datasetId
stringlengths 2
117
| author
stringlengths 2
42
⌀ | last_modified
timestamp[us, tz=UTC] | downloads
int64 0
9.36M
| likes
int64 0
3.89k
| tags
list | task_categories
list | createdAt
timestamp[us, tz=UTC] | card
stringlengths 19
1.01M
| embedding
list |
|---|---|---|---|---|---|---|---|---|---|
atmallen/qm_bob_easy_2_grader_first_1.0e
|
atmallen
| 2023-11-16T18:27:38Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T03:20:05Z |
---
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: alice_label
dtype: bool
- name: bob_label
dtype: bool
- name: difficulty
dtype: int64
- name: statement
dtype: string
- name: choices
sequence: string
- name: character
dtype: string
- name: label
dtype:
class_label:
names:
'0': 'False'
'1': 'True'
splits:
- name: train
num_bytes: 10359818.0
num_examples: 117117
- name: validation
num_bytes: 1000602.0
num_examples: 11279
- name: test
num_bytes: 993048.0
num_examples: 11186
download_size: 2650402
dataset_size: 12353468.0
---
# Dataset Card for "qm_bob_easy_2_grader_first_1.0e"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
ksanjeev284/Wraith
|
ksanjeev284
| 2023-11-16T03:33:30Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-16T03:23:24Z |
---
license: mit
---
|
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] |
atmallen/qm_bob_easy_2_grader_last_1.0e
|
atmallen
| 2023-11-16T18:23:08Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T03:26:24Z |
---
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: alice_label
dtype: bool
- name: bob_label
dtype: bool
- name: difficulty
dtype: int64
- name: statement
dtype: string
- name: choices
sequence: string
- name: character
dtype: string
- name: label
dtype:
class_label:
names:
'0': 'False'
'1': 'True'
splits:
- name: train
num_bytes: 8603063.0
num_examples: 117117
- name: validation
num_bytes: 831417.0
num_examples: 11279
- name: test
num_bytes: 825258.0
num_examples: 11186
download_size: 2465198
dataset_size: 10259738.0
---
# Dataset Card for "qm_bob_easy_2_grader_last_1.0e"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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atmallen/qm_bob_easy_2_mixture_1.0e
|
atmallen
| 2023-11-16T18:18:35Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T03:34:07Z |
---
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: alice_label
dtype: bool
- name: bob_label
dtype: bool
- name: difficulty
dtype: int64
- name: statement
dtype: string
- name: choices
sequence: string
- name: character
dtype: string
- name: label
dtype:
class_label:
names:
'0': 'False'
'1': 'True'
splits:
- name: train
num_bytes: 12520368.5
num_examples: 117117
- name: validation
num_bytes: 1221097.5
num_examples: 11279
- name: test
num_bytes: 1205746.0
num_examples: 11186
download_size: 3703276
dataset_size: 14947212.0
---
# Dataset Card for "qm_bob_easy_2_mixture_1.0e"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
TeddyHug/Data_to_train
|
TeddyHug
| 2023-11-16T03:50:41Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-16T03:44:56Z |
---
license: apache-2.0
---
|
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] |
xDAN-datasets/ChatDoctor-iCliniq-7.3k
|
xDAN-datasets
| 2023-11-16T03:58:55Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T03:58:53Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations_icliniq
list:
- name: from
dtype: string
- name: value
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 14328338
num_examples: 7321
download_size: 8310019
dataset_size: 14328338
---
# Dataset Card for "ChatDoctor-iCliniq-7.3k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
razaulhaq/nhtsa_complaints
|
razaulhaq
| 2023-11-16T05:20:24Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-16T05:20:24Z |
---
license: mit
---
|
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rastogi/FNS
|
rastogi
| 2023-11-16T06:00:23Z | 0 | 0 |
[
"language:en",
"region:us"
] | null | 2023-11-16T05:22:42Z |
---
language:
- en
---
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KADUZADA/ED_MOTTA
|
KADUZADA
| 2023-11-16T06:06:24Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T05:42:53Z |
---
license: openrail
---
|
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] |
xDAN-datasets/ChatDoctor_chatdoctor_7k
|
xDAN-datasets
| 2023-11-20T07:53:19Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T05:50:33Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations_chatgpt
list:
- name: from
dtype: string
- name: value
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 14604774
num_examples: 7321
download_size: 8420745
dataset_size: 14604774
---
# Dataset Card for "ChatDoctor_chatdoctor_7k"
**数据集名称:**
*lavita/ChatDoctor-iCliniq*
**数据集原型来源:**
*https://huggingface.co/datasets/lavita/ChatDoctor-iCliniq*
**数据规模:**
*7.32k*
**数据生成:**
*由llm生成*
**数据领域:**
*医患对话*
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
tyzhu/find_first_sent_train_100_eval_20_baseline
|
tyzhu
| 2023-11-16T05:54:28Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T05:54:21Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: title
dtype: string
- name: context
dtype: string
splits:
- name: train
num_bytes: 169972
num_examples: 100
- name: validation
num_bytes: 35584
num_examples: 20
download_size: 158682
dataset_size: 205556
---
# Dataset Card for "find_first_sent_train_100_eval_20_baseline"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
tyzhu/find_first_sent_train_50_eval_20_baseline
|
tyzhu
| 2023-11-16T05:54:38Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T05:54:32Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: title
dtype: string
- name: context
dtype: string
splits:
- name: train
num_bytes: 82417
num_examples: 50
- name: validation
num_bytes: 31654
num_examples: 20
download_size: 98247
dataset_size: 114071
---
# Dataset Card for "find_first_sent_train_50_eval_20_baseline"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
tyang816/cath
|
tyang816
| 2023-11-16T06:09:55Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-16T06:07:40Z |
---
license: apache-2.0
---
|
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pykeio/oshichats-v2
|
pykeio
| 2023-11-27T04:41:05Z | 0 | 1 |
[
"task_categories:text-classification",
"task_categories:conversational",
"task_categories:text-generation",
"task_categories:token-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"size_categories:10M<n<100M",
"language:en",
"license:cc-by-4.0",
"livestream",
"stream",
"chat",
"messages",
"vtuber",
"vtubers",
"twitch",
"youtube",
"region:us"
] |
[
"text-classification",
"conversational",
"text-generation",
"token-classification"
] | 2023-11-16T06:08:32Z |
---
license: cc-by-4.0
task_categories:
- text-classification
- conversational
- text-generation
- token-classification
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
tags:
- livestream
- stream
- chat
- messages
- vtuber
- vtubers
- twitch
- youtube
pretty_name: OshiChats v2
size_categories:
- 10M<n<100M
---
# OshiChats v2
OshiChats v2 is a dataset of 56 million high-quality English chat messages collected from various [VTuber](https://en.wikipedia.org/wiki/VTuber) live streams before 18th November 2023.
## Usage
```py
from datasets import load_dataset
chats_dataset = load_dataset('pykeio/oshichats-v2', split='train')
print(chats_dataset[0])
```
## Samples
```json
{
"liver": "Millie Parfait",
"flags": 16782594,
"stream": {
"id": "yt=aX-D4GDi14s",
"topic": "asmr"
},
"author": "Brandermau",
"message": "Thank you for the blessed week <|liver:text=TWlsbGll|>!",
"donation": true,
"score": 21.930078506469727,
"languages": [0.7040359377861023,0.1367727518081665,0.07201824337244034,0.05604061856865883,0.023007752373814583,0.008124674670398235,0.0,0.0,0.0,0.0],
"analysis": [0.01581309176981449,0.0001037662077578716,0.0016704736044630408,0.00014343550719786435,0.000602249929215759,0.00019911097479052842],
"delta_time": 365.5880126953125
}
{
"liver": "Finana Ryugu",
"flags": 16781826,
"stream": {
"id": "yt=t82VaSIfAIA",
"topic": "Final_Fantasy_Online"
},
"author": "Yuki",
"message": "Crossing fingers for her going the path I started with too so there are no extra spoilers",
"donation": false,
"score": 18.640567779541016,
"languages": [0.9631453156471252,0.021243400871753693,0.01243548933416605,0.0014567276230081916,0.0011399302165955305,0.0005791507428511977,0.0,0.0,0.0,0.0],
"analysis": [0.030425170436501503,0.0001254125963896513,0.0015225252136588097,0.0001571120519656688,0.0011026122374460101,0.0005010333843529224],
"delta_time": 140.35299682617188
}
```
## Data fields
> 💡 Click on a field to display more information.
