id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 68.7k ⌀ | citation stringlengths 0 10.7k ⌀ | cardData null | likes int64 0 3.55k | downloads int64 0 10.1M | card stringlengths 0 1.01M |
|---|---|---|---|---|---|---|---|---|---|
Falah/photography_prompts | 2023-09-10T12:53:20.000Z | [
"region:us"
] | Falah | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: prompts
dtype: string
splits:
- name: train
num_bytes: 36884997
num_examples: 100000
download_size: 5112133
dataset_size: 36884997
---
# Dataset Card for "photography_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Chadgpt-fam/sexting_dataset | 2023-09-11T16:43:51.000Z | [
"region:us"
] | Chadgpt-fam | null | null | null | 0 | 6 | Entry not found |
malteee/SynTruckCab | 2023-09-11T08:40:55.000Z | [
"region:us"
] | malteee | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
- name: bbox
sequence: float64
splits:
- name: train
num_bytes: 168498871.0
num_examples: 170
download_size: 99009470
dataset_size: 168498871.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "SynTruckCab"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
ccore/wikipedia-QA | 2023-09-11T21:46:03.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"wikipeda",
"markdown",
"qa",
"region:us"
] | ccore | null | null | null | 0 | 6 | ---
task_categories:
- text-generation
tags:
- wikipeda
- markdown
- qa
size_categories:
- 10K<n<100K
---
GoodWiki Dataset in QA format, asking using description
and having the question at the end of each page again for the network to learn how to create questions from content |
yjching/sas_documentation_v3 | 2023-09-12T07:19:37.000Z | [
"region:us"
] | yjching | null | null | null | 0 | 6 | Entry not found |
Roman98/galapershon | 2023-09-12T10:44:53.000Z | [
"license:other",
"region:us"
] | Roman98 | null | null | null | 0 | 6 | ---
license: other
---
|
AndyLiu0104/Soldering-Data-Tiny-Complete-Sentence | 2023-09-12T14:33:55.000Z | [
"region:us"
] | AndyLiu0104 | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 18013335.875
num_examples: 10481
download_size: 11576663
dataset_size: 18013335.875
---
# Dataset Card for "Soldering-Data-Tiny-Complete-Sentence"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Yakidev/AlbanianSpeech | 2023-09-12T14:51:37.000Z | [
"task_categories:text-to-speech",
"language:sq",
"license:mit",
"region:us"
] | Yakidev | null | null | null | 0 | 6 | ---
license: mit
language:
- sq
task_categories:
- text-to-speech
--- |
AarnoDorian/discord_bot_test | 2023-09-12T19:13:06.000Z | [
"license:cc-by-nc-nd-3.0",
"region:us"
] | AarnoDorian | null | null | null | 0 | 6 | ---
license: cc-by-nc-nd-3.0
---
|
ze-lin/wiki5m_trans_bloomz | 2023-09-12T14:22:09.000Z | [
"region:us"
] | ze-lin | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
dataset_info:
features:
- name: head_id
dtype: string
- name: head
dtype: string
- name: relation
dtype: string
- name: tail_id
dtype: string
- name: tail
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 9678522818
num_examples: 20599278
- name: valid
num_bytes: 2429054
num_examples: 5163
- name: test
num_bytes: 2407123
num_examples: 5133
download_size: 4290706751
dataset_size: 9683358995
---
# Dataset Card for "wiki5m_trans_bloomz"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
alexcom/Emociones-BackTranslated-Preprocessed | 2023-09-12T17:09:57.000Z | [
"region:us"
] | alexcom | null | null | null | 0 | 6 | ---
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: Tweet
dtype: string
- name: label
dtype:
class_label:
names:
'0': others
'1': disgust
'2': joy
'3': surprise
'4': fear
'5': anger
'6': sadness
splits:
- name: train
num_bytes: 1915218
num_examples: 12051
- name: validation
num_bytes: 240243
num_examples: 1640
- name: test
num_bytes: 278334
num_examples: 1682
download_size: 1045846
dataset_size: 2433795
---
# Dataset Card for "Emociones-BackTranslated-Preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
wuliangfo/Chinese-Pixiv-Novel | 2023-09-18T11:27:13.000Z | [
"license:openrail",
"region:us"
] | wuliangfo | null | null | null | 3 | 6 | ---
license: openrail
---
这是一个R-18（含R-18G）简体中文小说数据集，来自Pixiv网站
共有145163本，数据截止北京时间2023年9月12日晚7点
存储格式为Pixiv/userID/ID.txt，数据为txt正文，Pixiv/userID/ID-meta.txt，数据为额外信息（包括tag、title、Description等）
数据未经过清洗，可能包含低质量内容。 |
tomdavies32/13923 | 2023-09-13T09:17:45.000Z | [
"region:us"
] | tomdavies32 | null | null | null | 0 | 6 | Entry not found |
kartashoffv/vedomosti_articles | 2023-09-13T11:51:54.000Z | [
"license:mit",
"region:us"
] | kartashoffv | null | null | null | 0 | 6 | ---
license: mit
---
|
marianbasti/argentina_codes-constitutions_questions_labels | 2023-09-14T02:56:16.000Z | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:es",
"license:cc-by-nc-4.0",
"region:us"
] | marianbasti | null | null | null | 0 | 6 | ---
license: cc-by-nc-4.0
task_categories:
- text-classification
language:
- es
size_categories:
- 10K<n<100K
---
Dataset sintético creado tomando cada artículo de los códigos y constituciones argentinas, formulando preguntas con marianbasti/Llama-2-13b-alpaca-spanish
Las categorias presentes son:
Aduanero
Aeronautico
Civil-y-Comercial
de-Mineria
Electoral
Penal
Procesal-Civil-y-Comercial
Procesal-Penal
Procesal-Penal-Federal
Buenos-Aires
Catamarca
Chaco
Chubut
Ciudad-Autonoma-de-Buenos-Aires
Cordoba
Corrientes
Entre-Rios
Formosa
Jujuy
La-Pampa
La-Rioja
Mendoza
Misiones
Nacional
Neuquen
Rio-Negro
Salta
San-Juan
San-Luis
Santa-Cruz
Santa-Fe
Santiago-del-Estero
Tierra-del-Fuego-Antartida-Islas-Atlantico-Sur
Tucuman |
mindchain/demo_021 | 2023-09-14T09:20:25.000Z | [
"region:us"
] | mindchain | null | null | null | 0 | 6 | Entry not found |
huangyt/FINETUNE3_TEST4 | 2023-09-14T11:51:57.000Z | [
"license:openrail",
"region:us"
] | huangyt | null | null | null | 0 | 6 | ---
license: openrail
---
|
ativilambit/neu-faq | 2023-09-15T00:00:14.000Z | [
"region:us"
] | ativilambit | null | null | null | 0 | 6 | Entry not found |
aelneima/MaWPS-ar-addCN | 2023-09-15T08:20:53.000Z | [
"task_categories:text2text-generation",
"task_ids:explanation-generation",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"language:en",
"language:ar",
"license:mit",
"region:us"
] | aelneima | null | null | null | 0 | 6 | ---
annotations_creators:
- crowdsourced
language:
- en
- ar
language_creators:
- found
license:
- mit
multilinguality:
- multilingual
pretty_name: MAWPS_ar
size_categories:
- 1K<n<10K
source_datasets: []
task_categories:
- text2text-generation
task_ids:
- explanation-generation
---
# Dataset Card for MAWPS_ar
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
### Dataset Summary
MAWPS: A Math Word Problem Repository
### Supported Tasks
Math Word Problem Solving
### Languages
Supports Arabic and English
## Dataset Structure
### Data Fields
- `text_en`: a `string` feature.
- `text_ar`: a `string` feature.
- `eqn`: a `string` feature.
### Data Splits
|train|validation|test|
|----:|---------:|---:|
| 3636| 1040| 520|
## Dataset Creation
### Curation Rationale
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the source language producers?
