet55"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
deeplearning-tide/actresses | 2023-08-19T09:04:16.000Z | [
"region:us"
] | deeplearning-tide | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': keira
'1': nathalie
'2': others
splits:
- name: train
num_bytes: 137979476.0
num_examples: 429
- name: val
num_bytes: 54519033.0
num_examples: 168
- name: test
num_bytes: 54024602.0
num_examples: 168
download_size: 246545069
dataset_size: 246523111.0
---
# Dataset Card for "actresses"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Jing24/generate_sub_2 | 2023-08-19T08:36:50.000Z | [
"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:
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sequence: int64
- name: text
sequence: string
splits:
- name: train
num_bytes: 57007597
num_examples: 62522
download_size: 10151425
dataset_size: 57007597
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "generate_sub_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
iliang/NeuralActivityDemo | 2023-08-19T09:41:50.000Z | [
"region:us"
] | iliang | null | null | null | 0 | 0 | # Demo Data for "Global spatiotemporal structure and its deviations of neural activities in mice: a resting-state waves perspective"
## Dependencies
* Python.
* Python packages in "requirements.txt".
## How to run it
* Install Python.
* Install all required Python packages using something like ```pip install -r requirements.txt```.
* You can just run ```python demo.py``` to get a demo result. Or if you prefer jupyter, simply open ```demo.ipynb```.
Please refer to ```demo.ipynb``` for instructions on how to execute the code on your data and to view the expected outputs. Please note that lines 24 to 26 in ```demo.py``` may take a few minutes to execute, so please be patient.
## Tested on
* Arch Linux (6.4.10-arch1-1).
* Python 3.11.3.
* At least 128G memory if you want compute FC of all pixel pairs (using ```rsfc.full_image_pipeline``` function). |
nc33/triplet_sbert_law2 | 2023-08-20T15:05:30.000Z | [
"region:us"
] | nc33 | null | null | null | 0 | 0 | ---
dataset_info:
config_name: train
features:
- name: question
dtype: string
- name: positive
dtype: string
- name: negative
dtype: string
- name: id
dtype: string
splits:
- name: train
num_bytes: 1133470947
num_examples: 335510
download_size: 93896594
dataset_size: 1133470947
configs:
- config_name: train
data_files:
- split: train
path: train/train-*
---
# Dataset Card for "triplet_sbert_law2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
reprography/output | 2023-08-19T08:57:23.000Z | [
"license:openrail++",
"region:us"
] | reprography | null | null | null | 0 | 0 | ---
license: openrail++
---
|
cockamamie/powered | 2023-08-19T09:01:14.000Z | [
"license:bsl-1.0",
"region:us"
] | cockamamie | null | null | null | 0 | 0 | ---
license: bsl-1.0
---
|
grattoir/quicker | 2023-08-19T09:04:39.000Z | [
"region:us"
] | grattoir | null | null | null | 0 | 0 | Entry not found |
hijinks/smarter | 2023-08-19T09:10:00.000Z | [
"license:bsd-3-clause-clear",
"region:us"
] | hijinks | null | null | null | 0 | 0 | ---
license: bsd-3-clause-clear
---
|
fengtc/users_manual | 2023-08-19T13:20:41.000Z | [
"license:apache-2.0",
"region:us"
] | fengtc | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
tarsomcareen/storage | 2023-08-19T09:14:24.000Z | [
"license:cc-by-2.0",
"region:us"
] | tarsomcareen | null | null | null | 0 | 0 | ---
license: cc-by-2.0
---
|
bogeyturn/Hitomila-metadata-dump | 2023-08-28T17:57:01.000Z | [
"size_categories:1M<n<10M",
"language:en",
"language:ja",
"not-for-all-audiences",
"region:us"
] | bogeyturn | null | null | null | 0 | 0 | ---
language:
- en
- ja
tags:
- not-for-all-audiences
size_categories:
- 1M<n<10M
--- |
taesiri/FragileX | 2023-08-20T01:12:30.000Z | [
"license:mit",
"region:us"
] | taesiri | null | null | null | 0 | 0 | ---
license: mit
---
|
stampylongmoue/business | 2023-08-19T09:18:19.000Z | [
"license:cc-by-nc-nd-4.0",
"region:us"
] | stampylongmoue | null | null | null | 0 | 0 | ---
license: cc-by-nc-nd-4.0
---
|
jzdesign/mid-test | 2023-08-19T09:32:37.000Z | [
"license:openrail",
"region:us"
] | jzdesign | null | null | null | 0 | 0 | ---
license: openrail
---
|
DebajyotyBanik/ML-based-MT-Datasets | 2023-08-19T09:39:13.000Z | [
"region:us"
] | DebajyotyBanik | null | null | null | 0 | 0 | Entry not found |
amrllama/sample | 2023-08-19T10:27:18.000Z | [
"region:us"
] | amrllama | null | null | null | 0 | 0 | Entry not found |
sungmogi/en2ko_hiphop | 2023-08-27T08:28:05.000Z | [
"task_categories:translation",
"size_categories:10K<n<100K",
"language:en",
"language:ko",
"region:us"
] | sungmogi | null | null | null | 1 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
dataset_info:
features:
- name: id
dtype: int64
- name: translation
struct:
- name: en
dtype: string
- name: ko
dtype: string
splits:
- name: train
num_bytes: 5061272.804687347
num_examples: 46158
- name: test
num_bytes: 281254.92317741335
num_examples: 2565
- name: valid
num_bytes: 281145.272135239
num_examples: 2564
download_size: 4172120
dataset_size: 5623673
task_categories:
- translation
language:
- en
- ko
pretty_name: en2ko_hiphop
size_categories:
- 10K<n<100K
---
# Dataset Card for "en2ko_hiphop"
## Copyright Disclaimer
The dataset "en2ko_hiphop" was curated from publicly available sources and is believed to be in the public domain. The translations provided in this dataset are the work of volunteers and members of the community, and they have been collected and curated to facilitate research and analysis. However, it is important to acknowledge that copyright issues cannot be entirely ruled out. Therefore, users of the dataset should exercise caution when using it. The author of en2ko_hiphop does not assume any legal responsibility for the use of the dataset. If you have any questions or concerns regarding the dataset's copyright status, please contact the author at sungcho2023@u.northwestern.edu.