<ul>
<li>
<details>
<summary><code>liver</code></summary>
Name of the talent hosting the live stream.
</details>
</li>
<li>
<details>
<summary><code>flags</code></summary>
Flags for the hosting talent.
The 24th bit indicates the talent uses she/her pronouns. If not set, the talent uses he/him pronouns.
The last four bits (<code>x & 0b1111</code>) indicate the liver's organization affiliation. Current affiliation values are:
<ul>
<li><code>0b0000</code>: Indie (no organization affiliation)</li>
<li><code>0b0001</code>: Hololive</li>
<li><code>0b0010</code>: Nijisanji</li>
<li><code>0b0011</code>: idol Corp</li>
<li><code>0b0100</code>: Phase Connect</li>
</ul>
</details>
</li>
<li>
<details>
<summary><code>stream</code></summary>
Information about the livestream. Contains two fields, <code>id</code> and <code>topic</code>.
<ul>
<li>
<code>topic</code> is the human-annotated topic of the live stream (i.e. <code>"talk"</code>, <code>"Minecraft"</code>, <code>"Singing"</code>), or <code>null</code> if a single topic could not be determined.
</li>
<li>
<code>id</code> is the ID of the live stream, prefixed with either <code>yt=</code> or <code>tw=</code> to indicate a YouTube or Twitch stream respectively.
</li>
</ul>
</details>
</li>
<li>
<details>
<summary><code>author</code></summary>
Display name of the author of the chat message.
</details>
</li>
<li>
<details>
<summary><code>message</code></summary>
Contents of the chat message.
Certain message contents are replaced with tags for usage in downstream tasks, see the section below on message tags for more information.
</details>
</li>
<li>
<details>
<summary><code>donation</code></summary>
Whether or not this message is a superchat or donation.
</details>
</li>
<li>
<details>
<summary><code>score</code></summary>
Neural quality score. Messages that engage in constructive conversation with the talent are rewarded with a higher score.
</details>
</li>
<li>
<details>
<summary><code>languages</code></summary>
Language detection score. In order, the languages represented in this field are: English, Japanese, Indonesian, Chinese, Korean, Tagalog, Spanish, Russian, French, German.
</details>
</li>
<li>
<details>
<summary><code>analysis</code></summary>
Internal, not intended to be used.
</details>
</li>
<li>
<details>
<summary><code>delta_time</code></summary>
The time the message was sent, represented as an offset since the beginning of the stream, in seconds.
</details>
</li>
</ul>
## Message tags
<ul>
<li>
<details>
<summary><code><|liver:text={text}|></code></summary>
References the talent by their name or one of their nicknames.
<code>text</code> is the original text, encoded as base64.
</details>
</li>
<li>
<details>
<summary><code><|fans:text={text}|></code></summary>
References the fanbase of the talent.
Some talents will give their fanbase a name, i.e. Petra Gurin refers to her viewers as "pentomos".
<code>text</code> is the original text, encoded as base64.
</details>
</li>
<li>
<details>
<summary><code><|collaborator:liver={other}:text={text}:affiliation={aff}|></code></summary>
References another talent by their name or one of their nicknames.
The talent is confirmed via human review to be present in the stream and actively collaborating with the stream host.
<code>other</code> is the full canonical name of the referenced talent.
<code>text</code> is the original text, encoded as base64.
<code>aff</code> is the affiliation of the other talent. This has two values - <code>org</code> (meaning the referenced talent is affiliated with the same organization as the stream host) and <code>none</code> (meaning the referenced talent is from another organization).
</details>
</li>
<li>
<details>
<summary><code><|collaborator-fans:text={text}|></code></summary>
References the fanbase of one of the collaborators present in the stream.
<code>text</code> is the original text, encoded as base64.
</details>
</li>
<li>
<details>
<summary><code><|maybe-collaborator:liver={other}:text={text}:affiliation={aff}|></code></summary>
References another talent by their name or one of their nicknames.
The talent <b>may or may not</b> be present in the stream.
<code>other</code> is the full canonical name of the referenced talent.
<code>text</code> is the original text, encoded as base64.
<code>aff</code> is the affiliation of the other talent. This has two values - <code>org</code> (meaning the referenced talent is affiliated with the same organization as the stream host) and <code>none</code> (meaning the referenced talent is from another organization). If the affiliation is <code>none</code>, it is safe to regard this tag as a false positive in most cases.
</details>
</li>
</ul>
## License
Licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/); you must give attribution to pyke.io in any derivatives of this dataset, including models trained using its data.
|
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KADUZADA/ED
|
KADUZADA
| 2023-11-16T06:12:53Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T06:12:32Z |
---
license: openrail
---
|
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HuskyAI/oil_and_watercolor_painting
|
HuskyAI
| 2023-11-16T06:16:51Z | 0 | 0 |
[
"task_categories:text-to-image",
"size_categories:n<1K",
"license:apache-2.0",
"oil_and_watercolor_painting",
"style",
"region:us"
] |
[
"text-to-image"
] | 2023-11-16T06:14:31Z |
---
license: apache-2.0
task_categories:
- text-to-image
tags:
- oil_and_watercolor_painting
- style
size_categories:
- n<1K
---
|
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daiua/video
|
daiua
| 2023-11-20T02:05:48Z | 0 | 1 |
[
"license:other",
"region:us"
] | null | 2023-11-16T06:27:40Z |
---
license: other
license_name: '11111'
license_link: LICENSE
---
|
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] |
xDAN-datasets/medical_meadow_medical_flashcards_34k
|
xDAN-datasets
| 2023-11-20T07:51:36Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T06:34:48Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 31444062
num_examples: 33521
download_size: 0
dataset_size: 31444062
---
# Dataset Card for "medical_meadow_medical_flashcards_34k"
**数据集名称:**
*medalpaca/medical_meadow_medical_flashcards*
**数据集原型来源:**
*https://huggingface.co/datasets/medalpaca/medical_meadow_medical_flashcards*
**数据规模:**
*34k*
**数据生成:**
*基于抽认卡由GPT-3.5-turbo生成*
**数据领域:**
*QA(基础医学、临床知识、 和临床技能)*
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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cp500/radiology-samples
|
cp500
| 2023-11-16T06:42:39Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T06:42:28Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 105035647
num_examples: 135466
- name: test
num_bytes: 26470297
num_examples: 33869
download_size: 54294813
dataset_size: 131505944
---
# Dataset Card for "radiology-samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
animadot/gaming-hfr
|
animadot
| 2023-11-16T10:02:04Z | 0 | 1 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-16T06:42:42Z |
---
license: apache-2.0
dataset_info:
features:
- name: image
dtype: image
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
An image dataset for video interpolation focusing on video games
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
|
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cp500/mri-samples
|
cp500
| 2023-11-16T06:43:45Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T06:43:38Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 46044813
num_examples: 30504
- name: test
num_bytes: 5248961
num_examples: 3390
download_size: 23104510
dataset_size: 51293774
---
# Dataset Card for "mri-samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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cp500/ultrasound-samples
|
cp500
| 2023-11-16T06:44:49Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T06:44:47Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 5626157
num_examples: 6433
download_size: 1914383
dataset_size: 5626157
---
# Dataset Card for "ultrasound-samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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cp500/CT-samples
|
cp500
| 2023-11-16T06:48:12Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T06:47:38Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 748569212
num_examples: 582951
download_size: 302697027
dataset_size: 748569212
---
# Dataset Card for "CT-samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
xDAN-datasets/medical_meadow_wikidoc_10k
|
xDAN-datasets
| 2023-11-17T08:33:58Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T07:35:29Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 20026284
num_examples: 9998
download_size: 11247022
dataset_size: 20026284
---
# Dataset Card for "medical_meadow_wikidoc_10k"
**数据集名称:**
*medalpaca/medical_meadow_wikidoc*
**数据集原型来源:**
*https://huggingface.co/datasets/medalpaca/medical_meadow_wikidoc*
**数据规模:**
*10K*
**数据生成:**
*基于维基文档由GPT-3.5-turbo改写*
**数据领域:**
*QA医学知识*
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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Pablao0948/Giovanni
|
Pablao0948
| 2023-11-16T08:46:17Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T08:45:48Z |
---
license: openrail
---
|
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] |
xDAN-datasets/medical_meadow_mediqa_2k
|
xDAN-datasets
| 2023-11-20T07:48:23Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T08:53:19Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 28533080
num_examples: 2054
download_size: 0
dataset_size: 28533080
---
# Dataset Card for "medical_meadow_mediqa_2k"
**数据集名称:**
*medalpaca/medical_meadow_mediqa*
**数据集原型来源:**
*https://huggingface.co/datasets/medalpaca/medical_meadow_mediqa*
**数据规模:**
*2k*
**数据生成:**
*人工生成*
**数据领域:**
*医患对话*
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
LPFLEO/newdata1116
|
LPFLEO
| 2023-11-16T08:54:13Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-16T08:54:13Z |
---
license: mit
---
|
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] |
nicolehuangyx/newdataste
|
nicolehuangyx
| 2023-11-16T08:56:57Z | 0 | 0 |
[
"license:bigscience-openrail-m",
"region:us"
] | null | 2023-11-16T08:56:57Z |
---
license: bigscience-openrail-m
---
|
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joshuapsa/gpt-generated-news-sentences
|
joshuapsa
| 2023-11-16T09:43:33Z | 0 | 1 |
[
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] |
[
"text-classification"
] | 2023-11-16T09:11:30Z |
---
dataset_info:
features:
- name: class_index
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: text
dtype: string
- name: _air
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _cybersecurity
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _domestic_unrest_violence
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _extreme_weather
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _forced_labor
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _general_biz_trend
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _later_report
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _lawsuit_legal_insurance
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _leisure_other_news
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _maritime
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _pandemics_large_scale_diseases
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _railway
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _strike
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _trade_war_embargos_bans
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _war_conflict
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: _warehouse_fire
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 266620
num_examples: 640
- name: valid
num_bytes: 33348
num_examples: 80
- name: test
num_bytes: 33277
num_examples: 80
download_size: 100323
dataset_size: 333245
license: mit
task_categories:
- text-classification
language:
- en
size_categories:
- 1K<n<10K
---
# Dataset Card
- This dataset was created solely for the purpose of code testing.