[Rik Koncel-Kedziorski**, Subhro Roy**, Aida Amini, Nate Kushman and Hannaneh Hajishirzi.](https://aclanthology.org/N16-1136.pdf)
### Annotations
#### Annotation process
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the annotators?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Personal and Sensitive Information
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Discussion of Biases
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Other Known Limitations
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Additional Information
### Dataset Curators
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Licensing Information
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Citation Information
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Contributions
Special thanks to Associate Professor Marwan Torki and all my colleagues in CC491N (NLP) class for helping me translate this dataset. |
Bhargav0044/svarah1 | 2023-09-15T12:08:10.000Z | [
"region:us"
] | Bhargav0044 | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: duration
dtype: float64
- name: text
dtype: string
- name: audio
dtype: audio
splits:
- name: train
num_bytes: 1088092036.104
num_examples: 6656
download_size: 1094811785
dataset_size: 1088092036.104
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "svarah1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Lanave/spanish_dataset_for_donut | 2023-09-15T20:21:23.000Z | [
"region:us"
] | Lanave | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 34918115633.4
num_examples: 399150
- name: validation
num_bytes: 4328647400.5
num_examples: 50650
- name: test
num_bytes: 4559977530.8
num_examples: 50200
download_size: 42784854716
dataset_size: 43806740564.700005
---
# Dataset Card for "spanish_dataset_for_donut"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mtc/faithfulness_benchmark_sanity_check_frank | 2023-09-15T14:54:40.000Z | [
"region:us"
] | mtc | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: hash
dtype: string
- name: model_name
dtype: string
- name: article
dtype: string
- name: summary
dtype: string
- name: reference
dtype: string
- name: summary_sentences
sequence: string
- name: summary_sentences_annotations
list:
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sequence: string
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sequence: string
- name: annotator_2
sequence: string
- name: split
dtype: string
- name: is_faithful
dtype: bool
- name: NoE_count
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: test
num_bytes: 1068333
num_examples: 318
download_size: 499365
dataset_size: 1068333
---
# Dataset Card for "faithfulness_benchmark_sanity_check_frank"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
vlsp-2023-vllm/hhh_alignment | 2023-09-20T04:24:50.000Z | [
"region:us"
] | vlsp-2023-vllm | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: input
dtype: string
- name: targets
struct:
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sequence: string
- name: labels
sequence: int32
- name: metadata
struct:
- name: subset
dtype: string
splits:
- name: test
num_bytes: 285938
num_examples: 221
download_size: 66013
dataset_size: 285938
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
# Dataset Card for "hhh_alignment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
nirbhaysinghnarang/Mahabharat | 2023-09-15T22:08:41.000Z | [
"region:us"
] | nirbhaysinghnarang | null | null | null | 0 | 6 | Entry not found |
anaisk/v2_sinespacios | 2023-09-15T22:36:29.000Z | [
"region:us"
] | anaisk | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: Sentence
dtype: string
- name: Audio
dtype: audio
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 314514171.93
num_examples: 9730
download_size: 357778902
dataset_size: 314514171.93
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "v2_sinespacios"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Cyleux/v66convotraining | 2023-09-16T06:27:41.000Z | [
"region:us"
] | Cyleux | null | null | null | 0 | 6 | Entry not found |
binod9/pqpa | 2023-09-16T06:32:13.000Z | [
"region:us"
] | binod9 | null | null | null | 0 | 6 | ###Human: Śrīla Prabhupāda: This movement is especially meant to enable a human being to reach the real goal of life.
###Assistant: The real goal... ?
###Human: Is the real goal of life to know God?
###Assistant: Yes. To go back home, back to Godhead. That is the real goal of life. The water that comes from the sea forms clouds, the clouds fall down as rain, and the actual goal is to flow down the river and again enter the sea. So, we have come from God, and now we are embarrassed by material life. Therefore, our aim should be to get out of this embarrassing situation and go back home, back to Godhead. This is the real goal of life.
###Human: mām upetya punar janma duḥkhālayam aśāśvatam nāpnuvanti mahātmānaḥ saṁsiddhiṁ paramāṁ gatāḥ ["After attaining Me, the great souls, who are yogīs in devotion, never return to this temporary world, which is full of miseries, because they have attained the highest perfection."]
###Assistant: That is the version of Bhagavad-gītā. If anyone comes to Me—mām upetya: he does not come back again. Where? To this place—duḥkhālayam aśāśvatam [Bg. 8.15]. This place is the abode of miseries. Everyone knows, but they have been befooled by so-called leaders. Material life is miserable life. Kṛṣṇa says, God says, that this place is duḥkhālayam—it is a place of miseries. And it is also aśāśvatam, temporary. You cannot make a compromise: “All right, let it be miserable. I shall remain here as an American or Indian.” No. That also you cannot do. You cannot remain an American. You may think that, having been born in America, you are very happy. But you cannot remain an American for long. You will have to be kicked out of that place. And your next life you do not know! Therefore, it is duḥkhālayam aśāśvatam [Bg. 8.15]—miserable and temporary. That is our philosophy.
###Human: But when you have some knowledge of God, then life is not so miserable?
###Assistant: No! Some knowledge will not do. You must have perfect knowledge.
###Human: janma karma ca me divyam evaṁ yo vetti tattvataḥ [Bg. 4.9] Tattvataḥ means “perfectly.” Perfect knowledge is being taught in Bhagavad-gītā. So, we are giving everyone in human society a chance to learn Bhagavad-gītā as it is and make his life perfect. That is the Kṛṣṇa consciousness movement. What does your science say about the transmigration of the soul?
###Assistant: Bob: I think... that science... cannot deny or affirm it. Science does not know it.
###Human: Therefore I say that science is imperfect.
###Assistant: Bob: Science may. though, say something. It is said in science that energy is never destroyed; it is changed.
###Human: That’s all right. But how the energy is working in the future—that science does not know. How is the energy diverted? How, by different manipulations, is the energy working differently? For instance, electrical energy. By different handling it is operating the heats and it is operating the refrigerator. They are just the opposite, but the electrical energy is the same. Similarly, this energy—living energy—how is it being directed? Which way is it going? How is it fructifying in the next life? That they do not know. But in Bhagavad-gītā it is very simply stated.
###Assistant: vāsāṁsi jīrṇāni yathā vihāya [Bg. 2.22] You are covered by a dress, by a shirt. When this shirt is unusable, you change it. Similarly, this body is just like a shirt and coat. When it is no longer workable, we have to change it.
###Human: What is the “we” that has to change? What is constant?
###Assistant: That is the soul.
###Human: From one life to the next?
###Assistant: That is the soul—I. What “you” is speaking? You! What “I” is speaking? Identity: ātmā, or soul.
###Human: My soul is different from your soul?
###Assistant: Yes. You are an individual soul, I am an individual soul.
###Human: You have removed yourself from karmic influences. If I was to remove myself from karmic influences, would our souls be the same or different?
###Assistant: The soul is of the same quality in all. You are under a certain conception of life at the present moment, and these countrymen of yours [the Kṛṣṇa conscious devotees] were under a certain conception of life, but by training they have taken to another conception of life. So the ultimate training is how to become Kṛṣṇa conscious. That is the perfection.
###Human: If two people are Kṛṣṇa conscious, is their soul the same?
###Assistant: The soul is always the same.
###Human: In each person? In each person is it the same?
###Assistant: Yes.
###Human: [pointing to two devotees] If these two are Kṛṣṇa conscious, are their souls the same?
###Assistant: The soul is the same but always individual, even if one is not Kṛṣṇa conscious. For instance, you are a human being, and I am a human being. Even if I am not a Christian, even if you are not a Hindu, still we are human beings. Similarly, the soul may not be Kṛṣṇa conscious, or he may be Kṛṣṇa conscious—it doesn’t matter. But the soul is the soul.
###Human: Can you tell me more about this?
###Assistant: Soul—as pure spirit, all souls are equal. Even in an animal. Therefore it is said, paṇḍitāḥ sama-darśinaḥ: [Bg. 5.18] those who are actually learned do not see the outward covering, either in a human being or in an animal.
###Human: If I may ask another question on this?
###Assistant: Yes.
###Human: I have considered the soul somewhat as part of God. At times I think I feel God. I’m here, and you may say God is here. So if the soul is inside me, then should I be able
to feel God inside me? Not all of God, I mean, but a...
###Assistant: Yes. God is inside also. God is everywhere. God is inside and outside also. This is to be known.
###Human: How do you feel God inside you?
###Assistant: Not in the beginning, but you have to know from the śāstras [scriptures], by the Vedic information. For example, in the Bhagavad-gītā it is said, īśvaraḥ sarva-bhūtānāṁ hṛd-deśe ’rjuna tiṣṭhati: [Bg. 18.61] God is there in everyone’s heart. Paramāṇu-cayāntara-stham: God is also within every atom. So this is the first information. And then, by the yogic process, you have to realize it.
###Human: Yogic process?
###Assistant: Yes.
###Human: Is chanting Hare Kṛṣṇa such a yogic process?
###Assistant: Yes, it is also a yogic process.
###Human: What kind of yogic process must I do to find out—to feel this information—to feel the soul inside?
###Assistant: Yes, there are many different yogic Processes, but for this age this process is very nice.
###Human: Chanting.
###Assistant: Yes.
###Human: Through this I can feel not only God outside but God inside?
