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 |
|---|---|---|---|---|---|---|---|---|---|
vishnu027/set2 | vishnu027 | 2023-12-07T09:20:47Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-07T09:20:39Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 113150632.0
num_examples: 400
- name: test
num_bytes: 14235239.0
num_examples: 50
- name: val
num_bytes: 14320219.0
num_examples: 50
download_size: 141614308
dataset_size: 141706090.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: val
path: data/val-*
---
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|
Lkhagvasurenam/p | Lkhagvasurenam | 2023-12-07T10:42:11Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-07T10:41:08Z | ---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 9144055.0
num_examples: 10
download_size: 9075232
dataset_size: 9144055.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
KoladeOdunope/data_for_report2 | KoladeOdunope | 2023-12-08T01:33:46Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-07T14:45:29Z | ---
dataset_info:
features:
- name: row
dtype: string
splits:
- name: train
num_bytes: 6103699.646471846
num_examples: 1332
- name: test
num_bytes: 325347.35352815397
num_examples: 71
download_size: 2619716
dataset_size: 6429047.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
ironchanchellor/Apollo_Cropped_V2 | ironchanchellor | 2023-12-11T00:52:15Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-07T20:56:24Z | ---
dataset_info:
features:
- name: pixel_values
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 64871514.0
num_examples: 487
- name: validation
num_bytes: 16737306.0
num_examples: 122
download_size: 80631119
dataset_size: 81608820.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
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|
Csplk/IntDesSty | Csplk | 2023-12-08T04:49:42Z | 7 | 0 | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"language:en",
"region:us"
]
| [
"image-classification"
]
| 2023-12-08T03:20:14Z | ---
task_categories:
- image-classification
language:
- en
pretty_name: intdessty
size_categories:
- 1K<n<10K
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|
Student1729/rotten-tomatoes-gm-dataset | Student1729 | 2023-12-08T07:18:30Z | 7 | 0 | [
"task_categories:text-classification",
"language:en",
"license:mit",
"region:us"
]
| [
"text-classification"
]
| 2023-12-08T06:54:58Z | ---
license: mit
task_categories:
- text-classification
language:
- en
--- | [
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|
iamnamas/2letter-condgentext2image | iamnamas | 2023-12-08T09:25:15Z | 7 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-08T08:51:15Z | ---
license: mit
dataset_info:
features:
- name: image
dtype: image
- name: caption
dtype: string
splits:
- name: train
num_bytes: 4861791.8
num_examples: 9600
download_size: 4927847
dataset_size: 4861791.8
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for Dataset Name
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[More Information Needed] | [
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|
Subhadeep/English_Hindi_Birla_dataset_pseudo_labelled_V2 | Subhadeep | 2023-12-09T01:16:55Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-08T09:17:37Z | ---
dataset_info:
config_name: Birla_v3
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: path
dtype: string
- name: sentence
dtype: string
- name: length
dtype: float64
- name: language
dtype: string
- name: whisper_transcript
sequence: int64
splits:
- name: train
num_bytes: 23140271696.0
num_examples: 97250
- name: dev
num_bytes: 2624138592.635
num_examples: 8259
download_size: 24890445472
dataset_size: 25764410288.635002
configs:
- config_name: Birla_v3
data_files:
- split: train
path: Birla_v3/train-*
- split: dev
path: Birla_v3/dev-*
---
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|
Seongill/TriviaQA_conflict_5_full_small | Seongill | 2023-12-08T12:39:07Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-08T12:39:03Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: substitute
dtype: string
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: is_conflict
dtype: bool
- name: num_replace
dtype: int64
- name: num_answer
dtype: int64
splits:
- name: train
num_bytes: 13763816
num_examples: 3771
download_size: 8354997
dataset_size: 13763816
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
skaltenp/bpa_eval-sft_walkthrough | skaltenp | 2023-12-08T16:22:57Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-08T16:22:51Z | ---
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: split
dtype: string
- name: z8_file_path
dtype: string
- name: demonstration
sequence:
sequence: string
- name: json_file_path
dtype: string
- name: id
dtype: string
- name: ulx_file_path
dtype: string
splits:
- name: train
num_bytes: 7041264
num_examples: 960
- name: valid
num_bytes: 6966385
num_examples: 960
- name: test
num_bytes: 7006729
num_examples: 960
download_size: 3782118
dataset_size: 21014378
---
# Dataset Card for "bpa_eval_level_2-sft_walkthrough"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
ZoabiTalal/TestTrain | ZoabiTalal | 2023-12-08T16:54:04Z | 7 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-08T16:34:24Z | ---
license: mit
---
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|
anthony-wss/librispeech_asr-audiodec_audiodec_24k_320d | anthony-wss | 2023-12-09T05:03:20Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-09T04:57:56Z | ---
configs:
- config_name: default
data_files:
- split: train.clean.360
path: data/train.clean.360-*
- split: train.other.500
path: data/train.other.500-*
dataset_info:
features:
- name: text
dtype: string
- name: id
dtype: string
- name: unit
sequence:
sequence: int64
splits:
- name: train.clean.360
num_bytes: 4496389172
num_examples: 104014
- name: train.other.500
num_bytes: 6144041489
num_examples: 148688
download_size: 2186014174
dataset_size: 10640430661
---
# Dataset Card for "librispeech_asr-audiodec_audiodec_24k_320d"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
vigneshgs7/Boundary_detection_Doc | vigneshgs7 | 2023-12-09T19:26:01Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-09T10:25:15Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 4375553760.0
num_examples: 88
download_size: 286343850
dataset_size: 4375553760.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
oshizo/japanese-wikipedia-paragraphs | oshizo | 2023-12-09T14:09:30Z | 7 | 0 | [
"language:ja",
"license:cc-by-sa-4.0",
"region:us"
]
| null | 2023-12-09T11:14:53Z | ---
license: cc-by-sa-4.0
dataset_info:
features:
- name: id
dtype: int64
- name: pageid
dtype: int64
- name: revid
dtype: int64
- name: title
dtype: string
- name: section
struct:
- name: dt
dtype: string
- name: h2
dtype: string
- name: h3
dtype: string
- name: h4
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 7388520171
num_examples: 10473325
download_size: 3987399592
dataset_size: 7388520171
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- ja
---
A slightly modified version of the parsing and chunking method for [singletongue/wikipedia-utils](https://huggingface.co/datasets/singletongue/wikipedia-utils).