- This dataset was generated from prompting chatGPT to create sample pieces of news setences according to a topic.
- Sample prompt: "generate 50 sentences on the topic of "very recent breaking news on wars and conflicts events" with some sample location names. One example: "a missile struck near a residential building in Kiev last night, Russia denied Ukraine's accusations of attacking non-military targets""
- The output senteces were then used to construct huggingface dataset.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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zhekichhh/news3imn
|
zhekichhh
| 2023-11-16T09:13:11Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T09:12:26Z |
---
license: openrail
---
|
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] |
AnnaSmirnova/russisan_noun_definitions
|
AnnaSmirnova
| 2023-11-16T09:15:58Z | 0 | 0 |
[
"task_categories:text-classification",
"size_categories:n<1K",
"language:ru",
"region:us"
] |
[
"text-classification"
] | 2023-11-16T09:14:21Z |
---
task_categories:
- text-classification
language:
- ru
size_categories:
- n<1K
---
|
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mutiyu20/yu_nagaba
|
mutiyu20
| 2023-11-16T09:26:31Z | 0 | 0 |
[
"license:artistic-2.0",
"region:us"
] | null | 2023-11-16T09:19:03Z |
---
license: artistic-2.0
---
|
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] |
Tanhu/register_label_instruction_data_en
|
Tanhu
| 2023-11-16T09:29:07Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T09:28:50Z |
---
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
splits:
- name: train
num_bytes: 313401359
num_examples: 33915
download_size: 156354972
dataset_size: 313401359
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "register_label_instruction_data_en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
ZhaoweiWang/AbstractATOMIC
|
ZhaoweiWang
| 2023-11-16T09:29:33Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-16T09:29:03Z |
---
license: mit
---
|
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ZhaoweiWang/Levy_Holt_dataset_jsonl
|
ZhaoweiWang
| 2023-11-16T09:35:03Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-16T09:33:22Z |
---
license: unknown
---
This is the Levy/Holt dataset in json format for better data loading. All licenses are subject to the original release.
|
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] |
trungdang2901/Chinese_ner
|
trungdang2901
| 2023-11-16T09:36:28Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-16T09:35:50Z |
---
license: apache-2.0
---
|
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] |
kyriemao/topiocqa
|
kyriemao
| 2023-11-16T09:38:46Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-16T09:38:46Z |
---
license: apache-2.0
---
|
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] |
AudioDecBenchmark/librispeech_asr_dummy_synth
|
AudioDecBenchmark
| 2023-11-16T09:42:42Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T09:41:54Z |
---
configs:
- config_name: default
data_files:
- split: original
path: data/original-*
- split: academicodec_hifi_16k_320d
path: data/academicodec_hifi_16k_320d-*
- split: academicodec_hifi_16k_320d_large_uni
path: data/academicodec_hifi_16k_320d_large_uni-*
- split: academicodec_hifi_24k_320d
path: data/academicodec_hifi_24k_320d-*
- split: audiodec_24k_320d
path: data/audiodec_24k_320d-*
- split: dac_16k
path: data/dac_16k-*
- split: dac_24k
path: data/dac_24k-*
- split: dac_44k
path: data/dac_44k-*
- split: encodec_24k
path: data/encodec_24k-*
- split: funcodec_en_libritts_16k_gr1nq32ds320
path: data/funcodec_en_libritts_16k_gr1nq32ds320-*
- split: funcodec_en_libritts_16k_gr8nq32ds320
path: data/funcodec_en_libritts_16k_gr8nq32ds320-*
- split: funcodec_en_libritts_16k_nq32ds320
path: data/funcodec_en_libritts_16k_nq32ds320-*
- split: funcodec_en_libritts_16k_nq32ds640
path: data/funcodec_en_libritts_16k_nq32ds640-*
- split: funcodec_zh_en_16k_nq32ds320
path: data/funcodec_zh_en_16k_nq32ds320-*
- split: funcodec_zh_en_16k_nq32ds640
path: data/funcodec_zh_en_16k_nq32ds640-*
- split: speech_tokenizer_16k
path: data/speech_tokenizer_16k-*
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: id
dtype: string
splits:
- name: original
num_bytes: 9656106.0
num_examples: 73
- name: academicodec_hifi_16k_320d
num_bytes: 15384096.0
num_examples: 73
- name: academicodec_hifi_16k_320d_large_uni
num_bytes: 15384096.0
num_examples: 73
- name: academicodec_hifi_24k_320d
num_bytes: 23078176.0
num_examples: 73
- name: audiodec_24k_320d
num_bytes: 23113456.0
num_examples: 73
- name: dac_16k
num_bytes: 15400572.0
num_examples: 73
- name: dac_24k
num_bytes: 23097128.0
num_examples: 73
- name: dac_44k
num_bytes: 42434704.0
num_examples: 73
- name: encodec_24k
num_bytes: 23097132.0
num_examples: 73
- name: funcodec_en_libritts_16k_gr1nq32ds320
num_bytes: 15397374.0
num_examples: 73
- name: funcodec_en_libritts_16k_gr8nq32ds320
num_bytes: 15397374.0
num_examples: 73
- name: funcodec_en_libritts_16k_nq32ds320
num_bytes: 15400572.0
num_examples: 73
- name: funcodec_en_libritts_16k_nq32ds640
num_bytes: 15400572.0
num_examples: 73
- name: funcodec_zh_en_16k_nq32ds320
num_bytes: 15400572.0
num_examples: 73
- name: funcodec_zh_en_16k_nq32ds640
num_bytes: 15400572.0
num_examples: 73
- name: speech_tokenizer_16k
num_bytes: 15413536.0
num_examples: 73
download_size: 292985453
dataset_size: 298456038.0
---
# Dataset Card for "librispeech_asr_dummy_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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ZhaoweiWang/AbsPyramid
|
ZhaoweiWang
| 2023-11-16T09:45:46Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-16T09:45:27Z |
---
license: mit
---
|
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nourheshamshaheen/ICPR_big
|
nourheshamshaheen
| 2023-11-16T10:04:37Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T09:51:51Z |
---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': area
'1': heatmap
'2': horizontal_bar
'3': horizontal_interval
'4': line
'5': manhattan
'6': map
'7': pie
'8': scatter
'9': scatter-line
'10': surface
'11': venn
'12': vertical_bar
'13': vertical_box
'14': vertical_interval
- name: pipeline_label
dtype:
class_label:
names:
'0': horizontal_bar
'1': line
'2': other
'3': scatter
'4': scatter_line
'5': vertical_bar
- name: true_label
dtype: string
splits:
- name: train
num_bytes: 1192178239.45
num_examples: 22923
download_size: 1082413361
dataset_size: 1192178239.45
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ICPR_big"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
davanstrien/unsilence_voc
|
davanstrien
| 2023-11-16T10:31:41Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T10:31:35Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: tokens
sequence: string
- name: NE-MAIN
sequence:
class_label:
names:
'0': B-Organization
'1': B-Organization,B-Place
'2': B-Organization,I-Person
'3': B-Organization,I-Place
'4': B-Person
'5': B-Person,B-Place
'6': B-Person,I-Place
'7': B-Place
'8': I-Organization
'9': I-Organization,B-Place
'10': I-Organization,I-Person
'11': I-Organization,I-Person,B-Place
'12': I-Organization,I-Person,I-Place
'13': I-Organization,I-Place
'14': I-Person
'15': I-Person,B-Place
'16': I-Person,I-Place
'17': I-Place
'18': O
- name: NE-PER-NAME
sequence:
class_label:
names:
'0': I-ProperName
'1': O
'2': B-ProperName
'3': ''
- name: NE-PER-GENDER
sequence:
class_label:
names:
'0': B-Group
'1': B-Man
'2': B-Man,B-Unspecified
'3': B-Man,I-Woman
'4': B-Unspecified
'5': B-Unspecified,I-Woman
'6': B-Woman
'7': I-Group
'8': I-Man
'9': I-Man,I-Unspecified
'10': I-Man,I-Woman
'11': I-Unspecified
'12': I-Unspecified,I-Woman
'13': I-Woman
'14': NE-PER-GENDER
'15': O