###Assistant: You’ll understand everything of God—how God is inside, how God is outside, how God is working. Everything will be revealed. By this attitude of service, God will reveal Himself. You cannot understand God by your endeavor. Only if God reveals Himself. For instance, when the sun is out of your sight at night, you cannot see it by your torchlight, or any light. But in the morning you can see the sun automatically. without any torchlight. Similarly, you have to create a situation—you have to put yourself in a situation—in which God will be revealed. It is not that by some method you can ask God, “Please come. I will see You.” No, God is not your order carrier.
###Human: You must please God for Him to reveal Himself. Is that correct?
###Assistant: Yes.
###Human: How do you know when you are pleasing God?
###Assistant: When we see Him. Then you will understand. Just as, when you eat, you do not require to ask anyone whether you are feeling strength or your hunger is satisfied. If you eat, you understand that you are feeling energy. You don’t need to inquire from anyone. Similarly. if you actually serve God, then you will understand, “God is dictating to me. God is there. I am seeing God.”
###Human: Or God’s representative.
###Assistant: Yes.
###Human: It comes easier.
###Assistant: You have to go through God’s representative.
###Human: How to please God’s representative?
###Assistant: You have to carry out his orders, that’s all. God’s representative is the guru. He asks you to do this, to do that—if you do that, that is pleasing.
###Human: yasya prasādād bhagavat-prasādaḥ ** “By the mercy of the spiritual master one is benedicted by the mercy of Kṛṣṇa.” If you please God’s representative, then automatically God becomes pleased, and thus you can directly see Him.
###Assistant: An Indian gentleman: How to please God’s representative?
###Assistant: You have to carry out his orders, that’s all. God’s representative is the guru. He asks you to do this, to do that—if you do that, that is pleasing.
###Human: The guru should be accepted as a representative of God?
###Assistant: Yes, the guru is God’s representative. The guru is the external manifestation of Kṛṣṇa.
###Human: But different from the incarnations of Kṛṣṇa that come?
###Assistant: Yes.
###Human: In what way is the external manifestation of the guru different from the external manifestation of, let us say, Kṛṣṇa or Caitanya when They come to earth?
###Assistant: The guru is the representative of Kṛṣṇa. So there are symptoms of who is a guru. The general symptoms are described in the Vedas.
###Human: tad-vij�ānārthaṁ sa gurum evābhigacchet samit-pāṇiḥ śrotriyaṁ brahma-niṣṭham [MU 1.2.12] A guru must come in a disciplic succession, and he must have heard thoroughly about the Vedas from his spiritual master. Generally a guru’s symptom is that he is a perfect devotee, that’s all. And he serves Kṛṣṇa by preaching His message.
###Assistant: Bob: Lord Caitanya—He was a different type of guru than you are?
###Assistant: No, no. Gurus cannot be of different types. All gurus are of one type.
###Human: But He was—was He also an incarnation at the same time?
###Assistant: Yes, He is Kṛṣṇa Himself, but He is representing the guru.
###Human: I... I see.
###Assistant: Yes.
###Human: And then...
###Assistant: Because Kṛṣṇa was God, He demanded:
###Human: sarva-dharmān parityajya mām ekaṁ śaraṇaṁ vraja [Bg. 18.66] “Abandon all varieties of religion and just surrender unto Me.” But people misunderstood Him. Therefore Kṛṣṇa again came as a guru and taught people how to surrender to Kṛṣṇa.
###Assistant: Śyāmasundara: Doesn’t He say in Bhagavad-gītā, “I am the spiritual master”?
###Assistant: Yes, He is the original spiritual master because He was accepted as spiritual master by Arjuna. So what is the difficulty? Śiṣyas te ’haṁ śādhi māṁ tvāṁ prapannam. Arjuna told the Lord, “I am Your disciple, and a soul surrendered unto You. Please instruct me.” So unless He is a spiritual master how does Arjuna become His disciple? He is the original guru. Tene brahma hṛdā ya ādi-kavaye: “It is He only who first imparted Vedic knowledge unto the heart of Brahmā, the first created being.” Therefore He is the original guru.
###Human: Kṛṣṇa.
###Assistant: Yes. He is the original guru. Then His disciple Brahmā
is a guru, then his disciple Nārada is a guru, then his disciple Vyāsa is a guru—in this way there is a guru-paramparā [disciplic succession of gurus]. Evaṁ paramparā-prāptam: the transcendental knowledge is received through the disciplic succession.
###Human: So a guru receives his knowledge through the disciplic succession, not directly from Kṛṣṇa? Do you receive some knowledge directly from Kṛṣṇa?
###Assistant: Yes. Kṛṣṇa’s direct instruction is there: Bhagavad-gītā.
###Human: I see, but...
###Assistant: But you have to learn it through the disciplic succession, otherwise you will misunderstand it.
###Human: But presently you do not receive information directly from Kṛṣṇa? It comes through the disciplic succession from the books?
###Assistant: There is no difference. Suppose I say that this is a pencil. If you say to him, “There is a pencil,” and if he says to another man, “This is a pencil,” then what is the difference between his instruction and my instructions?
###Human: Kṛṣṇa’s mercy allows you to know this now?
###Assistant: You can take Kṛṣṇa’s mercy also, provided it is delivered as it is. Just as we are teaching Bhagavad-gītā In Bhagavad-gītā Kṛṣṇa says: sarva-dharmān parityajya mām ekaṁ śaraṇaṁ vraja [Bg. 18.66] “Just give up all other forms of religion and simply surrender unto Me.” Now we are saying that you should give up everything and surrender to Kṛṣṇa. Therefore, there is no difference between Kṛṣṇa’s instruction and our instruction. There is no deviation. So if you receive knowledge in that perfect way, that is as good as receiving instruction directly from Kṛṣṇa. But we don’t change anything.
###Human: When I pray reverently, faithfully, does Kṛṣṇa hear me?
###Assistant: Yes.
###Human: From me to Him?
###Assistant: Yes, because He is within your heat He is always hearing you—whether you are praying or not praying. When you are doing some nonsense, He is also hearing you. And when you pray, that is very good—welcome.
###Human: To Kṛṣṇa’s ear, is praying louder than nonsense?
###Assistant: No. He is all-perfect. He can hear everything. Even if you don’t speak, even if you simply think, “I shall do it,” then He hears you. Sarvasya cāhaṁ hṛdi sanniviṣṭaḥ: Kṛṣṇa is seated in everyone’s heart.
###Human: But one should pray—is that so?
###Assistant: That is his business—praying.
###Human: Whose business?
###Assistant: Every living entity’s. That is the only business. Eko bahūnāṁ yo vidadhāti kāmān. That is the statement of the Vedas.
###Human: What does that mean?
###Assistant: He supplies everything to everyone. He is supplying food to everyone. So He is the Father. So why should you not pray, “Father, give me this”? Just as in the Christian Bible there is, “Father, give us our daily bread.” That is good—they are accepting the Supreme Father. But grown-up children should not ask from the father; rather, they should be prepared to serve the father. That is bhakti [devotion].
###Human: My questions you solve so nicely. [Everyone laughs with affection.]
###Assistant: Thank you very much.
###Human: So, should I ask you another question now?