## Acknowledgements
I gratefully acknowledge DanceD(http://danced.co.kr/) of Korean Hiphop community HIPHOPLE(https://hiphople.com/). All English-to-Korean translations have been provided by DanceD. |
Jing24/generate_sub_3 | 2023-08-19T10:54:57.000Z | [
"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: 50105322
num_examples: 54802
download_size: 8946878
dataset_size: 50105322
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "generate_sub_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
tyang816/MedChatZH | 2023-08-22T02:37:57.000Z | [
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:zh",
"license:apache-2.0",
"medical",
"biology",
"region:us"
] | tyang816 | null | null | null | 0 | 0 | ---
license: apache-2.0
task_categories:
- question-answering
language:
- zh
tags:
- medical
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billionairebrainwave/Billionaire-Brain-Wave | 2023-08-19T12:33:24.000Z | [
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] | billionairebrainwave | null | null | null | 0 | 0 | <h3 class="articleHeading mb-0" style="text-align: left;"><span style="color: red;">Billionaire Brain Wave</span><br />Sale Is Live Order Now - <a href="https://sale365day.com/get-billionnaire-brain">https://sale365day.com/get-billionnaire-brain </a></h3>
<p class="articleHeading mb-0">Every person desires to live a life filled with peace and happiness but many people find it hard to lead a joyful life and in most cases, this is because of the financial crisis and difficulties that they are in.</p>
<p style="text-align: justify;">Now you must be wondering, how can you activate Theta waves in your brain and suppress the Beta wave, then read the <a href="https://billionaire-brain-wave-program.company.site/">Billionaire Brain Wave</a> reviews to know about a program that might assist you in switching on a path to luck and financial independence.</p>
<p style="text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjaFoKqoz3qMno587msL68lyDqUUpMd-0Lqpp_t8QY7KydDu6WEo24JHsknuBsX2NgVA9QTEU8AO16i6hi-oMQkAugIAh0C-UfIe3kkRfdE-PdEupa8w_ecr29CF2yyo4NCoXIVeRXGVq7vL-wE-bVYtvk0lz-35PpwKOV3oeAY4zmgtMyqIeWg8_fPJcI/s986/wqwd.JPG"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjaFoKqoz3qMno587msL68lyDqUUpMd-0Lqpp_t8QY7KydDu6WEo24JHsknuBsX2NgVA9QTEU8AO16i6hi-oMQkAugIAh0C-UfIe3kkRfdE-PdEupa8w_ecr29CF2yyo4NCoXIVeRXGVq7vL-wE-bVYtvk0lz-35PpwKOV3oeAY4zmgtMyqIeWg8_fPJcI/w640-h274/wqwd.JPG" alt="" width="640" height="274" border="0" data-original-height="422" data-original-width="986" /></a> </p>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-billionnaire-brain" target="_blank" rel="nofollow noopener"><span style="font-size: large;">Click Here To Purchase Billionaire Brain Wave Program at official website</span></a></u></strong></p>
<h2 style="text-align: justify;"><strong>What Is Billionaire Brain Wave Program?</strong></h2>
<p style="text-align: justify;">First things first, let’s start with discussing what <a href="https://vocal.media/stories/billionaire-brain-wave-100-trusted-is-it-proven-or-fake-money-booster">Billionaire Brain Wave</a> is. The program, <a href="https://billionaire-brain-wave-official.jimdosite.com/">Billionaire Brain Wave</a>, is created to help people achieve their true and maximum potential by providing them with the audio frequencies needed to activate the Theta brain wave. By doing this, Billionaire Brain Wave is supporting you in attaining all the wealth and happiness that you need in your life. The audio program is created based on ancient studies and scientific research evidence that proves that the real thing that has helped the upper-class elite people stay wealthy even in the toughest of times is the Theta brain wave in their brains</p>
<h2 style="text-align: justify;"><strong>Creators of the Billionaire Brain Wave Program</strong></h2>
<p style="text-align: justify;"><a href="https://fit-breath.blogspot.com/2023/08/billionaire-brain-wave.html">Billionaire Brain Wave</a> is created by Dave Mitchell and Dr. Summers. Dave Mitchell is a husband and father who has been in a financial situation where he wasn’t even able to afford a birthday gift for his daughter. Mitchell met Dr. Summers accidentally from whom he learned about the brain waves that synchronize with wealth and happiness. Dr. Summers is a neuroscientist who along with a team of other scientists developed a 7-minute technology that can aid in activating the brain waves but after the program was developed, they were restricted from sharing about this with the common people. But Dr. Summers, after hearing about the struggles Mitchell is facing in his life, decides to try out the program on him. After listening to the audio frequency, Mitchell became financially successful and happy in the next few months and this led to the creation of <a href="https://www.townscript.com/e/billionaire-brain-wave-program-warning-scam-exposed-does-it-work-014021">Billionaire Brain Wave</a>.</p>
<p style="text-align: justify;">Billionaire Brain Wave isn’t only a program intended to help people attract wealth and luck to their life but can aid a person in taking the reins of their life and living happily in every hardship situation. <a href="https://www.provenexpert.com/billionaire-brain-wave-program/">Billionaire Brain Wave</a> can help a person in attaining financial freedom, acquire luck in many different ways, become happy, enhance their mental well-being, restore their self-confidence, and lead a joyful life.</p>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-billionnaire-brain" target="_blank" rel="nofollow noopener"><span style="font-size: large;">Click Here To Purchase Billionaire Brain Wave Program at official website</span></a></u></strong> </p>