- name: NE-PER-LEGAL-STATUS
sequence:
class_label:
names:
'0': B-Enslaved
'1': B-Freed
'2': B-Unspecified
'3': I-Enslaved
'4': I-Freed
'5': I-Unspecified
'6': NE-PER-LEGAL-STATUS
'7': O
- name: NE-PER-ROLE
sequence:
class_label:
names:
'0': B-Acting_Notary
'1': B-Beneficiary
'2': B-Notary
'3': B-Other
'4': B-Testator
'5': B-Testator_Beneficiary
'6': B-Witness
'7': I-Acting_Notary
'8': I-Beneficiary
'9': I-Beneficiary,B-Other
'10': I-Beneficiary,I-Other
'11': I-Notary
'12': I-Other
'13': I-Testator
'14': I-Testator_Beneficiary
'15': I-Witness
'16': NE-PER-ROLE
'17': O
- name: NE-ORG-BENEFICIARY
sequence:
class_label:
names:
'0': B-No
'1': B-Yes
'2': I-No
'3': I-Yes
'4': NE-ORG-BENEFICIARY
'5': O
- name: MISC
dtype: string
- name: document_id
dtype: string
splits:
- name: train
num_bytes: 31436367
num_examples: 2199
download_size: 2148172
dataset_size: 31436367
---
# Dataset Card for "unsilence_voc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
Nahidabyer/Nahidachat
|
Nahidabyer
| 2023-11-16T10:36:13Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-16T10:36:13Z |
---
license: mit
---
|
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debarshi/culturax-hi-higgsfield-1M
|
debarshi
| 2023-11-16T11:37:19Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T11:35:08Z |
---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 7372564707
num_examples: 1000000
download_size: 2799392086
dataset_size: 7372564707
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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corentinartaud/smac
|
corentinartaud
| 2023-11-21T12:56:36Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-16T11:53:28Z |
---
license: apache-2.0
---
|
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benjaminalgreen/hansenai_base_data_train
|
benjaminalgreen
| 2023-11-16T11:56:11Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T11:56:07Z |
---
dataset_info:
features:
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 42496418.7
num_examples: 225000
download_size: 26304037
dataset_size: 42496418.7
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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benjaminalgreen/hansenai_base_data_test
|
benjaminalgreen
| 2023-11-16T11:56:13Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T11:56:12Z |
---
dataset_info:
features:
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 4721824.3
num_examples: 25000
download_size: 2909349
dataset_size: 4721824.3
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
snikhil17/tesseract-test
|
snikhil17
| 2023-12-01T12:56:40Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-16T12:04:41Z |
---
license: apache-2.0
---
|
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] |
tyzhu/find_first_sent_train_500_eval_20_baseline
|
tyzhu
| 2023-11-16T12:26:53Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T12:26:01Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: title
dtype: string
- name: context
dtype: string
splits:
- name: train
num_bytes: 750626
num_examples: 442
- name: validation
num_bytes: 38037
num_examples: 20
download_size: 0
dataset_size: 788663
---
# Dataset Card for "find_first_sent_train_500_eval_20_baseline"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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sivan22/sefaria-dual-he-en
|
sivan22
| 2023-11-16T13:40:08Z | 0 | 1 |
[
"region:us"
] | null | 2023-11-16T13:15:07Z |
---
dataset_info:
features:
- name: _id
struct:
- name: $oid
dtype: string
- name: language
dtype: string
- name: title
dtype: string
- name: versionSource
dtype: string
- name: versionTitle
dtype: string
- name: status
dtype: string
- name: license
dtype: string
- name: versionTitleInHebrew
dtype: string
- name: actualLanguage
dtype: string
- name: isBaseText
dtype: float64
- name: level_1_index
dtype: float64
- name: level_2_index
dtype: float64
- name: level_3_index
dtype: float64
- name: level_4_index
dtype: float64
- name: heText
dtype: string
- name: enText
dtype: string
- name: versionNotes
dtype: string
- name: versionNotesInHebrew
dtype: string
- name: method
dtype: string
- name: digitizedBySefaria
dtype: float64
- name: heversionSource
dtype: string
- name: priority
dtype: float64
- name: shortVersionTitle
dtype: string
- name: purchaseInformationImage
dtype: string
- name: purchaseInformationURL
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1620217067
num_examples: 1337645
download_size: 315742783
dataset_size: 1620217067
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
ksanjeev284/NikoBellic
|
ksanjeev284
| 2023-11-16T13:59:13Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-16T13:53:06Z |
---
license: mit
---
|
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] |
anesabdennebi/ids_test_all
|
anesabdennebi
| 2023-11-16T14:06:31Z | 0 | 0 |
[
"task_categories:text-classification",
"size_categories:10K<n<100K",
"license:mit",
"region:us"
] |
[
"text-classification"
] | 2023-11-16T14:05:52Z |
---
license: mit
task_categories:
- text-classification
pretty_name: test_data
size_categories:
- 10K<n<100K
---
|
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] |
furry-br/zoey
|
furry-br
| 2023-11-20T22:57:13Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T15:00:40Z |
---
license: openrail
---
|
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] |
gabrielmbmb/ultrafeedback-prompts-ultrajudge-gpt35
|
gabrielmbmb
| 2023-11-17T14:31:06Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T15:11:01Z |
---
dataset_info:
features:
- name: input
dtype: string
- name: generation_model
dtype: string
- name: generation_prompt
dtype: string
- name: raw_generation_responses
sequence: string
- name: generations
sequence: string
- name: labelling_model
dtype: string
- name: labelling_prompt
list:
- name: content
dtype: string
- name: role
dtype: string
- name: raw_labelling_response
dtype: string
- name: rating
sequence: int64
- name: areas
list:
- name: Authenticity & Reliability
struct:
- name: rating
dtype: string
- name: rationale
dtype: string
- name: Clarity & Transparency
struct:
- name: rating
dtype: string
- name: rationale
dtype: string
- name: Compliance with Intent
struct:
- name: rating
dtype: string
- name: rationale
dtype: string
- name: Practical Accuracy
struct:
- name: rating
dtype: string
- name: rationale
dtype: string
splits:
- name: train
num_bytes: 18658217
num_examples: 1000
download_size: 7709122
dataset_size: 18658217
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ultrafeedback-prompts-ultrajudge-gpt35"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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danaroth/moffett_field
|
danaroth
| 2023-11-17T13:33:47Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-16T15:13:06Z |
---
license: unknown
---
# Description
This "image cube" from JPL's Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) shows the volume of data returned by the instrument. AVIRIS acquired the data on August 20, 1992 when it was flown on a NASA ER-2 plane at an altitude of 20,000 meters (65,000 feet) over Moffett Field, California, at the southern end of the San Francisco Bay.
The top of the cube is a false-color image made to accentuate the structure in the water and evaporation ponds on the right. Also visible on the top of the cube is the Moffett Field airport.
The sides of the cube are slices showing the edges of the top in all 224 of the AVIRIS spectral channels. The tops of the sides are in the visible part of the spectrum (wavelength of 400 nanometers), and the bottoms are in the infrared (2,500 nanometers). The sides are pseudo-color, ranging from black and blue (low response) to red (high response).