###Assistant: Oh, yes. Yes! |
cs2/check | 2023-09-16T18:58:15.000Z | [
"region:us"
] | cs2 | null | null | null | 0 | 6 | Entry not found |
Khushal212/Train_test_validate | 2023-09-16T21:46:36.000Z | [
"region:us"
] | Khushal212 | null | null | null | 0 | 6 | Entry not found |
tttarun/llama2_hindi | 2023-09-17T07:55:49.000Z | [
"license:mit",
"region:us"
] | tttarun | null | null | null | 0 | 6 | ---
license: mit
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 26205181
num_examples: 3767
download_size: 8375550
dataset_size: 26205181
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Omar944/T269 | 2023-09-17T10:52:06.000Z | [
"license:openrail",
"region:us"
] | Omar944 | null | null | null | 0 | 6 | ---
license: openrail
---
|
winglian/oo-deduped-gpt4 | 2023-09-17T12:22:05.000Z | [
"region:us"
] | winglian | null | null | null | 1 | 6 | Entry not found |
xbsd/xbsd-guanaco-llama2-1k | 2023-09-17T19:48:28.000Z | [
"region:us"
] | xbsd | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 1654448
num_examples: 1000
download_size: 966693
dataset_size: 1654448
---
# Dataset Card for "xbsd-guanaco-llama2-1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
jkruk/communities_content | 2023-09-18T00:57:07.000Z | [
"region:us"
] | jkruk | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: author
dtype: string
- name: subreddit
dtype: string
- name: subreddit_id
dtype: string
- name: id
dtype: string
- name: content
dtype: string
- name: summary
dtype: string
splits:
- name: train
num_bytes: 1747840548
num_examples: 853048
download_size: 1054847711
dataset_size: 1747840548
---
# Dataset Card for "communities_content"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
legacy107/articles_for_qa_wikipedia | 2023-09-18T02:43:45.000Z | [
"region:us"
] | legacy107 | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: title
dtype: string
- name: article
dtype: string
splits:
- name: train
num_bytes: 307503219
num_examples: 8886
download_size: 174908641
dataset_size: 307503219
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "articles_for_qa_wikipedia"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
NamAnh/aima_ds | 2023-09-19T04:35:27.000Z | [
"region:us"
] | NamAnh | null | null | null | 0 | 6 | Entry not found |
aelneima/SaudiIrony_editedCN | 2023-09-18T11:28:20.000Z | [
"region:us"
] | aelneima | null | null | null | 0 | 6 | Entry not found |
vincenttttt/departmentTOcollege | 2023-09-18T12:16:42.000Z | [
"region:us"
] | vincenttttt | null | null | null | 0 | 6 | Entry not found |
Harene/guanaco-llama2-100-rows | 2023-09-18T13:07:39.000Z | [
"region:us"
] | Harene | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 184326
num_examples: 100
download_size: 111858
dataset_size: 184326
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "guanaco-llama2-100-rows"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
FanChen0116/bus_few4_16x | 2023-09-27T07:29:01.000Z | [
"region:us"
] | FanChen0116 | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: tokens
sequence: string
- name: labels
sequence:
class_label:
names:
'0': O
'1': I-from_location
'2': B-from_location
'3': B-leaving_date
'4': I-leaving_date
'5': I-to_location
'6': B-to_location
- name: request_slot
sequence: string
splits:
- name: train
num_bytes: 217504
num_examples: 1120
- name: validation
num_bytes: 6900
num_examples: 35
- name: test
num_bytes: 70618
num_examples: 377
download_size: 0
dataset_size: 295022
---
# Dataset Card for "bus_few4_16x"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
FanChen0116/bus_few4_16x_empty | 2023-09-27T07:29:11.000Z | [
"region:us"
] | FanChen0116 | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: tokens
sequence: string
- name: labels
sequence:
class_label:
names:
'0': O
'1': I-from_location
'2': B-from_location
'3': B-leaving_date
'4': I-leaving_date
'5': I-to_location
'6': B-to_location
- name: request_slot
sequence: string
splits:
- name: train
num_bytes: 193483
num_examples: 1120
- name: validation
num_bytes: 6128
num_examples: 35
- name: test
num_bytes: 70618
num_examples: 377
download_size: 0
dataset_size: 270229
---
# Dataset Card for "bus_few4_16x_empty"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
garcianacho/human_genome | 2023-09-18T13:24:41.000Z | [
"region:us"
] | garcianacho | null | null | null | 0 | 6 | Entry not found |
Falah/stories_1_prompts | 2023-09-18T15:21:33.000Z | [
"region:us"
] | Falah | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: prompts
dtype: string
splits:
- name: train
num_bytes: 3381
num_examples: 11
download_size: 5022
dataset_size: 3381
---
# Dataset Card for "stories_1_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Falah/stories_2_prompts | 2023-09-18T15:21:40.000Z | [
"region:us"
] | Falah | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: prompts
dtype: string
splits:
- name: train
num_bytes: 3595
num_examples: 12
download_size: 5193
dataset_size: 3595
---
# Dataset Card for "stories_2_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
johannes-garstenauer/l_cls_labelled_from_distilbert_masking_heaps | 2023-09-18T14:16:59.000Z | [
"region:us"
] | johannes-garstenauer | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: last_cls
sequence: float32
- name: label
dtype: int64
splits:
- name: train
num_bytes: 3084000
num_examples: 1000
download_size: 0
dataset_size: 3084000
---
# Dataset Card for "l_cls_labelled_from_distilbert_masking_heaps"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
ebony59/AO3_fandom_IO | 2023-09-18T15:20:55.000Z | [
"region:us"
] | ebony59 | null | null | null | 1 | 6 | ---
dataset_info:
features:
- name: model_input
dtype: string
- name: model_output
dtype: string
splits:
- name: train
num_bytes: 13860266
num_examples: 9402
download_size: 0
dataset_size: 13860266
---
# Dataset Card for "AO3_fandom_IO"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
usvsnsp/temp-perplexities | 2023-09-18T16:25:13.000Z | [
"region:us"
] | usvsnsp | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: index
dtype: int32
- name: loss
dtype: float32
- name: prompt_perplexity
dtype: float32
- name: generation_perplexity
dtype: float32
- name: sequence_perplexity
dtype: float32
splits:
- name: pile.duped.6.9b
num_bytes: 100000000
num_examples: 5000000
- name: memories.duped.6.9b
num_bytes: 42419520
num_examples: 2120976
- name: memories.duped.12b
num_bytes: 47646560
num_examples: 2382328
- name: memories.deduped.12b
num_bytes: 37424320
num_examples: 1871216
download_size: 255603395
dataset_size: 227490400
---
# Dataset Card for "temp-perplexities"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yoandrey/wiki_text | 2023-09-18T19:49:17.000Z | [
"region:us"
] | yoandrey | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: id
dtype: int32
- name: text
dtype: string
splits:
- name: train
num_bytes: 14903122606
num_examples: 35167920
download_size: 9399662602
dataset_size: 14903122606
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "wiki_text"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
ura-hcmut/synthetic_reasoning | 2023-09-19T02:37:10.000Z | [
"task_categories:text2text-generation",
"language:vi",
"license:cc-by-nc-sa-4.0",
"region:us"
] | ura-hcmut | null | null | null | 0 | 6 | ---
license: cc-by-nc-sa-4.0
task_categories:
- text2text-generation
language:
- vi
configs:
- config_name: induction_gcp
data_files:
- split: train
path: synthetic_reasoning_gcp_induction_training.csv
- split: test
path: synthetic_reasoning_gcp_induction.csv
- config_name: induction_azr
data_files:
- split: train
path: synthetic_reasoning_azr_induction_training.csv
- split: test
path: synthetic_reasoning_azr_induction.csv
- config_name: pattern_match_gcp
data_files:
- split: train
path: synthetic_reasoning_gcp_pattern_match_training.csv
- split: test
path: synthetic_reasoning_gcp_pattern_match.csv
- config_name: pattern_match_azr
data_files:
- split: train
path: synthetic_reasoning_azr_pattern_match_training.csv
- split: test
path: synthetic_reasoning_azr_pattern_match.csv
- config_name: variable_substitution_gcp
data_files:
- split: train
path: synthetic_reasoning_gcp_variable_substitution_training.csv
- split: test
path: synthetic_reasoning_gcp_variable_substitution.csv
- config_name: variable_substitution_azr
data_files:
- split: train
path: synthetic_reasoning_azr_variable_substitution_training.csv
- split: test
path: synthetic_reasoning_azr_variable_substitution.csv
---
# Synthetic reasoning dataset
Original version:
- https://huggingface.co/datasets/lighteval/synthetic_reasoning
Translation source code: https://github.com/martinakaduc/ura-llama/tree/main/dataset_scripts/custom_datasets |
jbac208/ws5_xmls | 2023-09-19T07:32:39.000Z | [
"region:us"
] | jbac208 | null | null | null | 0 | 6 | Entry not found |
magnus42/finance_data_200rows | 2023-09-19T07:45:37.000Z | [
"region:us"
] | magnus42 | null | null | null | 0 | 6 | Entry not found |
achieverprince/llama-2-Patabima-chunked | 2023-09-19T13:39:50.000Z | [
"region:us"
] | achieverprince | null | null | null | 0 | 6 | Entry not found |
mohsen2/snappfood5 | 2023-09-19T14:32:34.000Z | [
"region:us"
] | mohsen2 | null | null | null | 0 | 6 | Entry not found |
mq-ised/tree-image | 2023-09-19T19:15:22.000Z | [
"region:us"