<h2 style="text-align: justify;"><strong>What Are Brain Waves? Understanding Different Brain Waves</strong></h2>
<p style="text-align: justify;">So far, we gave you a simple overview of the <a href="https://billionairebrainwaveupdate.contently.com/">Billionaire Brain Wave</a> and talked about the role that waves like beta and theta play in our lives. Now to understand how the program works, it is crucial to understand the five main types of waves produced by the brain and the role each of them plays. Let’s take a look at each of these brain waves:</p>
<p style="text-align: justify;"><strong>Gamma waves: </strong>Gamma waves are associated with concentration. This is the type of wave that helps a person in attaining maximum focus and gives you the ability to solve any problem quickly. Gamma waves also help with processing information efficiently.</p>
<p style="text-align: justify;"><strong>Beta waves: </strong>Beta waves are associated with the daily lives of people. This is the type of wave that comes with being busy and negatively affects your body and brain. <u><a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/beta-wave" target="_blank" rel="nofollow noopener">Beta waves</a></u> are responsible for failures in your life and limiting your potential to a minimum.</p>
<p style="text-align: justify;"><strong>Alpha waves: </strong>Alpha waves are waves produced when a person is relaxed and inattentive. These waves are associated with calmness and when the person isn’t concentrating or focusing on anything. Alpha waves support peaceful mental well-being.</p>
<p style="text-align: justify;"><strong>Theta waves: </strong>Theta waves are the ones associated with wealth and are considered the path to success. Theta waves can help with creativity, productivity, and attaining maximum potential.</p>
<p style="text-align: justify;"><strong>Delta waves: </strong>Delta waves are associated with sleep. These waves are produced to help the brain in recovering and stay relaxed, which induces sleep. Delta waves also provide maximum calmness to your brain.</p>
<p style="text-align: justify;">These are the 5 major waves produced by the brain. Among these, the ones that are relevant in attaining wealth and happiness in a person’s life are theta and beta. Beta is the slave wave of our brain that always succumbs to outside stress and limits a person’s potential. Theta is one that a person needs to attract luck and wealth to their lives. Here, the problem is, in the majority of people, beta waves are more dominant than theta waves which lead to a more stressful and unhappy life. So to become financially sound and successful, one should be able to produce more theta waves in the brain. </p>
<div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh-s4Khw6yecfIUCg-DgYUR4nQVsa2-OffbZydHSI6__Pll_sPg3qePAeJSmcWbXELljUHCXRO7ElCQZO-PGjua942YBBZcz0JV4_w3oD1hmRmj_Jki5R5aAcYdTQ8-ijDsTJ3S_PYtLtL3GAS-BxmfItd-Tcr-JZnKtAepUPhMF9YJUAwHbJcwPG5ORFI/s671/wfwddwd.JPG"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh-s4Khw6yecfIUCg-DgYUR4nQVsa2-OffbZydHSI6__Pll_sPg3qePAeJSmcWbXELljUHCXRO7ElCQZO-PGjua942YBBZcz0JV4_w3oD1hmRmj_Jki5R5aAcYdTQ8-ijDsTJ3S_PYtLtL3GAS-BxmfItd-Tcr-JZnKtAepUPhMF9YJUAwHbJcwPG5ORFI/w640-h434/wfwddwd.JPG" alt="" width="640" height="434" border="0" data-original-height="456" data-original-width="671" /></a> </div>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-billionnaire-brain" target="_blank" rel="nofollow noopener"><span style="font-size: large;">Click Here To Purchase Billionaire Brain Wave Program at official website</span></a></u></strong></p>
<h2 style="text-align: justify;"><strong>The Science Behind Billionaire Brain Wave</strong></h2>
<p style="text-align: justify;">We have talked about the <a href="https://billionairebrainwaveupdate.bandcamp.com/track/billionaire-brain-wave-fraud-alert-2023-is-it-really-attracts-money-or-fake-claim">Billionaire Brain Wave program</a> and different types of brain waves in detail. Now let’s see the science behind the program and the role that it plays in activating your <u><a href="https://www.healthline.com/health/theta-waves" target="_blank" rel="nofollow noopener">theta brain waves</a></u>. Many scientific studies have found that the source of theta brain waves is a tiny walnut-sized region in the brain and is called the hippocampus. So, if you have a bigger hippocampus, you will have a larger number of theta waves in your brain.</p>
<p style="text-align: justify;">But the problem here is that many people have a small-sized hippocampus region which makes it difficult for them to activate the theta waves in their brains. This is one of the primary reasons why a person is not able to reach their full potential and attract all the wealth and happiness in their lives. The condition where your hippocampus is small is called the Shrunken Hippocampus Effect. This happens when the slave waves aka the beta waves attack your brain waves and block the activation of the theta brain. Therefore, to produce more theta waves in your brain, the first thing that needs to be worked on is the Shrunken Hippocampus Effect.</p>