Of particular interest is the small region of high response in the upper right corner of the larger side. This response is in the red part of the visible spectrum (about 700 nanometers), and is due to the presence of 1-centimeter-long (half-inch) red brine shrimp in the evaporation pond.
# Quick look
<figure>
<img src= "assets/avcubesmall.png" alt="Moffett" width="200" />
<figcaption>Moffett field datacube.</figcaption>
</figure>
<figure>
<img src= "extra/f080611t01p00r07_sc01_RGB.jpeg" alt="Moffett" width="200" />
<figcaption>Orthoregistered product RGB visualization.</figcaption>
</figure>
# Credits
Dataset made available for free download by [NASA Jet Propulsion Laboratory](https://aviris.jpl.nasa.gov/data/image_cube.html) of the California Instityte of Technology.
Original download link:
https://aviris.jpl.nasa.gov/data/free_data.html
|
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joshuapsa/gpt-generated-news-paragraphs-v1.0
|
joshuapsa
| 2023-11-16T15:27:47Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T15:27:39Z |
---
dataset_info:
features:
- name: class_index
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: text
dtype: string
- name: aviation
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: cybersecurity
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: domestic_unrest_violence
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: extreme_weather
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: forced_labor
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: general_biz_trend
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: individual_accidents_tragedies
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: later_report
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: lawsuit_legal_insurance
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: leisure_other_news
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: maritime
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: pandemics_large_scale_diseases
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: railway
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: strike
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: trade_war_embargos_bans
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: transportation_trends_projects
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: war_conflict
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: warehouse_fire
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 303623
num_examples: 540
- name: valid
num_bytes: 101197
num_examples: 180
- name: test
num_bytes: 100901
num_examples: 180
download_size: 177940
dataset_size: 505721
---
# Dataset Card for "gpt-generated-news-paragraphs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
SteffRhes/APIS_OEBL__Named_Entity_Recognition
|
SteffRhes
| 2023-12-01T16:26:05Z | 0 | 0 |
[
"task_categories:token-classification",
"language:de",
"license:mit",
"region:us"
] |
[
"token-classification"
] | 2023-11-16T15:29:12Z |
---
language:
- de
pretty_name: APIS ÖBL Named Entity Recognition
license: mit
task_categories:
- token-classification
---
**JSON file of 6,941 sentences of historical biographies, annotated with "PER" (Person), "ORG" (Organisation), "LOC" (Location).**
# source
The original data was extracted from the [Austrian Biographical Lexicon (ÖBL)](https://www.oeaw.ac.at/acdh/oebl) in the context of the [Austrian Prosopographical Information System (APIS) project](https://www.oeaw.ac.at/acdh/projects/completed-projects/apis).
From there, samples were randomly pulled and annotated for Named Entity Recognition tasks, which form this dataset.
The texts concern numerous smaller biographies in the time period between 19th and early 20th century within historical Austria-Hungary, and were produced by the [Austrian Acadamey of Sciences](https://www.oeaw.ac.at/en) between 1957 and 2023.
The language style is rather condensed and contains a lot of domain-specific abbreviations (some of which were resolved in a related dataset: https://huggingface.co/datasets/SteffRhes/APIS_OEBL__abbreviations).
# structure
**json structure**
The json contains a list of texts with key `text_raw` and the indices and types of their contained entities with key `entities`.
**Randomized Sentences**
The original data set was split into sentences and randomized samples were annotated.
**no train, dev, eval split**
We decided against pre-splitting the data into these sets, as their quantities might differ between requirements of various NLP training setups.
**no token list**
We decided against pre-tokenizing the data, as this would embed NLP logic (which tokenizer with what rule?) into the data itself.
|
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] |
xihajun/cnn_dailymail_2048
|
xihajun
| 2023-11-16T15:42:43Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T15:42:30Z |
---
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: article
dtype: string
- name: highlights
dtype: string
- name: id
dtype: string
splits:
- name: train
num_bytes: 174103723.12613848
num_examples: 39619
- name: test
num_bytes: 8247087.844734551
num_examples: 1898
- name: validation
num_bytes: 9868234.696289647
num_examples: 2285
download_size: 51215856
dataset_size: 192219045.6671627
---
# Dataset Card for "cnn_dailymail_2048"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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AudioDecBenchmark/librispeech_asr_dummy_extract_unit
|
AudioDecBenchmark
| 2023-11-16T15:50:18Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T15:49:41Z |
---
configs:
- config_name: default
data_files:
- split: academicodec_hifi_16k_320d
path: data/academicodec_hifi_16k_320d-*
- split: academicodec_hifi_16k_320d_large_uni
path: data/academicodec_hifi_16k_320d_large_uni-*
- split: academicodec_hifi_24k_320d
path: data/academicodec_hifi_24k_320d-*
- split: audiodec_24k_320d
path: data/audiodec_24k_320d-*
- split: dac_16k
path: data/dac_16k-*
- split: dac_24k
path: data/dac_24k-*
- split: dac_44k
path: data/dac_44k-*
- split: encodec_24k
path: data/encodec_24k-*
- split: funcodec_en_libritts_16k_gr1nq32ds320
path: data/funcodec_en_libritts_16k_gr1nq32ds320-*
- split: funcodec_en_libritts_16k_gr8nq32ds320
path: data/funcodec_en_libritts_16k_gr8nq32ds320-*
- split: funcodec_en_libritts_16k_nq32ds320
path: data/funcodec_en_libritts_16k_nq32ds320-*
- split: funcodec_en_libritts_16k_nq32ds640
path: data/funcodec_en_libritts_16k_nq32ds640-*
- split: funcodec_zh_en_16k_nq32ds320
path: data/funcodec_zh_en_16k_nq32ds320-*
- split: funcodec_zh_en_16k_nq32ds640
path: data/funcodec_zh_en_16k_nq32ds640-*
- split: speech_tokenizer_16k
path: data/speech_tokenizer_16k-*
dataset_info:
features:
- name: id
dtype: string
- name: unit
sequence:
sequence: int64
splits:
- name: academicodec_hifi_16k_320d
num_bytes: 771752
num_examples: 73
- name: academicodec_hifi_16k_320d_large_uni
num_bytes: 771752
num_examples: 73
- name: academicodec_hifi_24k_320d
num_bytes: 1156456
num_examples: 73
- name: audiodec_24k_320d
num_bytes: 2468728
num_examples: 73
- name: dac_16k
num_bytes: 4813128
num_examples: 73
- name: dac_24k
num_bytes: 13650008
num_examples: 73
- name: dac_44k
num_bytes: 4047900
num_examples: 73
- name: encodec_24k
num_bytes: 580208
num_examples: 73
- name: funcodec_en_libritts_16k_gr1nq32ds320
num_bytes: 6180696
num_examples: 73
- name: funcodec_en_libritts_16k_gr8nq32ds320
num_bytes: 6180696
num_examples: 73
- name: funcodec_en_libritts_16k_nq32ds320
num_bytes: 6179160
num_examples: 73
- name: funcodec_en_libritts_16k_nq32ds640
num_bytes: 3100504
num_examples: 73
- name: funcodec_zh_en_16k_nq32ds320
num_bytes: 6179160
num_examples: 73
- name: funcodec_zh_en_16k_nq32ds640
num_bytes: 6179160
num_examples: 73
- name: speech_tokenizer_16k
num_bytes: 1546104
num_examples: 73
download_size: 10104884
dataset_size: 63805412
---
# Dataset Card for "librispeech_asr_dummy_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
NextDayAI/MultipleResponsesChat_ch13brope_20231001_20231115
|
NextDayAI
| 2023-11-16T16:10:35Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T16:09:52Z |
---
dataset_info:
features:
- name: prompt
dtype: string
- name: rejected_response
dtype: string
- name: selected_response
dtype: string
splits:
- name: train
num_bytes: 1395175651.4956698
num_examples: 477192
- name: valid
num_bytes: 7309299.252165113
num_examples: 2500
- name: test
num_bytes: 7309299.252165113
num_examples: 2500
download_size: 880820023
dataset_size: 1409794250.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
---
|
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megabyte-gaming/echte-pokemon-kaarten
|
megabyte-gaming
| 2023-11-16T17:06:04Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-16T17:06:04Z |
---
license: unknown
---
|
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] |
MoonIcee/gabrieljunio
|
MoonIcee
| 2023-11-16T17:31:40Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T17:27:32Z |
---
license: openrail
---
|
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] |
Eathan/Orthopedic_QA
|
Eathan
| 2023-11-16T17:31:58Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-16T17:31:00Z |
---
license: apache-2.0
---
|
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wop/h
|
wop
| 2023-11-16T17:35:35Z | 0 | 0 |
[
"task_categories:conversational",
"region:us"
] |
[
"conversational"
] | 2023-11-16T17:34:49Z |
---
task_categories:
- conversational
---
|
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] |
MoonIcee/gabrieljunior
|
MoonIcee
| 2023-11-16T17:35:23Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T17:35:06Z |
---
license: openrail
---
|
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] |
MoonIcee/gabrieljunio1
|
MoonIcee
| 2023-11-24T01:10:28Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T17:36:42Z |
---
license: openrail
---
|
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] |
cnmoro/Instruct-PTBR-ENUS-11M
|
cnmoro
| 2023-11-16T18:36:06Z | 0 | 1 |
[
"task_categories:question-answering",
"task_categories:summarization",
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:10M<n<100M",
"language:en",
"language:pt",
"license:llama2",
"region:us"
] |
[
"question-answering",
"summarization",
"text-generation",
"text2text-generation"
] | 2023-11-16T17:54:56Z |
---
license: llama2
task_categories:
- question-answering
- summarization
- text-generation
- text2text-generation
language:
- en
- pt
size_categories:
- 10M<n<100M
---
This dataset is a mix of multiple instruct datasets found on huggingface, while also including a bunch of other datasets (self-made) for tasks such as question-answering focused on RAG, summarization, keyword generation and others.