] | mq-ised | \\n | \\n | null | 0 | 6 | Entry not found |
Falah/new_photorealistic_prompts | 2023-09-20T07:37:34.000Z | [
"region:us"
] | Falah | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: prompts
dtype: string
splits:
- name: train
num_bytes: 1492287
num_examples: 10000
download_size: 345550
dataset_size: 1492287
---
# Dataset Card for "new_photorealistic_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
result-muse256-muse512-wuerst-sdv15/58cedb88 | 2023-09-20T12:03:33.000Z | [
"region:us"
] | result-muse256-muse512-wuerst-sdv15 | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 177
num_examples: 10
download_size: 1372
dataset_size: 177
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "58cedb88"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
result-muse256-muse512-wuerst-sdv15/f8dcc2ec | 2023-09-20T12:03:35.000Z | [
"region:us"
] | result-muse256-muse512-wuerst-sdv15 | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 177
num_examples: 10
download_size: 1372
dataset_size: 177
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "f8dcc2ec"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
adamo1139/PS_AD_Office_01 | 2023-09-20T20:22:42.000Z | [
"license:unknown",
"region:us"
] | adamo1139 | null | null | null | 0 | 6 | ---
license: unknown
---
Synthetic dataset of PowerShell, Active Directory and I think some Office 365 Q&A |
larryvrh/OASST_Top1_2023-08-25-En_Only | 2023-09-21T00:24:43.000Z | [
"task_categories:text-generation",
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:en",
"region:us"
] | larryvrh | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: conversation
list:
- name: from
dtype: string
- name: value
dtype: string
splits:
- name: train
num_bytes: 9601409
num_examples: 5010
download_size: 5257845
dataset_size: 9601409
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-generation
- conversational
language:
- en
size_categories:
- 1K<n<10K
---
# Dataset Card for "OASST_Top1_2023-08-25-En_Only"
Filtered from [OpenAssistant/oasst_top1_2023-08-25](https://huggingface.co/datasets/OpenAssistant/oasst_top1_2023-08-25). |
Falah/retro_style_photography | 2023-09-21T08:49:36.000Z | [
"region:us"
] | Falah | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: prompts
dtype: string
splits:
- name: train
num_bytes: 984913
num_examples: 10000
download_size: 13621
dataset_size: 984913
---
# Dataset Card for "retro_style_photography"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
NegarMov/VTONHD_segmented_mask | 2023-09-21T12:14:34.000Z | [
"region:us"
] | NegarMov | null | null | null | 0 | 6 | Entry not found |
AfshanAhmed/practice | 2023-09-28T04:47:02.000Z | [
"region:us"
] | AfshanAhmed | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 107738558.0
num_examples: 105
download_size: 107745050
dataset_size: 107738558.0
---
# Dataset Card for "practice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
TanvirOnHF/greetings | 2023-09-22T13:33:02.000Z | [
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"license:cdla-sharing-1.0",
"GPT-3.5",
"GPT-4",
"Claude",
"Bard",
"Alpaca",
"LLaMA",
"LLaMA-2",
"Vicuna",
"PaLM-2",
"Multilingual",
"region:us"
] | TanvirOnHF | null | null | null | 0 | 6 | ---
license: cdla-sharing-1.0
pretty_name: Greetings
tags:
- GPT-3.5
- GPT-4
- Claude
- Bard
- Alpaca
- LLaMA
- LLaMA-2
- Vicuna
- PaLM-2
- Multilingual
multilinguality:
- multilingual
size_categories:
- 1K<n<10K
---
# Greetings [TXT dataset]
A dataset comprising artificially generated **greetings** derived from a diverse array of Large Language Models (LLMs) such as GPT-3.5, GPT-4, Claude, Bard, Alpaca, LLaMA, LLaMA-2, Vicuna, and PaLM-2. These greetings cover various types and are expressed in multiple languages.
## Disclaimer
Please note that while I strive to maintain data quality, I cannot guarantee the accuracy or quality of all entries in this dataset. Use it responsibly and exercise caution when relying on the data for any critical applications. Your feedback and contributions are greatly appreciated for improving the dataset's overall quality.
|
gunika-dhingra/findSum_data | 2023-09-21T20:47:22.000Z | [
"region:us"
] | gunika-dhingra | null | null | null | 0 | 6 | Entry not found |
justinwilloughby/technetcorpus-all-MiniLM-L6-v2 | 2023-10-02T21:46:48.000Z | [
"region:us"
] | justinwilloughby | null | null | null | 0 | 6 | Entry not found |
dongyoung4091/hh-rlhf_with_features_flan_t5_large_flan_t5_base_zeroshot | 2023-09-23T00:41:36.000Z | [
"region:us"
] | dongyoung4091 | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: chosen
dtype: string
- name: rejected
dtype: string
- name: helpfulness_chosen
dtype: int64
- name: helpfulness_rejected
dtype: int64
- name: specificity_chosen
dtype: int64
- name: specificity_rejected
dtype: int64
- name: intent_chosen
dtype: int64
- name: intent_rejected
dtype: int64
- name: factuality_chosen
dtype: int64
- name: factuality_rejected
dtype: int64
- name: easy-to-understand_chosen
dtype: int64
- name: easy-to-understand_rejected
dtype: int64
- name: relevance_chosen
dtype: int64
- name: relevance_rejected
dtype: int64
- name: readability_chosen
dtype: int64
- name: readability_rejected
dtype: int64
- name: enough-detail_chosen
dtype: int64
- name: enough-detail_rejected
dtype: int64
- name: biased:_chosen
dtype: int64
- name: biased:_rejected
dtype: int64
- name: fail-to-consider-individual-preferences_chosen
dtype: int64
- name: fail-to-consider-individual-preferences_rejected
dtype: int64
- name: repetetive_chosen
dtype: int64
- name: repetetive_rejected
dtype: int64
- name: fail-to-consider-context_chosen
dtype: int64
- name: fail-to-consider-context_rejected
dtype: int64
- name: too-long_chosen
dtype: int64
- name: too-long_rejected
dtype: int64
- name: human
dtype: string
- name: assistant_chosen
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- name: assistant_rejected
dtype: string
- name: log_score_chosen
dtype: float64
- name: log_score_rejected
dtype: float64
- name: labels
dtype: string
- name: zeroshot_helpfulness_chosen
dtype: float64
- name: zeroshot_helpfulness_rejected
dtype: float64
- name: zeroshot_specificity_chosen
dtype: float64
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dtype: float64
- name: zeroshot_intent_chosen
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- name: zeroshot_factuality_rejected
dtype: float64
- name: zeroshot_easy-to-understand_chosen
dtype: float64
- name: zeroshot_easy-to-understand_rejected
dtype: float64
- name: zeroshot_relevance_chosen
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- name: zeroshot_relevance_rejected
dtype: float64
- name: zeroshot_readability_chosen
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- name: zeroshot_readability_rejected
dtype: float64
- name: zeroshot_enough-detail_chosen
dtype: float64
- name: zeroshot_enough-detail_rejected
dtype: float64
- name: zeroshot_biased:_chosen
dtype: float64
- name: zeroshot_biased:_rejected
dtype: float64
- name: zeroshot_fail-to-consider-individual-preferences_chosen
dtype: float64
- name: zeroshot_fail-to-consider-individual-preferences_rejected
dtype: float64
- name: zeroshot_repetetive_chosen
dtype: float64
- name: zeroshot_repetetive_rejected
dtype: float64
- name: zeroshot_fail-to-consider-context_chosen
dtype: float64
- name: zeroshot_fail-to-consider-context_rejected
dtype: float64
- name: zeroshot_too-long_chosen
dtype: float64
- name: zeroshot_too-long_rejected
dtype: float64
splits:
- name: train
num_bytes: 16425816
num_examples: 9574
- name: test
num_bytes: 16369741
num_examples: 9574
download_size: 0
dataset_size: 32795557
---
# Dataset Card for "hh-rlhf_with_features_flan_t5_large_flan_t5_base_zeroshot"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
YegorS/dataset | 2023-09-22T12:13:43.000Z | [
"region:us"
] | YegorS | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: labels
sequence: int64
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 38736183
num_examples: 5000
- name: eval
num_bytes: 7833177
num_examples: 1000
download_size: 10435687
dataset_size: 46569360
---
# Dataset Card for "dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
sankettgorey/data_1 | 2023-09-22T13:20:38.000Z | [
"region:us"
] | sankettgorey | null | null | null | 0 | 6 | Entry not found |
linhtran92/infer_fix_76 | 2023-09-22T13:41:49.000Z | [
"region:us"
] | linhtran92 | null | null | null | 0 | 6 | Entry not found |
dieineb/tmdb_5000_movies | 2023-09-22T15:51:13.000Z | [
"region:us"
] | dieineb | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: int64
- name: budget
dtype: int64
- name: genres
dtype: string
- name: homepage
dtype: string
- name: keywords
dtype: string
- name: original_language
dtype: string
- name: original_title
dtype: string
- name: overview
dtype: string
- name: popularity
dtype: float64
- name: production_companies
dtype: string
- name: production_countries
dtype: string
- name: release_date
dtype: string
- name: revenue
dtype: int64
- name: runtime
dtype: float64
- name: spoken_languages
dtype: string
- name: status
dtype: string
- name: tagline
dtype: string
- name: title
dtype: string
- name: vote_average
dtype: float64
- name: vote_count
dtype: int64
- name: cast
dtype: string
- name: crew
dtype: string
splits:
- name: train
num_bytes: 40655819
num_examples: 4803
download_size: 13875246
dataset_size: 40655819
---
# Dataset Card for "tmdb_5000_movies"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Vaibhav9401/toxic75k | 2023-09-22T16:39:35.000Z | [
"region:us"
] | Vaibhav9401 | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: llama_finetune_text
dtype: string
splits:
- name: train
num_bytes: 61395720
num_examples: 72313
download_size: 11452836
dataset_size: 61395720
---
# Dataset Card for "toxic75k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
dim/ficbook_raw_best_10k | 2023-09-22T18:00:53.000Z | [
"region:us"
] | dim | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: id
dtype: string
- name: author
dtype: string
- name: title
dtype: string
- name: link
dtype: string
- name: description
dtype: string
- name: tag
dtype: string
- name: likes
dtype: int64
- name: date
dtype: string
- name: review
dtype: string
- name: format
dtype: string
- name: text
dtype: string
- name: rating
dtype: string
- name: status
dtype: string
- name: parts
dtype: string
splits:
- name: train
num_bytes: 91515293.63435334
num_examples: 10000
download_size: 101345356
dataset_size: 91515293.63435334
---
# Dataset Card for "ficbook_raw_best_10k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
1aurent/RxRx1 | 2023-10-02T15:31:33.000Z | [
"task_categories:image-classification",
"size_categories:100K<n<1M",
"license:cc-by-4.0",
"biology",
"drug",
"cells",
"arxiv:2301.05768",
"region:us"
] | 1aurent | null | null | null | 0 | 6 | ---
license: cc-by-4.0
size_categories:
- 100K<n<1M
task_categories:
- image-classification
tags:
- biology
- drug
- cells
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image
dtype:
array3_d:
dtype: uint8
shape:
- 512
- 512
- 6
- name: site_id
dtype: string
- name: well_id
dtype: string
- name: cell_type
dtype: string
- name: experiment
dtype: string
- name: plate
dtype: int32
- name: well
dtype: string
- name: site
dtype: int32
- name: well_type
dtype:
class_label:
names:
'0': treatment
'1': positive_control
'2': negative_control
- name: sirna
dtype: string
- name: sirna_id
dtype: int32
- name: embeddings
sequence: float32
length: 128
splits:
- name: train
num_bytes: 213139738276
num_examples: 81224
- name: test
num_bytes: 116210798412
num_examples: 44286
download_size: 0
dataset_size: 329350536688
---
[](https://doi.org/10.48550/arXiv.2301.05768)
# RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods
**Homepage**: https://www.rxrx.ai/rxrx1 \
**Publication Date**: 2019-06 \
**License**: [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) \
**Citation**:
```bibtex
@misc{sypetkowski2023rxrx1,
title = {RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods},
author = {Maciej Sypetkowski and Morteza Rezanejad and Saber Saberian and Oren Kraus and John Urbanik and James Taylor and Ben Mabey and Mason Victors and Jason Yosinski and Alborz Rezazadeh Sereshkeh and Imran Haque and Berton Earnshaw},
year = {2023},
eprint = {2301.05768},
archiveprefix = {arXiv},
primaryclass = {cs.CV}
}
```
## Description
High-throughput screening techniques are commonly used to obtain large quantities of data in many fields of biology. It is well known that artifacts arising from variability in the technical execution of different experimental batches within such screens confound these observations and can lead to invalid biological conclusions. It is therefore necessary to account for these batch effects when analyzing outcomes. In this paper we describe RxRx1, a biological dataset designed specifically for the systematic study of batch effect correction methods. The dataset consists of 125,510 high-resolution fluorescence microscopy images of human cells under 1,138 genetic perturbations in 51 experimental batches across 4 cell types. Visual inspection of the images alone clearly demonstrates significant batch effects. We propose a classification task designed to evaluate the effectiveness of experimental batch correction methods on these images and examine the performance of a number of correction methods on this task. Our goal in releasing RxRx1 is to encourage the development of effective experimental batch correction methods that generalize well to unseen experimental batches.
|
asoria/sonar | 2023-09-22T19:14:37.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"adult",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | asoria | null | null | null | 0 | 6 | ---
configs:
- config_name: sonar
language:
- en
tags:
- adult
- tabular_classification
- binary_classification
- UCI
pretty_name: Sonar
size_categories:
- n<1K
task_categories:
- tabular-classification
license: cc
---
# Sonar
The [Sonar dataset](https://archive-beta.ics.uci.edu/dataset/151/connectionist+bench+sonar+mines+vs+rocks) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
Dataset to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock.
# Configurations and tasks
| **Configuration** | **Task** | **Description** |
|-------------------|---------------------------|-----------------------------------------------------------------|
| sonar | Binary classification | Is the sonar detecting a rock? |
# Usage
```python
from datasets import load_dataset
dataset = load_dataset("mstz/sonar")["train"]
```
|
sujitrect/novel17_test | 2023-09-22T19:52:00.000Z | [
"region:us"
] | sujitrect | null | null | null | 0 | 6 | Entry not found |
ruiiw/k-12_education_data | 2023-09-22T22:45:09.000Z | [
"region:us"
] | ruiiw | null | null | null | 0 | 6 | Entry not found |
ricardosantoss/ehrcomplete_icdfiltered | 2023-09-23T02:03:24.000Z | [
"region:us"
] | ricardosantoss | null | null | null | 0 | 6 | ---
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: ICD9_CODE
sequence: string
splits:
- name: train
num_bytes: 412148729
num_examples: 38701
- name: test
num_bytes: 53669368
num_examples: 5000
- name: validation
num_bytes: 53033036
num_examples: 5000
download_size: 298774749
dataset_size: 518851133
---
# Dataset Card for "ehrcomplete_icdfiltered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
adhok/mmm_questions | 2023-09-23T02:54:03.000Z | [
"region:us"
] | adhok | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 1156
num_examples: 7
download_size: 2227
dataset_size: 1156
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "mmm_questions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
frncscp/patacon-730_reduced | 2023-09-23T03:45:47.000Z | [
"region:us"
] | frncscp | null | null | null | 0 | 6 | ---
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: label
dtype:
class_label:
names:
'0': Patacon-False
'1': Patacon-True
- name: pca
sequence:
sequence: float64
splits:
- name: train
num_bytes: 3107006000.0
num_examples: 874
- name: validation
num_bytes: 509741671.0
num_examples: 143
- name: test
num_bytes: 1572556522.0
num_examples: 442
download_size: 2929242165
dataset_size: 5189304193.0
---
# Dataset Card for "patacon-730_reduced"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Falah/unsplash_photography_prompts | 2023-09-23T06:45:39.000Z | [
"region:us"
] | Falah | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: prompts
dtype: string
splits:
- name: train
num_bytes: 148707
num_examples: 1000
download_size: 2495
dataset_size: 148707
---
# Dataset Card for "unsplash_photography_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
sankettgorey/donut_1 | 2023-09-23T10:34:52.000Z | [
"region:us"
] | sankettgorey | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 111324828.0
num_examples: 201
download_size: 80121300
dataset_size: 111324828.0
---
# Dataset Card for "donut_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
woo2/llamasql | 2023-09-23T14:52:02.000Z | [
"region:us"
] | woo2 | null | null | null | 0 | 6 | Entry not found |
glukas/smd-bach-audio-diffusion-128 | 2023-09-23T19:16:11.000Z | [
"region:us"
] | glukas | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: audio_file
dtype: string
- name: slice
dtype: int16
splits:
- name: train
num_bytes: 3267629.0
num_examples: 365
download_size: 3254163
dataset_size: 3267629.0
---
# Dataset Card for "smd-bach-audio-diffusion-128"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
VishwaV/titandata | 2023-09-23T22:28:33.000Z | [
"region:us"
] | VishwaV | null | null | null | 0 | 6 | # Saturn and Titan Dataset
**Description:** A dataset containing basic information about the planet Saturn and its moon, Titan.
**Source:** Created for educational purposes.
**Data Format:** JSON
## Saturn Information
- **Name:** Saturn
- **Discovery Year:** Prehistoric times
- **Discovered By:** Ancient civilizations
- **Mass (kg):** 5.6834e26
- **Diameter (km):** 116,464
- **Distance from Sun (km):** 1.4267e9
- **Orbital Period (days):** 10,759.22
- **Average Temperature (°C):** -139
## Titan Information
- **Name:** Titan
- **Discovery Year:** 1655
- **Discovered By:** Christiaan Huygens
- **Distance from Saturn (km):** 1,221,870
- **Diameter (km):** 5150
- **Mass (kg):** 1.3452e23
- **Surface Temperature (Kelvin):** 94
- **Atmosphere Composition:**
- Nitrogen: 95.2%
- Methane: 4.7%
- Hydrogen: 0.1%
- Other: Trace amounts of various hydrocarbons
## Notable Facts
- Saturn is known for its stunning ring system, composed of ice particles and rocky debris.