<p style="text-align: justify;">A research study from Kyoto University showed that sound waves can make changes in the way that a brain functions. Many other ancient studies have also shown that sound waves play a very major role in activating brain waves. So, to activate the theta brain waves in your brain, the creator of <a href="https://billionairebrainwave.godaddysites.com/">Billionaire Brain Wave</a> created a sound frequency that targets the hippocampus in your brain that puts your brain immediately into a neuroplastic state where more theta waves are produced 6x times faster than other brain waves. The sound waves produced by the creator of the program have 9 decimal points and hit 3 frequencies simultaneously that activate the theta waves in your brain and attract wealth without any difficulties.</p>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-billionnaire-brain" target="_blank" rel="nofollow noopener"><span style="font-size: large;">Click Here To Purchase Billionaire Brain Wave Program at official website</span></a></u></strong> </p>
<h2 style="text-align: justify;"><strong>Billionaire Brain Wave Program Benefits and Results</strong></h2>
<p style="text-align: justify;">The <a href="https://soundcloud.com/billionaire-brain-wave/billionaire-brain-wave-scientifically-proven-that-attracts-money-effortlessly">Billionaire Brain Wave</a> program can aid in activating theta waves in the brain and offer all the benefits associated with the wave. Some of the benefits that one can expect from listening to the audio track included in the program include the following:</p>
<p style="text-align: justify;"><strong>Attracts wealth: </strong>The primary benefit that one can expect from using <a href="https://www.fuzia.com/article_detail/799343/billionaire-brain-wave-2023-dont-buy-till-you-read-thi">Billionaire Brain Wave</a> is that they will be able to attract wealth in their lives. This will help them to become financially independent and live a lavish and luxurious life that they have always desired. By activating the theta waves in your brain, Billionaire Brain Wave is also ensuring that your ability to attract money stays in your life permanently, and it also passes down to the next generation.</p>
<p style="text-align: justify;"><strong>Improved focus, productivity, and learning capabilities: </strong>Another benefit that you can get by listening to the Billionaire Brain Wave is improved focus, productivity, and learning capabilities. Along with activating the theta waves in your brain, the audio track of the program also restricts the beta waves from other waves in the brain. This will support its normal production, which thus aids in improving focus and learning capabilities.</p>
<p style="text-align: justify;"><strong>Enhanced creativity and problem-solving skills: </strong><a href="https://www.forexagone.com/forum/experiences-trading/billionaire-brain-wave-update-warning-know-the-truth-behind-this-before-buying-58200#155335">Billionaire Brain Wave</a> can also aid in improving your creativity and helping you understand your ambitions more. By listening to the audio, you will be able to think more creatively and develop the ambition that you have fruitfully. Activating the theta waves in your brain with the help of Billionaire Brain Wave also improves problem-solving skills.</p>
<p style="text-align: justify;"><strong>Reduced stress and anxiety: </strong><a href="https://groups.google.com/g/billionaire-brain-wave-update/c/b9WfzqtTYvQ">Billionaire Brain Wave</a> can also reduce stress and anxiety. The program does this by calming your brain and putting everything at ease. By activating the theta waves in your brain, Billionaire Brain Wave is relaxing your mind and brain and this can greatly improve your mood. In addition to this, the program is creating a pathway to success which also helps with stress.</p>
<p style="text-align: justify;"><strong>Increased motivation and self-confidence: </strong><a href="https://groups.google.com/g/billionaire-brain-wave-update/c/JqttphVTJ7A">Billionaire Brain Wave</a> can also aid in increasing your motivation and self-confidence. The program can help you in feeling better about yourself which will boost your confidence. By unlocking the maximum potential inside you, Billionaire Brain Wave is boosting your motivation.</p>
<p style="text-align: justify;">Besides these benefits, a large hippocampus and increased production of theta waves in your brain can also deliver a few other health benefits such as the following:</p>
<p style="text-align: justify;">Helps in fighting age-related issues such as dementia</p>
<p style="text-align: justify;">Increasing life expectancy</p>
<p style="text-align: justify;">Improves brain function in people of all ages</p>
<p style="text-align: justify;">Boosting your intelligence </p>
<div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjJpDmGhfDSGRhQ_Zh-jIdNQczgCX6ifWD0WbkclRVBOeyDUoSfRaqYrPWuz-3W7VdvACToUsVgfbzeQjkpdnfmh8phzjmwZZVPiIMwFu89_Y7uFTYINZgsWxDHu-kbUHurJyGlCvXlKJf5ckbYfbXB0Ucf48T3BC-tpoxn2pCe3yWP5asW3Px5Sftb6K4/s753/qdeee.JPG"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjJpDmGhfDSGRhQ_Zh-jIdNQczgCX6ifWD0WbkclRVBOeyDUoSfRaqYrPWuz-3W7VdvACToUsVgfbzeQjkpdnfmh8phzjmwZZVPiIMwFu89_Y7uFTYINZgsWxDHu-kbUHurJyGlCvXlKJf5ckbYfbXB0Ucf48T3BC-tpoxn2pCe3yWP5asW3Px5Sftb6K4/w640-h462/qdeee.JPG" alt="" width="640" height="462" border="0" data-original-height="544" data-original-width="753" /></a> </div>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-billionnaire-brain" target="_blank" rel="nofollow noopener"><span style="font-size: large;">Click Here To Purchase Billionaire Brain Wave Program at official website</span></a></u></strong></p>