Most of the original dataset was in the English language. I have translated most of it to Brazillian Portuguese. There is a “LANGUAGE” column, which indicates if its PT or EN. It is possible that the translation contains errors.
For RAG, summarization and keyword generation tasks, the instruct layout looks like this:
`Context:\n{YourRetrievedContext}\nBased on the context, answer: “{YourQuestion}”.`
`Context:\n{YourRetrievedContext}\nBased on the context, write a summary.`
`Context:\n{YourRetrievedContext}\nBased on the context, what are the keywords?.`
or, in Portuguese:
`Contexto:\n{SeuContextoBuscado}\nBaseado no contexto, responda: “{SuaPergunta}”.`
`Contexto:\n{SeuContextoBuscado}\nBaseado no contexto, escreva um resumo.`
`Contexto:\n{SeuContextoBuscado}\nBaseado no contexto, quais são as palavras-chave?.`
The total row count for the dataset is 11165249.
Row count for Portuguese instructions: 5926086
Row count for English instructions: 5239163
|
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Freela/zeteste
|
Freela
| 2023-11-16T17:58:15Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T17:56:03Z |
---
license: openrail
---
|
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Freela/zeahhhhh
|
Freela
| 2023-11-16T18:05:25Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T18:05:03Z |
---
license: openrail
---
|
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Gharaee/BIOSCAN_1M_Insect_Dataset
|
Gharaee
| 2023-11-17T04:24:48Z | 0 | 0 |
[
"license:other",
"arxiv:2307.10455",
"region:us"
] | null | 2023-11-16T18:16:17Z |
---
license: other
license_name: cc-by-nc-sa-4.0
license_link: https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
---
# BIOSCAN_1M Insect Dataset
<div align="center">
<img src="images/Fig1.png" alt="Alt Text" width="1000" style="display: block; margin: 0 auto;">
</div>
Website: https://biodiversitygenomics.net/1M_insects/
GitHub: https://github.com/zahrag/BIOSCAN-1M
Zenodo: https://zenodo.org/records/8030065
Kaggle: https://www.kaggle.com/datasets/zahragharaee/bioscan-1m-insect-dataset
Paper: https://arxiv.org/abs/2307.10455
```
cite as:
@inproceedings{gharaee2023step,
title={A Step Towards Worldwide Biodiversity Assessment: The {BIOSCAN-1M} Insect Dataset},
booktitle = {Advances in Neural Information Processing Systems ({NeurIPS}) Datasets \& Benchmarks Track},
author={Gharaee, Z. and Gong, Z. and Pellegrino, N. and Zarubiieva, I. and Haurum, J. B. and Lowe, S. C. and McKeown, J. T. A. and Ho, C. Y. and McLeod, J. and Wei, Y. C. and Agda, J. and Ratnasingham, S. and Steinke, D. and Chang, A. X. and Taylor, G. W. and Fieguth, P.},
year={2023},
}
```
## A Dataset Record
BIOSCAN dataset provides researchers with information about insects.
Each record of the BIOSCAN-1M Insect dataset contains four primary attributes:
* DNA barcode sequence
* Barcode Index Number (BIN)
* Biological taxonomy ranking annotations
* RGB image
###### <h4> I. DNA barcode sequence
The provided DNA barcode sequence showcases the arrangement of nucleotides:
* Adenine (A): Red
* Thymine (T): Blue
* Cytosine (C): Green
* Guanine (G): Yellow
```
TTTATATTTTATTTTTGGAGCATGATCAGGAATAGTTGGAACTTCAATAAGTTTATTAATTCGAACAGAATTAAGCCAACCAGGAATTTTTA ...
```
<div align="center">
<img src="images/DNA_sequence.png" alt="Alt Text" width="1000" style="display: block; margin: 0 auto;">
</div>
###### <h4> II. Barcode Index Number (BIN)
BINs, acting as an alternative to Linnean names, provide a genetic-centric classification for organisms,
emphasizing the significance of genetic code in taxonomy.
```
BOLD:AER5166
```
<div align="center">
<img src="images/BIN.png" alt="Alt Text" width="1000" style="display: block; margin: 0 auto;">
</div>
###### <h4> III. Biological taxonomy ranking annotations
Taxonomic group ranking annotations categorize organisms hierarchically based on evolutionary relationships.
It organizes species into groups based on shared characteristics and genetic relatedness.
<div align="center">
<img src="images/Taxonomy_horiz_upd1.png" alt="Alt Text" width="1000" style="display: block; margin: 0 auto;">
</div>
###### <h4> IV. RGB image
Original insect images from 16 most densly populated orders of the BIOSCAN-1M Insect dataset.
The numbers below each image identify the number of images in each class, and clearly illustrate the degree of class imbalance in the BIOSCAN-1M Insect dataset.
<div align="center">
<table>
<!-- First Row -->
<tr>
<td align="center" ><img src="images/Diptera.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Hymenoptera.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Coleoptera.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Hemiptera.jpg" width="400px" height="400px" class="image"></td>
</tr>
<tr>
<td align="center"><strong>Diptera: 896,234</strong></td>
<td align="center"><strong>Hymenoptera: 89,311</strong></td>
<td align="center"><strong>Coleoptera: 47,328</strong></td>
<td align="center"><strong>Hemiptera: 46,970</strong></td>
</tr>
<!-- Second Row -->
<tr>
<td align="center" ><img src="images/Lepidoptera.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Psocodea.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Thysanoptera.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Trichoptera.jpg" width="400px" height="400px" class="image"></td>
</tr>
<tr>
<td align="center"><strong>Lepidoptera: 32,538</strong></td>
<td align="center"><strong>Psocodea: 9,635</strong></td>
<td align="center"><strong>Thysanoptera: 2,088</strong></td>
<td align="center"><strong>Trichoptera: 1,296</strong></td>
</tr>
<!-- Third Row -->
<tr>
<td align="center" ><img src="images/Orthoptera.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Blattodea.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Neuroptera.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Ephemeroptera.jpg" width="400px" height="400px" class="image"></td>
</tr>
<tr>
<td align="center"><strong>Orthoptera: 1,057</strong></td>
<td align="center"><strong>Blattodea: 824</strong></td>
<td align="center"><strong>Neuroptera: 676</strong></td>
<td align="center"><strong>Ephemeroptera: 96</strong></td>
</tr>
<!-- Fourth Row -->
<tr>
<td align="center" ><img src="images/Dermaptera.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Archaeognatha.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Plecoptera.jpg" width="400px" height="400px" class="image"></td>
<td align="center" ><img src="images/Embioptera.jpg" width="400px" height="400px" class="image"></td>
</tr>
<tr>
<td align="center"><strong>Dermaptera: 66</strong></td>
<td align="center"><strong>Archaeognatha: 63</strong></td>
<td align="center"><strong>Plecoptera: 30</strong></td>
<td align="center"><strong>Embioptera: 6</strong></td>
</tr>
</table>
</div>
## Class Distribution
Class distribution and class imbalance in the BIOSCAN-1M Insect dataset. Orders (top) and diptera families (bottom).