- Cassini-Huygens was a notable mission that extensively studied Saturn and its moons, including Titan.
- Titan has lakes and rivers of liquid hydrocarbons on its surface.
- Titan's thick atmosphere contains organic molecules, making it an interesting target for astrobiology.
## Dataset Version
- Version: 1.0
- Last Updated: [Date]
**Citation:** If you use this dataset in your research or projects, please cite it as follows:
[Author Last Name, First Name. "Saturn and Titan Dataset (Version 1.0)." Year. URL]
**License:** This dataset is provided under the [license terms].
---
[Additional notes or usage instructions can be added here.]
|
ays-mash/punsynsets | 2023-09-24T00:37:15.000Z | [
"region:us"
] | ays-mash | null | null | null | 0 | 6 | |
UrbanJoe/LlamaMaster | 2023-09-24T00:48:18.000Z | [
"license:cc0-1.0",
"region:us"
] | UrbanJoe | null | null | null | 0 | 6 | ---
license: cc0-1.0
---
|
mickylan2367/GraySpectrogram | 2023-10-04T04:46:03.000Z | [
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-sa-4.0",
"music",
"region:us"
] | mickylan2367 | null | null | null | 0 | 6 | ---
license: cc-by-sa-4.0
language:
- en
tags:
- music
size_categories:
- 1K<n<10K
---
# Google/Music-Capsの音声データをスペクトログラム化したデータ。
* Music Cpasとは：https://huggingface.co/datasets/google/MusicCaps
* GrayScaleじゃないほうもあるから見てね(⋈◍＞◡＜◍)。✧♡（<a href="https://huggingface.co/datasets/mickylan2367/ColorSpectrogram">これ</a>）
## 基本情報
* sampling_rate: int = 44100
* 20秒のwavファイル -> 1600×800のpngファイルへ変換
* librosaの規格により、画像の縦軸：(0-10000?Hz), 画像の横軸：(0-40秒)
* 詳しくはlibrosa.specshow() -> https://librosa.org/doc/main/auto_examples/plot_display.html
## 使い方
### 0: データセットをダウンロード
```py
from datasets import load_dataset
data = load_dataset("mickylan2367/spectrogram")
data = data["train"]
```
### 1: データローダーへ
* こんな感じの関数で、データローダーにできます。
```py
from torchvision import transforms
from torch.utils.data import DataLoader
BATCH_SIZE = ??? # 自分で設定
IMAGE_SIZE = ???
TRAIN_SIZE = ??? # 訓練に使用したいデータセット数
TEST_SIZE = ??? # テストに使用したいデータセット数
def load_datasets():
data_transforms = [
transforms.Resize((IMG_SIZE, IMG_SIZE)),
transforms.ToTensor(), # Scales data into [0,1]
transforms.Lambda(lambda t: (t * 2) - 1) # Scale between [-1, 1]
]
data_transform = transforms.Compose(data_transforms)
data = load_dataset("mickylan2367/spectrogram")
data = data["train"]
train = data[slice(0, TRAIN_SIZE, None)]
test = data[slice(TRAIN_SIZE, TRAIN_SIZE + TEST_SIZE, 0)]
for idx in range(len(train["image"])):
train["image"][idx] = data_transform(train["image"][idx])
test["image"][idx] = data_transform(test["image"][idx])
train = Dataset.from_dict(train)
train = train.with_format("torch") # リスト型回避
test = Dataset.from_dict(train)
test = test.with_format("torch") # リスト型回避
# or
train_loader = DataLoader(train, batch_size=BATCH_SIZE, shuffle=True, drop_last=True)
test_loader = DataLoader(test, batch_size=BATCH_SIZE, shuffle=True, drop_last=True)
return train_loader, test_loader
```
## 参考資料とメモ
* (memo)ぶっちゃけグレースケールもカラーバージョンをtorchvision.transformのグレースケール変換すればいいだけかも？
* ダウンロードに使ったコードは<a href="https://colab.research.google.com/drive/1HmDorbxD5g6C2WDjLierUqbhecTdRvgA?usp=sharing">こちら</a>
* 参考：https://www.kaggle.com/code/osanseviero/musiccaps-explorer
* 仕組み：Kaggleの参考コードでwavファイルをダウンロードする->スペクトログラムつくりながらmetadata.jsonlに
```
{"filename":"spectrogram_*.png", "caption":"This is beautiful music"}
```
をなどと言ったjson列を書き込み、これをアップロードした
* Huggingfaceのデータビューアが動かなくなったら、一度GoogleColabでそのデータセットをダウンロードしてみることもおすすめ
意外とHuggingfaceがバグっているだけかも（実話(´;ω;｀)） |
sam2ai/social_i_qa_1_9k | 2023-09-24T21:32:06.000Z | [
"license:apache-2.0",
"region:us"
] | sam2ai | null | null | null | 0 | 6 | ---
license: apache-2.0
dataset_info:
features:
- name: context
dtype: string
- name: question
dtype: string
- name: answerA
dtype: string
- name: answerB
dtype: string
- name: answerC
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 2725
num_examples: 6
- name: validation
num_bytes: 3274
num_examples: 6
download_size: 14452
dataset_size: 5999
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
|
yuvalkirstain/pickapic_v2 | 2023-09-25T11:14:43.000Z | [
"region:us"
] | yuvalkirstain | null | null | null | 3 | 6 | ---
dataset_info:
features:
- name: are_different
dtype: bool
- name: best_image_uid
dtype: string
- name: caption
dtype: string
- name: created_at
dtype: timestamp[ns]
- name: has_label
dtype: bool
- name: image_0_uid
dtype: string
- name: image_0_url
dtype: string
- name: image_1_uid
dtype: string
- name: image_1_url
dtype: string
- name: jpg_0
dtype: binary
- name: jpg_1
dtype: binary
- name: label_0
dtype: float64
- name: label_1
dtype: float64
- name: model_0
dtype: string
- name: model_1
dtype: string
- name: ranking_id
dtype: int64
- name: user_id
dtype: int64
- name: num_example_per_prompt
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 322022952127
num_examples: 959040
- name: validation
num_bytes: 6339087542
num_examples: 20596
- name: test
num_bytes: 6618429346
num_examples: 20716
- name: validation_unique
num_bytes: 170578993
num_examples: 500
- name: test_unique
num_bytes: 175368751
num_examples: 500
download_size: 15603769274
dataset_size: 335326416759
---
# Dataset Card for "pickapic_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Yulong-W/rephrased | 2023-09-24T23:55:10.000Z | [
"region:us"
] | Yulong-W | Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. | @article{2016arXiv160605250R,
author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
Konstantin and {Liang}, Percy},
title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
journal = {arXiv e-prints},
year = 2016,
eid = {arXiv:1606.05250},
pages = {arXiv:1606.05250},
archivePrefix = {arXiv},
eprint = {1606.05250},
} | null | 0 | 6 | Entry not found |
akahana/oscar-unshuffled_deduplicated_id_10k | 2023-09-25T02:29:27.000Z | [
"region:us"
] | akahana | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: text
dtype: string
splits:
- name: train
num_bytes: 18527241
num_examples: 10000
download_size: 10371685
dataset_size: 18527241
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "oscar-unshuffled_deduplicated_id_10k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
will33am/VQAv2_sample_validation | 2023-09-25T04:42:29.000Z | [
"region:us"
] | will33am | null | null | null | 0 | 6 | ---
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
dataset_info:
features:
- name: question_type
dtype: string
- name: multiple_choice_answer
dtype: string
- name: answers
sequence: string
- name: answers_original
list:
- name: answer
dtype: string
- name: answer_confidence
dtype: string
- name: answer_id
dtype: int64
- name: id_image
dtype: int64
- name: answer_type
dtype: string
- name: question_id
dtype: int64
- name: question
dtype: string
- name: image
dtype: image
- name: id
dtype: int64
- name: clip_tags_ViT_L_14
sequence: string
- name: blip_caption
dtype: string
- name: DETA_detections_deta_swin_large_o365_coco_classes
list:
- name: attribute
dtype: string
- name: box
sequence: float32
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float32
- name: size
dtype: string
- name: tag
dtype: string
- name: LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14
sequence: string
- name: DETA_detections_deta_swin_large_o365_coco_classes_ViT_L_14
list:
- name: attribute
dtype: string
- name: box
sequence: float64
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float64
- name: size
dtype: string
- name: tag
dtype: string
- name: DETA_detections_deta_swin_large_o365_clip_ViT_L_14
list:
- name: attribute
dtype: string
- name: box
sequence: float64
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float64
- name: size
dtype: string
- name: tag
dtype: string
- name: DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption
list:
- name: attribute
dtype: string
- name: box
sequence: float64
- name: caption
dtype: string
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float64
- name: size
dtype: string
- name: tag
dtype: string
- name: new_info_captions3
list:
- name: attribute
dtype: string
- name: box
sequence: float64
- name: caption
dtype: string
- name: captions_module
sequence:
sequence: string
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float64
- name: size
dtype: string
- name: tag
dtype: string
- name: DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption_caption_module
list:
- name: attribute
dtype: string
- name: box
sequence: float64