<h2 style="text-align: justify;"><strong>How to Use the Billionaire Brain Wave?</strong></h2>
<p style="text-align: justify;">Now, a question you might have in your mind is how to use the <a href="https://groups.google.com/g/billionaire-brain-wave-update">Billionaire Brain Wave</a>. This is quite simple. After waking up in the morning, sit down with your breakfast or the beverage that you like and then listen to the 7-minute audio by putting on your headphones and earbuds. Just listen to the audio tracks continuously and your brain will be able to widen the hippocampus and produce more theta waves.</p>
<p style="text-align: justify;">The creator of <a href="https://www.facebook.com/profile.php?id=61550158719435">Billionaire Brain Wave</a> suggests that you listen to the audio track at least one time a day, in the morning. But if you want, you can listen to the audio more than one time a day at a time that you prefer. It is recommended that you listen to the audio in an atmosphere where everything is calm and there are no disturbances or distractions.</p>
<h2 style="text-align: justify;"><strong>Billionaire Brain Wave Pricing and Accessibility</strong></h2>
<p style="text-align: justify;">The creators of <a href="https://billionaire-brain-wave-2023.webflow.io/">Billionaire Brain Wave</a> have created the program with the intention of helping out people who are struggling in their lives. Therefore, they didn’t price the program at a cost that is beyond what a person can afford. The cost of Billionaire Brain Wave is only<strong> $39</strong>. The creator of the program says that this is the price that they had to spend on developing the program. For this <strong>$39</strong>, you will get access to the 7-minute audio incorporated in the Billionaire Brain Wave program. You can now <u><a href="https://sale365day.com/get-billionnaire-brain" target="_blank" rel="nofollow noopener">get Billionaire Brain Wave from the official website</a></u> which is the only place where the program is available.</p>
<p style="text-align: justify;">The creator of Billionaire Brain Wave is providing the users of the program with a 90-day refund policy. So if you are not satisfied with the results that the program gave you even after listening to the audio tracks for a few months, then you can get a refund using the money-back guarantee.</p>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-billionnaire-brain" target="_blank" rel="nofollow noopener"><span style="font-size: large;">Click Here To Purchase Billionaire Brain Wave Program at official website</span></a></u></strong></p>
<h2 style="text-align: justify;"><strong>Billionaire Brain Wave Bonuses</strong></h2>
<p style="text-align: justify;">Along with the <a href="https://infogram.com/billionaire-brain-wave-program-scientifically-proven-by-four-neuroscience-labs-that-attracts-money-effortlessly-1hdw2jpommdqj2l">Billionaire Brain Wave program</a>, the creator is offering four free bonuses to their users. The bonuses are the ones given below:</p>
<p style="text-align: justify;"><strong>Bonus 1 - The Warren Buffett Pyramid: How To Invest Your New Fortune Into An Endless Money Supply:</strong> This is the first bonus that you get with Billionaire Brain Wave. The bonus will tell you about 3 simple steps that you can follow to earn more money in your life and improve the effectiveness of Billionaire Brain Wave.</p>
<p style="text-align: justify;"><strong>Bonus 2 - 7 Lazy Millionaire Habits: </strong>The second bonus you get with Billionaire Brain Wave is 7 Lazy Millionaire Habits. This bonus contains confessions of some of the lazy and rich people that are making millions of dollars in their lives without any hard work.</p>
<p style="text-align: justify;"><strong>Bonus 3 - Quick Cash Manifestation: </strong>The third bonus that comes with <a href="https://colab.research.google.com/drive/1M4sGwm3y0cKd5bDrn5hkBurfT5BrytMy">Billionaire Brain Wave</a> is Quick Cash Manifestation. This is a sound wave that is created with the aim of attracting wealth and money to your life. This bonus is ideal for people who want to manifest a large sum of money in their life.</p>
<p style="text-align: justify;"><strong>Bonus 4 - 500 Billionaire Brain Wave Success Stories: </strong>The last bonus that comes with <a href="https://lookerstudio.google.com/reporting/9cb64507-5056-4650-87e5-07704a76c13a/page/f6GaD">Billionaire Brain Wave</a> is 500 Billionaire Brain Wave Success Stories. This bonus contains real stories from 500 customers of the program that will tell you about how they have gained wealth and peacefulness in their lives after using Billionaire Brain Wave.</p>
<h2 style="text-align: justify;"><strong>Final words of The Billionaire Brain Wave Reviews</strong></h2>
<p style="text-align: justify;">In this Billionaire Brain Wave review, we discussed all of the things related to the program in detail to give you a clear understanding of it. Before we conclude, let’s take a quick run of the things that we talked about. Billionaire Brain Wave is a program created to help people in manifesting wealth and happiness in their lives. According to the <a href="https://medium.com/@brainwavenew/billionaire-brain-wave-program-scientifically-proven-by-labs-that-attracts-money-effortlessly-8f01437db9ee">Billionaire Brain Wave Reviews</a>, The program is created by a team of neuroscientists and psychologists based on ancient studies and scientific research. Billionaire Brain Wave consists of a 7-minute sound frequency audio that works on widening the hippocampus in your brain which leads to the development of theta waves in your brain. When there are enough active theta waves in your brain, you will be able to attract more wealth to your life and improve your overall well-being in all aspects.</p>