The image demonstrates that class imbalance is an inherent characteristic within the insect community.
<div align="center">
<img src="images/BIOSCAN_Fig2_upd3.png" alt="Alt Text" width="1000" style="display: block; margin: 0 auto;">
</div>
|
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PaulLoisel/Enhanced_classifier_baseline_model
|
PaulLoisel
| 2023-11-16T20:18:02Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T18:47:49Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 563
num_examples: 5
download_size: 0
dataset_size: 563
---
# Dataset Card for "Enhanced_classifier_baseline_model"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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KnutJaegersberg/webglm_dataset
|
KnutJaegersberg
| 2023-11-16T19:03:57Z | 0 | 0 |
[
"license:cc-by-nc-4.0",
"region:us"
] | null | 2023-11-16T19:01:54Z |
---
license: cc-by-nc-4.0
---
|
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] |
uatafaque/galamba
|
uatafaque
| 2023-11-16T19:10:02Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T19:09:29Z |
---
license: openrail
---
|
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] |
PaulLoisel/Enhanced_classifier_everything_to_text
|
PaulLoisel
| 2023-11-16T20:24:56Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T19:17:15Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 1458
num_examples: 5
download_size: 0
dataset_size: 1458
---
# Dataset Card for "Enhanced_classifier_everything_to_text"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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ihaflix1/mariliamandonca
|
ihaflix1
| 2023-11-16T19:23:33Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T19:20:19Z |
---
license: openrail
---
|
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] |
eminorhan/gutenberg_en
|
eminorhan
| 2023-11-17T20:55:28Z | 0 | 0 |
[
"task_categories:text-generation",
"size_categories:10M<n<100M",
"language:en",
"license:mit",
"region:us"
] |
[
"text-generation"
] | 2023-11-16T20:31:30Z |
---
license: mit
task_categories:
- text-generation
language:
- en
size_categories:
- 10M<n<100M
configs:
- config_name: chunk_size_1024
data_files: "gutenberg_en_paragraph_1024.jsonl"
- config_name: chunk_size_2048
data_files: "gutenberg_en_paragraph_2048.jsonl"
---
**Description of the dataset**
This is the November 16, 2023 snapshot of the English subset of the Project Gutenberg corpus (containing 56712 documents in total), downloaded and preprocessed with code from [this repository](https://github.com/eminorhan/gutenberg).
Two different versions of the data are provided:
* The `chunk_size_1024` version divides the data into ~14.2M records consisting of a few paragraph long chunks of text, where each chunk is at least 1024 chars long, and the corresponding metadata.
* The `chunk_size_2048` version divides the data into ~8.2M records consisting of a few paragraph long chunks of text, where each chunk is at least 2048 chars long, and the corresponding metadata.
This dataset is ideal for generating fine-grained embeddings of the documents.
|
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hippocrates/PubMed_Summ_train
|
hippocrates
| 2023-11-16T21:47:36Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T21:34:16Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 54379474
num_examples: 26570
download_size: 29277288
dataset_size: 54379474
---
# Dataset Card for "PubMed_Summ_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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BarBar288/TorAlerts
|
BarBar288
| 2023-11-16T22:38:27Z | 0 | 0 |
[
"license:unknown",
"region:us"
] | null | 2023-11-16T22:38:27Z |
---
license: unknown
---
|
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] |
Decompile/ygo_monsters
|
Decompile
| 2023-11-16T23:30:17Z | 0 | 0 |
[
"license:unlicense",
"region:us"
] | null | 2023-11-16T22:56:57Z |
---
license: unlicense
dataset_info:
features:
- name: image
dtype: image
- name: card_name
dtype: string
- name: card_text
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 734500516.2
num_examples: 8352
download_size: 738954078
dataset_size: 734500516.2
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
Tverous/misinfo-meta
|
Tverous
| 2023-11-19T05:58:10Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-16T23:00:46Z |
---
dataset_info:
features:
- name: uid
dtype: 'null'
- name: claim
dtype: 'null'
- name: main_text
dtype: 'null'
- name: image
dtype: 'null'
- name: video
dtype: 'null'
- name: audio
dtype: 'null'
- name: kg_embedding
dtype: 'null'
splits:
- name: train
num_bytes: 0
num_examples: 0
download_size: 0
dataset_size: 0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "misinfo-meta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
miragepa/Evelyn
|
miragepa
| 2023-11-17T00:24:16Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-16T23:16:21Z |
---
license: openrail
---
|
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mush42/piper-rt
|
mush42
| 2023-11-17T12:33:13Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-16T23:26:23Z |
---
license: mit
---
|
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] |
Illuminatus-27/processed_bert_dataset
|
Illuminatus-27
| 2023-11-17T01:25:47Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-17T00:09:09Z |
---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: token_type_ids
sequence: int8
- name: attention_mask
sequence: int8
- name: special_tokens_mask
sequence: int8
splits:
- name: test
num_bytes: 15688800
num_examples: 4358
- name: train
num_bytes: 132184800
num_examples: 36718
- name: validation
num_bytes: 13536000
num_examples: 3760
download_size: 6557867
dataset_size: 161409600
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
|
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] |
Kaue123456/VegetaAlfredoRollo
|
Kaue123456
| 2023-11-17T02:02:21Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-17T02:01:31Z |
---
license: openrail
---
|
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] |
bri25yu-temp/prompt_playbook
|
bri25yu-temp
| 2023-11-17T04:23:17Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-17T02:15:04Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: '@type'
dtype: string
- name: triggerLimit
dtype: 'null'
- name: name
dtype: string
- name: aliasName
dtype: 'null'
- name: tag
dtype: string
- name: description
dtype: string
- name: isActive
dtype: bool
- name: debug
dtype: bool
- name: singleRecordExecution
dtype: bool
- name: remoteExecutableFlag
dtype: bool
- name: parameters
sequence: string
- name: synchronous
dtype: bool
- name: lastModifyDate
dtype: int64
- name: collection
dtype: string
- name: versions
sequence: 'null'
- name: triggerStep
dtype: string
- name: steps
list:
- name: '@type'
dtype: string
- name: arguments
dtype: string
- name: description
dtype: string
- name: group
dtype: 'null'
- name: left
dtype: string
- name: name
dtype: string
- name: status
dtype: 'null'
- name: stepType
dtype: string
- name: top
dtype: string
- name: uuid
dtype: string
- name: routes
list:
- name: '@type'
dtype: string
- name: group
dtype: 'null'
- name: isExecuted
dtype: bool
- name: label
dtype: string
- name: name
dtype: string
- name: sourceStep
dtype: string
- name: targetStep
dtype: string
- name: uuid
dtype: string
- name: groups
sequence: 'null'
- name: priority
dtype: string
- name: uuid
dtype: string
- name: id
dtype: int64
- name: owners
sequence: 'null'
- name: isPrivate
dtype: bool
- name: deletedAt
dtype: 'null'
- name: importedBy
list:
- name: apiName
dtype: string
- name: name
dtype: string
- name: version
dtype: string
- name: recordTags
sequence: string
- name: gpt4_prompt
dtype: string
splits:
- name: train
num_bytes: 1282888
num_examples: 473
download_size: 435226
dataset_size: 1282888
---
# Dataset Card for "prompt_playbook"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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coolboy0821/Test
|
coolboy0821
| 2023-11-17T02:44:34Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-17T02:44:34Z |
---
license: apache-2.0
---
|
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] |
icaro23/jeas
|
icaro23
| 2023-11-17T02:52:19Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-17T02:51:06Z |
---
license: apache-2.0
---
|
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Norquinal/OpenCAI
|
Norquinal
| 2023-12-03T17:52:00Z | 0 | 3 |
[
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2023-11-17T04:54:18Z |
---
license: cc-by-nc-4.0
language:
- en
size_categories:
- 10K<n<100K
---
This dataset is comprised of roleplay chat conversations scraped from several Discord RP fandom servers. The conversations have been split in terms of days, the assumption being that a majority of long-form roleplays are started/continued and completed within a day.
The original dataset consisted of ~70K samples. Light filtering striped that down to ~6K samples. Stricter filtering striped it down to ~2k samples.
Some effort was made to remove OOC, links, and other miscellanous fluff, but more work still needs to be done. This isn't a "completed" dataset so much as a test to see if the data gathered is conducive to training LLMs for roleplay purposes. If determined to be useful, I will continue to scrape more data.