- name: caption
dtype: string
- name: captions_module
sequence: string
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float64
- name: size
dtype: string
- name: tag
dtype: string
- name: DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption_caption_module_without_filtering
list:
- name: attribute
dtype: string
- name: box
sequence: float64
- name: caption
dtype: string
- name: captions_module
sequence: string
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float64
- name: size
dtype: string
- name: tag
dtype: string
- name: clip_tags_LAION_ViT_H_14_2B
sequence: string
- name: LLM_Description_gpt3_downstream_tasks_visual_genome_LAION-ViT-H-14-2B
sequence: string
- name: DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption_caption_module_random
list:
- name: attribute
dtype: string
- name: box
sequence: float64
- name: caption
dtype: string
- name: captions_module
sequence: string
- name: captions_module_filter
sequence: string
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float64
- name: size
dtype: string
- name: tag
dtype: string
- name: Attributes_ViT_L_14_descriptors_text_davinci_003_full
sequence: string
- name: Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full
sequence: string
- name: clip_tags_ViT_L_14_with_openai
sequence: string
- name: clip_tags_LAION_ViT_H_14_2B_with_openai
sequence: string
- name: blip_caption_beam_5_Salesforce_blip2_flan_t5_xxl
dtype: string
- name: DETA_detections_deta_swin_large_o365_coco_classes_caption_all_patches_Salesforce_blip_image_captioning_large_
list:
- name: attribute
dtype: string
- name: box
sequence: float64
- name: captions_all_patches
sequence: string
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float64
- name: size
dtype: string
- name: tag
dtype: string
- name: DETA_detections_deta_swin_large_o365_coco_classes_caption_all_patches_Salesforce_blip_image_captioning_large_clean
list:
- name: attribute
dtype: string
- name: box
sequence: float64
- name: captions_all_patches
sequence: string
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float64
- name: size
dtype: string
- name: tag
dtype: string
- name: blip_caption_topk_50_Salesforce_blip_image_captioning_base_multiple
sequence: string
- name: DETA_detections_deta_swin_large_o365_clip_caption_all_patches_Salesforce_blip_image_captioning_large__ViT_L_14
list:
- name: attribute
dtype: string
- name: box
sequence: float64
- name: captions_all_patches
sequence: string
- name: label
dtype: string
- name: location
dtype: string
- name: ratio
dtype: float64
- name: size
dtype: string
- name: tag
dtype: string
- name: blip_caption_Salesforce_blip_image_captioning_large_intensive
sequence: string
- name: blip_caption_Salesforce_blip_image_captioning_base_intensive
sequence: string
- name: intensive_captions_Salesforce-blip-image-captioning-large
sequence: string
splits:
- name: validation
num_bytes: 511911985.0
num_examples: 1000
download_size: 297787596
dataset_size: 511911985.0
---
# Dataset Card for "VQAv2_sample_validation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Imran1/balance_network | 2023-09-25T11:03:09.000Z | [
"region:us"
] | Imran1 | null | null | null | 0 | 6 | ---
dataset_info:
features:
- name: resp_pkts
dtype: int64
- name: service
dtype: string
- name: orig_ip_bytes
dtype: int64
- name: local_resp
dtype: bool
- name: missed_bytes
dtype: int64
- name: protocol
dtype: string
- name: duration
dtype: float64
- name: conn_state
dtype: string
- name: dest_ip
dtype: string
- name: orig_pkts
dtype: int64
- name: community_id
dtype: string
- name: resp_ip_bytes
dtype: int64
- name: dest_port
dtype: int64
- name: orig_bytes
dtype: float64
- name: local_orig
dtype: bool
- name: datetime
dtype: string
- name: history
dtype: string
- name: resp_bytes
dtype: float64
- name: uid
dtype: string
- name: src_port
dtype: int64
- name: ts
dtype: float64
- name: src_ip
dtype: string
- name: mitre_attack_tactics
dtype: string
splits:
- name: train
num_bytes: 484491622
num_examples: 2018296
download_size: 100944771
dataset_size: 484491622
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "balance_network"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Kris8an/test_llama-2_dataset | 2023-09-25T13:30:22.000Z | [
"region:us"
] | Kris8an | null | null | null | 0 | 6 | Entry not found |
awacke1/USMLE-Test-Train | 2023-09-25T21:35:23.000Z | [
"license:mit",
"region:us"
] | awacke1 | null | null | null | 1 | 6 | ---
license: mit
---
|
kfkas/cat_datasets | 2023-09-26T06:30:57.000Z | [
"region:us"
] | kfkas | null | null | null | 0 | 6 | Entry not found |
Nicolas-BZRD/CAPP_opendata | 2023-09-28T10:07:32.000Z | [
"size_categories:10K<n<100K",
"language:fr",
"license:odc-by",
"legal",
"region:us"
] | Nicolas-BZRD | null | null | null | 0 | 6 | ---
language:
- fr
license: odc-by
size_categories:
- 10K<n<100K
pretty_name: Fonds documentaire de jurisprudence des cours d’appel et des juridictions
de premier degré
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 988217109
num_examples: 72703
download_size: 459322605
dataset_size: 988217109
tags:
- legal
---
# CAPP (case law from appeal courts and courts of first instance)
[Documentary collection of case law from appeal courts and courts of first instance](https://www.data.gouv.fr/en/datasets/capp/), including
a selection of decisions in civil and criminal matters.
Decisions are selected by the courts in accordance with decree no. 2005-13 of January 7, 2005, amending the judicial organization code (regulatory part) and relating to the documentation service.
the code de l'organisation judiciaire (regulatory part) and relating to the Service de documentation, des études
et du rapport de la Cour de cassation.
Priority: since 1997. |
Nicolas-BZRD/CASS_opendata | 2023-09-28T10:30:20.000Z | [
"size_categories:100K<n<1M",
"language:fr",
"license:odc-by",
"legal",
"region:us"
] | Nicolas-BZRD | null | null | null | 0 | 6 | ---
language:
- fr
license: odc-by
size_categories:
- 100K<n<1M
pretty_name: Cour de cassation
tags:
- legal
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 821334132
num_examples: 142278
download_size: 357899718
dataset_size: 821334132
---
# Court of Cassation
[The major decisions of judicial jurisprudence](https://www.data.gouv.fr/en/datasets/cass/); the decisions of the Cour de cassation :
- published in the Bulletin des chambres civiles since 1960
- published in the Bulletin de la chambre criminelle since 1963.
Full text of rulings, supplemented by columns and summaries written by Court of Cassation judges. |
Nicolas-BZRD/CONSTIT_opendata | 2023-09-28T09:49:22.000Z | [
"size_categories:1K<n<10K",
"language:fr",
"license:odc-by",
"legal",
"region:us"
] | Nicolas-BZRD | null | null | null | 0 | 6 | ---
language:
- fr
license: odc-by
size_categories:
- 1K<n<10K
pretty_name: Conseil constitutionnel
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 73352759
num_examples: 7097
download_size: 27796119
dataset_size: 73352759
tags:
- legal
---
# CONSTIT
It includes the references of all the decisions of the [Conseil constitutionnel](https://www.data.gouv.fr/fr/datasets/constit-les-decisions-du-conseil-constitutionnel/) since its creation in 1958 and these same decisions in full text according to the following table:
Contentious standards
Constitutional decisions ( DC) since the beginning (1958), Question prioritaire de constitutionnalité ( QPC) since the beginning (2010), Control of laws ( LP) of the country (New Caledonia and French Polynesia) since the beginning (1958), Control of overseas laws (LOM) since the beginning (2007), declassification of texts (L) since the beginning (1958), fins de non recevoir (FNR) since the beginning (1958),
Electoral and related disputes
AN since 1993, Sénat since 1993, Présidentielle since 1993, Référendum since 1993, Déchéance (D) since 1985, Incompatibilités (I) since origin (1958)
Other
Appointments (members, deputy rapporteurs, general secretaries), organization, other decisions ... since 1997
Article 16 since inception (1958)
All decisions of the Constitutional Council are published in the Official Journal of the French Republic and in the annual compendium of decisions of the Constitutional Council. |
woo2/llamasql_bank | 2023-09-26T12:53:25.000Z | [
"region:us"
] | woo2 | null | null | null | 0 | 6 | Entry not found |
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