<p style="text-align: justify;">At present, <a href="https://billionaire-brain-wave-update.hashnode.dev/billionaire-brain-wave-program-scientifically-proven-that-attracts-money-effortlessly">Billionaire Brain Wave</a> can be accessed only through the official website of the program by paying $39. The creator of the program is offering a 90-day money-back protection for the users which ensures that spending money on Billionaire Brain Wave is risk-free. In addition, you also get four free bonuses which will make your journey with the program more effective. All in all, <a href="https://devfolio.co/@billionairewave">Billionaire Brain Wave</a> seems to be really helpful for people who want to activate their theta brain waves and attract happiness and wealth to their lives. </p>
<div class="separator" style="clear: both; text-align: center;"><a style="margin-left: 1em; margin-right: 1em;" href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiA-loHy9l5qFh9utmFAFDVvi8hIAGLxvzYv7ImT9PU-PbjHj2Xwo2dgYkfVNZQeeXTTt-61bWWL64fMDaWAH4aCHr-S7ZTcwFIYmLwsDcmwxP-9t4UyMk1OSrEolA7Nw1OjWnQ8twaekVOKGcJrvgUPoxhlKlts3ooTmG7Utc6nBw-6wXzVgvwyALBrKA/s754/wdfwf.JPG"><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiA-loHy9l5qFh9utmFAFDVvi8hIAGLxvzYv7ImT9PU-PbjHj2Xwo2dgYkfVNZQeeXTTt-61bWWL64fMDaWAH4aCHr-S7ZTcwFIYmLwsDcmwxP-9t4UyMk1OSrEolA7Nw1OjWnQ8twaekVOKGcJrvgUPoxhlKlts3ooTmG7Utc6nBw-6wXzVgvwyALBrKA/w640-h362/wdfwf.JPG" alt="" width="640" height="362" border="0" data-original-height="427" data-original-width="754" /></a> </div>
<p style="text-align: justify;"><strong><u><a href="https://sale365day.com/get-billionnaire-brain" target="_blank" rel="nofollow noopener"><span style="font-size: large;">Click Here To Purchase Billionaire Brain Wave Program at official website</span></a></u></strong></p>
<h2 style="text-align: justify;"><strong>Frequently Asked Questions</strong></h2>
<p style="text-align: justify;"><strong>How long is the audio track of Billionaire Brain Wave?</strong></p>
<p style="text-align: justify;">The audio track of <a href="https://medium.com/@brainwavenew">Billionaire Brain Wave</a> is 7 minutes long.</p>
<p style="text-align: justify;"><strong>Is it necessary to listen to the Billionaire Brain Wave audio tracking using earbuds?</strong></p>
<p style="text-align: justify;">The creator of <a href="https://sketchfab.com/3d-models/billionaire-brain-wave-is-it-legit-2023-expose-6eebc7bf56a14709b5fca6d7c7264d3b">Billionaire Brain Wave</a> suggests that you listen to it with earbuds or headphones instead of playing it out loud.</p>
<p style="text-align: justify;"><strong>How to get access to the Billionaire Brain Wave audio track?</strong></p>
<p style="text-align: justify;">You can now get access to the <a href="https://www.facebook.com/profile.php?id=61550158719435">Billionaire Brain Wave</a> on the official website of the program. Just complete the order process and then you can download the audio track to your device.</p>
<p style="text-align: justify;"><strong>How long should I listen to the Billionaire Brain Wave audio track?</strong></p>
<p style="text-align: justify;">The creator of <a href="https://zee-news-report.clubeo.com/page/billionaire-brain-wave-shocking-information-leaked-by-customers-does-it-really-works.html">Billionaire Brain Wave</a> says that the time needed to get results from listening to the audio track may vary from person to person. But the majority of the users were able to get results after a few months of listening to the audio track consistently.</p>
<p style="text-align: justify;"><strong>What to do if Billionaire Brain Wave does not work for me?</strong></p>
<p style="text-align: justify;">If Billionaire Brain Wave does not work for you, you can request a refund from the creator of the program within 90 days of accessing it from the official website.</p>
<p style="text-align: justify;">First things first, let’s start with discussing what <a href="https://vocal.media/stories/billionaire-brain-wave-100-trusted-is-it-proven-or-fake-money-booster">Billionaire Brain Wave</a> is. The program, <a href="https://billionaire-brain-wave-official.jimdosite.com/">Billionaire Brain Wave</a>, is created to help people achieve their true and maximum potential by providing them with the audio frequencies needed to activate the Theta brain wave. By doing this, Billionaire Brain Wave is supporting you in attaining all the wealth and happiness that you need in your life.</p>
<p><strong>Read More:</strong></p>