In here are several files:
* `discord_rp_with_token_counts.json` - The original dataset in all its unprocessed glory. ~70k items. Total Average Token Length for all items: ~164.
* `125_tokens_10_messages_discord_rp.json` - Original dataset filtered for an average token length of 125 and a minimum conversation length of 10 messages. Mostly unprocessed.
* `80_tokens_6_messages_discord_rp.json` - Original dataset filtered for an average token length of 80 tokens and a minimum conversation length of 6 messages. Mostly unprocessed. The latter contains the former, so use one or the other, but not both.
* `80_tokens_3_messages_discord_rp.json` - Original dataset filtered for an average token length of 80 tokens and a minimum conversation length of 3 messages. Mostly unprocessed. The latter contains the former, so use one or the other, but not both.
* `opencai_rp.json` - Original dataset filtered for an average token length of 80 tokens and a minimum conversation length of 6 messages, then processed. Contains descriptions of characters, summary, scene, and genre tags provided by `gpt-3.5-turbo-16k`.
* `opencai_rp_metharme.json` - Original dataset filtered for an average token length of 80 tokens and a minimum conversation length of 6 messages, then processed, filtered to 4800 samples, and converted to metharme format.
Explanation of Properties:
* `timestamp` - Date of the interaction in YYYY-MM-DD format
* `conversations`: The conversation between the users in the chat. This is represented as a list of dictionaries, each dictionary representing a single utterance and containing three key-value pairs: `message`, referring to the utterance itself, `author` referring to their Discord username, and `is_bot`, which designates whether the message was sent by a human or a bot. `is_bot` was determined by checking if author still had a discriminator and, therefore, isn't 100% accurate.
|
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] |
Pablao0948/Xaropinho
|
Pablao0948
| 2023-11-17T05:10:55Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-17T05:10:31Z |
---
license: openrail
---
|
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] |
Simonk97/songyen
|
Simonk97
| 2023-11-17T05:41:40Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-17T05:41:06Z |
---
license: openrail
---
|
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] |
Zangs3011/no_robots_llama2
|
Zangs3011
| 2023-11-17T06:59:16Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-17T06:57:11Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: prompt
dtype: string
- name: prompt_id
dtype: string
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
- name: category
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 29092450
num_examples: 9500
- name: test
num_bytes: 1560738
num_examples: 500
download_size: 18917122
dataset_size: 30653188
---
# Dataset Card for "no_robots_llama2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
xDAN-datasets/ultrachat_500k
|
xDAN-datasets
| 2023-11-20T07:45:20Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-17T07:09:24Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: input
sequence: string
- name: output
sequence: string
splits:
- name: train
num_bytes: 2283549439
num_examples: 265311
download_size: 1220732415
dataset_size: 2283549439
---
# Dataset Card for "ultrachat_500k"
**数据集名称:**
*HuggingFaceH4/ultrachat_200k*
**数据集原型来源:**
*https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k*
**数据规模:**
*200k*
**数据生成:**
*chatGPT生成*
**数据领域:**
*包含广泛主题的对话*
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
marcus2000/hse_spam_dataset
|
marcus2000
| 2023-11-17T07:14:30Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-17T07:14:28Z |
---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 359224.64467005077
num_examples: 531
- name: test
num_bytes: 40590.35532994924
num_examples: 60
download_size: 216639
dataset_size: 399815.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
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] |
icaro23/jeanv2
|
icaro23
| 2023-11-17T07:34:12Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-17T07:32:32Z |
---
license: apache-2.0
---
|
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kwaikeg/KAgentInstruct
|
kwaikeg
| 2023-11-17T07:35:20Z | 0 | 0 |
[
"license:cc-by-nc-nd-4.0",
"region:us"
] | null | 2023-11-17T07:35:20Z |
---
license: cc-by-nc-nd-4.0
---
|
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ksanjeev284/octane
|
ksanjeev284
| 2023-11-17T08:37:50Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-17T08:30:52Z |
---
license: mit
---
|
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TrainingDataPro/dermatology-dataset-acne-redness-and-bags-under-the-eyes
|
TrainingDataPro
| 2023-11-17T12:07:00Z | 0 | 1 |
[
"task_categories:image-classification",
"task_categories:image-to-image",
"task_categories:object-detection",
"language:en",
"license:cc-by-nc-nd-4.0",
"medical",
"biology",
"code",
"region:us"
] |
[
"image-classification",
"image-to-image",
"object-detection"
] | 2023-11-17T08:40:20Z |
---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
- image-to-image
- object-detection
tags:
- medical
- biology
- code
dataset_info:
features:
- name: id
dtype: uint16
- name: front
dtype: image
- name: left_side
dtype: image
- name: right_side
dtype: image
- name: type
dtype: string
splits:
- name: train
num_bytes: 691862223.0
num_examples: 30
download_size: 691900290
dataset_size: 691862223.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Skin Defects Dataset
The dataset contains images of individuals with various skin conditions: **acne, skin redness, and bags under the eyes**. Each person is represented by **3 images** showcasing their specific skin issue. The dataset encompasses diverse *demographics, age, ethnicities, and genders.*
**Types of defects in the dataset**: acne, skin redness & bags under the eyes
- **Acne photos**: display different severities and types of acne such as whiteheads, blackheads, and cystic acne.
- **Skin redness photos**: display individuals with this condition, which may be caused by rosacea or eczema.
- **Bags under the eyes photos**: depicts individuals with noticeable bags under their eyes, often associated with lack of sleep, aging, or genetics.
## Full version of the dataset includes much more photos of people, leave a request on **[TrainingData](https://trainingdata.pro/data-market/skin-problems?utm_source=huggingface&utm_medium=cpc&utm_campaign=skin-defects)** to buy the dataset
The dataset is a valuable resource for researchers, developers, and organizations working at the **dermatology, cosmetics and medical sphere** to train, evaluate, and fine-tune **AI models** for real-world applications. It can be applied in various domains like *skincare, scientific research and advertising*.
# Get the Dataset
## This is just an example of the data
Leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market/skin-problems?utm_source=huggingface&utm_medium=cpc&utm_campaign=skin-defects) to learn about the price and buy the dataset**
# Content
The folder **files** includes:
- **3 folders** with images of people with the conditions mentioned in the name of the folder (**acne, skin redness or bags under the eyes**)
- each folder includes sub-folders with **3 images** of each person from different angles: **front, left side and right side**
### File with the extension .csv
- **id**: id of the person,
- **front**: link to access the front photo,
- **left_side**: link to access the left side's photo,
- **right_side**: link to access the right side's photo,
- **type**: type of the defect (**acne, skin redness or bags under the eyes**)
## **[TrainingData](https://trainingdata.pro/data-market/skin-problems?utm_source=huggingface&utm_medium=cpc&utm_campaign=skin-defects)** provides high-quality data annotation tailored to your needs
More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
*keywords: biometric dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, dermatology dataset, skin on the face, IGA scale, medical data, whiteheads, blackheads, cystic acne, rosacea, eczema disease dataset, cosmetology, multi-task learning approach, facial acne image dataset, bumps on face, facial skin lesions, skin conditions, skin images, skin characteristics, automatic facial skin defect detection system, human face images, acne marks, stains, skincare, skin problems, skin disease dataset, human images, deep learning, computer vision*
|
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wbxlala/Dreamer_Valence
|
wbxlala
| 2023-11-17T09:09:52Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-17T09:09:36Z |
---
dataset_info:
features:
- name: image
sequence:
sequence:
sequence: float64
- name: label
dtype: float64
splits:
- name: train
num_bytes: 499671504
num_examples: 414
download_size: 492824814
dataset_size: 499671504
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
wbxlala/Dreamer_Dominance
|
wbxlala
| 2023-11-17T09:10:11Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-17T09:09:56Z |
---
dataset_info:
features:
- name: image
sequence:
sequence:
sequence: float64
- name: label
dtype: float64
splits:
- name: train
num_bytes: 499671504
num_examples: 414
download_size: 492824813
dataset_size: 499671504
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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malucoelhaofc/MelanieMartinezVoiceV2
|
malucoelhaofc
| 2023-11-30T21:08:48Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-17T09:38:55Z |
---
license: openrail
---
|
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eugene1985/test
|
eugene1985
| 2023-11-17T09:41:42Z | 0 | 0 |
[
"license:other",
"region:us"
] | null | 2023-11-17T09:41:42Z |
---
license: other
license_name: dsinv
license_link: LICENSE
---
|
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