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href="https://www.protocols.io/blind/31E0F4043E7C11EEB0D10A58A9FEAC02">https://www.protocols.io/blind/31E0F4043E7C11EEB0D10A58A9FEAC02</a><br /><a href="https://www.provenexpert.com/billionaire-brain-wave-program/">https://www.provenexpert.com/billionaire-brain-wave-program/</a><br /><a href="https://www.townscript.com/e/billionaire-brain-wave-program-warning-scam-exposed-does-it-work-014021">https://www.townscript.com/e/billionaire-brain-wave-program-warning-scam-exposed-does-it-work-014021</a><br /><a href="https://vocal.media/stories/billionaire-brain-wave-100-trusted-is-it-proven-or-fake-money-booster">https://vocal.media/stories/billionaire-brain-wave-100-trusted-is-it-proven-or-fake-money-booster</a><br /><a href="https://billionaire-brain-wave-program.company.site/">https://billionaire-brain-wave-program.company.site/</a><br /><a href="https://www.forexagone.com/forum/journal-de-trading/billionaire-brain-wave-reviews-scientifically-proven-by-four-neuroscience-labs-that-attracts-money-effortlessly-58458#155593">https://www.forexagone.com/forum/journal-de-trading/billionaire-brain-wave-reviews-scientifically-proven-by-four-neuroscience-labs-that-attracts-money-effortlessly-58458#155593</a><br /><a href="https://billionairebrainwavereport.bandcamp.com/track/billionaire-brain-wave-reviews-update-is-it-really-helps-to-boost-wealth-money-quickly">https://billionairebrainwavereport.bandcamp.com/track/billionaire-brain-wave-reviews-update-is-it-really-helps-to-boost-wealth-money-quickly</a><br /><a href="https://sketchfab.com/3d-models/billionaire-brain-wave-reviews-2023-1program-72068cc329b843e393ab46f8aa6bcb56">https://sketchfab.com/3d-models/billionaire-brain-wave-reviews-2023-1program-72068cc329b843e393ab46f8aa6bcb56</a><br /><a href="https://billionairebrainwavereport.contently.com/">https://billionairebrainwavereport.contently.com/</a><br /><a href="https://www.fuzia.com/article_detail/799386/billionaire-brain-wave-program-reviews-the-reality-here">https://www.fuzia.com/article_detail/799386/billionaire-brain-wave-program-reviews-the-reality-here</a><br /><a href="https://news-clicks-report.clubeo.com/page/billionaire-brain-wave-reviews-scientifically-proven-by-four-neuroscience-labs-that-attracts-money-effortlessly.html">https://news-clicks-report.clubeo.com/page/billionaire-brain-wave-reviews-scientifically-proven-by-four-neuroscience-labs-that-attracts-money-effortlessly.html</a></p> |
krishi/clothing | 2023-08-19T12:35:25.000Z | [
"region:us"
] | krishi | null | null | null | 0 | 0 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 41259319.0
num_examples: 20
download_size: 41261925
dataset_size: 41259319.0
---
# Dataset Card for "clothing"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
tThreshold/modelsthatareNOTmadebymeiREPOSTEDthesebecauseTHEIRLINKSAREBROKEN | 2023-09-20T07:00:23.000Z | [
"license:openrail",
"region:us"
] | tThreshold | null | null | null | 0 | 0 | ---
license: openrail
---
|
aviroes/elderly_CV | 2023-08-19T12:43:32.000Z | [
"region:us"
] | aviroes | null | null | null | 0 | 0 | ---
dataset_info:
features:
- name: client_id
dtype: string
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
- name: up_votes
dtype: int64
- name: down_votes
dtype: int64
- name: age
dtype: string
- name: gender
dtype: string
- name: accent
dtype: string
- name: locale
dtype: string
- name: segment
dtype: string
splits:
- name: train
num_bytes: 432633690.18249494
num_examples: 12237
download_size: 547583971
dataset_size: 432633690.18249494
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "elderly_CV"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
BaekRok/vishing_data_2 | 2023-08-19T14:26:23.000Z | [
"region:us"
] | BaekRok | null | null | null | 0 | 0 | Entry not found |
gwj/tinali | 2023-08-19T13:15:42.000Z | [
"region:us"
] | gwj | null | null | null | 0 | 0 | Entry not found |
NarchAI1992/townhouse | 2023-08-19T14:11:53.000Z | [
"license:openrail",
"region:us"
] | NarchAI1992 | null | null | null | 0 | 0 | ---
license: openrail
---
|
longquan/llm-japanese-dataset-split_10 | 2023-08-19T13:51:20.000Z | [
"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 | 0 | 0 | ---
license: cc-by-sa-4.0
task_categories:
- question-answering
language:
- ja
- en
size_categories:
- 100K<n<1M
--- |
am-not-a-scientist/test1 | 2023-08-19T13:53:39.000Z | [
"license:unknown",
"region:us"
] | am-not-a-scientist | null | null | null | 0 | 0 | ---
license: unknown
---
|
samxm111/rlhf-reward-single-round | 2023-08-19T14:24:50.000Z | [
"region:us"
] | samxm111 | 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: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
splits:
- name: train
num_bytes: 13533459
num_examples: 20000
- name: test
num_bytes: 3460316
num_examples: 5014
download_size: 0
dataset_size: 16993775
---
# Dataset Card for "rlhf-reward-single-round"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
marasama/nva-chirico_cuvie | 2023-08-20T23:33:49.000Z | [
"region:us"
] | marasama | null | null | null | 0 | 0 | Entry not found |
VinVanGogh/Psychology-10K-Indo-Llama2-Chat | 2023-08-22T14:58:06.000Z | [
"region:us"
] | VinVanGogh | null | null | null | 2 | 0 | Entry not found |
Dippi9845/arxiv_with_fragments | 2023-08-25T09:02:20.000Z | [
"region:us"
] | Dippi9845 | null | null | null | 0 | 0 | Entry not found |
Dippi9845/cnn_with_fragments | 2023-08-25T09:09:30.000Z | [
"license:apache-2.0",
"region:us"
] | Dippi9845 | null | null | null | 0 | 0 | ---
license: apache-2.0
---
|
Back-up/test-argilla | 2023-08-19T14:42:27.000Z | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | Back-up | null | null | null | 0 | 0 | ---
size_categories: 1K<n<10K
tags:
- rlfh
- argilla
- human-feedback
---
# Dataset Card for test-argilla
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
## Dataset Description
- **Homepage:** https://argilla.io
- **Repository:** https://github.com/argilla-io/argilla
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset contains:
* A dataset configuration file conforming to the Argilla dataset format named `argilla.yaml`. This configuration file will be used to configure the dataset when using the `FeedbackDataset.from_huggingface` method in Argilla.
* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `FeedbackDataset.from_huggingface` and can be loaded independently using the `datasets` library via `load_dataset`.
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
### Load with Argilla
To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
```python
import argilla as rg
ds = rg.FeedbackDataset.from_huggingface("Back-up/test-argilla")
```
### Load with `datasets`
To load this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
```python
from datasets import load_dataset
ds = load_dataset("Back-up/test-argilla")
```
### Supported Tasks and Leaderboards
This dataset can contain [multiple fields, questions and responses](https://docs.argilla.io/en/latest/guides/llms/conceptual_guides/data_model.html) so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the [Dataset Structure section](#dataset-structure).
There are no leaderboards associated with this dataset.
### Languages
[More Information Needed]
## Dataset Structure
### Data in Argilla
The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, and **guidelines**.
The **fields** are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
| Field Name | Title | Type | Required | Markdown |
| ---------- | ----- | ---- | -------- | -------- |
| question | Question | TextField | True | False |
| answer | Answer | TextField | True | False |
The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.
| Question Name | Title | Type | Required | Description | Values/Labels |
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
| answer_quality | Answer_quality | RatingQuestion | True | How would you rate the quality of the answer? | [1, 2, 3, 4, 5] |
| answer_correction | Answer_correction | TextQuestion | False | If you think the answer is not accurate, please, correct it. | N/A |
**✨ NEW** Additionally, we also have **suggestions**, which are linked to the existing questions, and so on, named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.
Finally, the **guidelines** are just a plain string that can be used to provide instructions to the annotators. Find those in the [annotation guidelines](#annotation-guidelines) section.
### Data Instances
An example of a dataset instance in Argilla looks as follows:
```json
{
"fields": {
"answer": "Camels use the fat in their humps to keep them filled with energy and hydration for long periods of time.",
"question": "Why can camels survive for long without water?"
},
"metadata": {},
"responses": [
{
"status": "submitted",
"user_id": "dfda9e47-cd98-4c76-9cf8-2595da8d593b",
"values": {
"answer_correction": {
"value": "hello"
},
"answer_quality": {
"value": 2
}
}
}
],
"suggestions": []
}
```
While the same record in HuggingFace `datasets` looks as follows:
```json
{
"answer": "Michael Phelps has won the most gold medals of all time with 23 golds.",
"answer_correction": [],
"answer_correction-suggestion": null,
"answer_correction-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"answer_quality": [],
"answer_quality-suggestion": null,
"answer_quality-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"external_id": null,
"metadata": "{}",
"question": "What individual has won the most Olympic gold medals in the history of the games?"
}
```
### Data Fields
Among the dataset fields, we differentiate between the following:
* **Fields:** These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
* **question** is of type `TextField`.
* **answer** is of type `TextField`.
* **Questions:** These are the questions that will be asked to the annotators. They can be of different types, such as `RatingQuestion`, `TextQuestion`, `LabelQuestion`, `MultiLabelQuestion`, and `RankingQuestion`.
* **answer_quality** is of type `RatingQuestion` with the following allowed values [1, 2, 3, 4, 5], and description "How would you rate the quality of the answer?".
* (optional) **answer_correction** is of type `TextQuestion`, and description "If you think the answer is not accurate, please, correct it.".
* **✨ NEW** **Suggestions:** As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
* (optional) **answer_quality-suggestion** is of type `rating` with the following allowed values [1, 2, 3, 4, 5].
* (optional) **answer_correction-suggestion** is of type `text`.
Additionally, we also have one more field which is optional and is the following:
* **external_id:** This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.
### Data Splits
The dataset contains a single split, which is `train`.
## 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 guidelines
Please, read the question carefully and try to answer it as accuracy as possible.
#### 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] |
Chanblock/250_remates | 2023-08-19T14:56:32.000Z | [
"region:us"
] | Chanblock | null | null | null | 0 | 0 | Entry not found |
aviroes/mascir_elderly_voice | 2023-08-19T14:57:14.000Z | [
"region:us"
] | aviroes | null | null | null | 1 | 0 | ---
dataset_info:
features:
- name: client_id
dtype: string
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
- name: up_votes
dtype: int64
- name: down_votes
dtype: int64
- name: age
dtype: string
- name: gender
dtype: string
- name: accent
dtype: string
- name: locale
dtype: string
- name: segment
dtype: string
splits:
- name: validated
num_bytes: 744166102.2652498
num_examples: 21211
download_size: 877313436
dataset_size: 744166102.2652498
configs:
- config_name: default
data_files:
- split: validated
path: data/validated-*
---
# Dataset Card for "mascir_elderly_voice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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