Pre-processing was performed using [oshizo/wikipedia-utils](https://github.com/oshizo/wikipedia-utils), which is a fork of the original repository, [singletongue/wikipedia-utils](https://github.com/singletongue/wikipedia-utils).
The Wikipedia data was crawled between 2023/12/5 and 2023/12/8. | [
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|
rthatha/GLDv2-All-Caption-Filename | rthatha | 2023-12-09T17:02:13Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-09T11:45:35Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 109018225.0
num_examples: 203
download_size: 108837389
dataset_size: 109018225.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
raminass/Labelling | raminass | 2023-12-10T12:11:13Z | 7 | 0 | [
"region:us"
]
| null | 2023-12-10T12:11:11Z | ---
dataset_info:
features:
- name: id
dtype: int64
- name: label
dtype: string
splits:
- name: train
num_bytes: 692
num_examples: 26
download_size: 1696
dataset_size: 692
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
yuyijiong/Multi-Doc-QA-Chinese | yuyijiong | 2023-12-06T04:38:57Z | 6 | 10 | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:zh",
"license:cc-by-nc-4.0",
"region:us"
]
| [
"text-generation"
]
| 2023-10-21T08:23:55Z | ---
license: cc-by-nc-4.0
task_categories:
- text-generation
language:
- zh
size_categories:
- 10K<n<100K
---
* 2023.12.4更新：改进答案的格式，强制所有答案在回答时必须先给出原文。旧版本的问答已经移至old文件夹。
# 中文多文档问答数据集
* 参考文档源数据均来自[悟道开源200G数据](https://data.baai.ac.cn/data)
* 问题和回答是通过大语言模型（gpt-3.5）自动生成的，但质量很高。
* raw数据集中，每个样本包含 <font color=red> 一个参考文档、99个无关文档、一个问题、一个基于参考文档的回答</font>。可以训练模型从大量文档中抽取关键信息的能力。不同领域的文档保存在不同json文件中。
* 原始数据经过筛选、整合转化为chatml形式的指令微调数据后，每条数据大约包含30个参考文档，以及5个对应的问答对。 | [
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|
hsienchen/CORD-T1 | hsienchen | 2023-12-05T12:18:33Z | 6 | 0 | [
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:ab",
"license:apache-2.0",
"medical",
"region:us"
]
| [
"token-classification"
]
| 2023-11-27T20:57:00Z | ---
license: apache-2.0
task_categories:
- token-classification
language:
- ab
tags:
- medical
pretty_name: CORD2
size_categories:
- 1K<n<10K
---
# CORD-T1
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 57404876
num_examples: 15
- name: validation
num_bytes:
num_examples: 3
- name: test
num_bytes:
num_examples: 3
download_size: 57334757
dataset_size: 57404876
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
task_categories:
- token-classification
language:
- ak
tags:
- medical
pretty_name: CORD-T1
size_categories:
- 1K<n<10K
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|
adamjweintraut/eli5_precomputed_top_slice | adamjweintraut | 2023-12-06T01:34:22Z | 6 | 0 | [
"region:us"
]
| null | 2023-11-29T01:23:33Z | ---
dataset_info:
features:
- name: index
dtype: int64
- name: q_id
dtype: string
- name: question
dtype: string
- name: best_answer
dtype: string
- name: all_answers
sequence: string
- name: num_answers
dtype: int64
- name: top_answers
sequence: string
- name: num_top_answers
dtype: int64
- name: context
dtype: string
- name: orig
dtype: string
- name: target
dtype: string
splits:
- name: train
num_bytes: 277523684
num_examples: 10000
- name: test
num_bytes: 34508046
num_examples: 1250
- name: validation
num_bytes: 34663133
num_examples: 1250
download_size: 214939984
dataset_size: 346694863
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
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|
alwanrahmana/ner-csv-5 | alwanrahmana | 2023-12-05T02:43:12Z | 6 | 0 | [
"task_categories:token-classification",
"language:id",
"region:us"
]
| [
"token-classification"
]
| 2023-11-29T07:50:21Z | ---
task_categories:
- token-classification
language:
- id
pretty_name: NER
--- | [
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|
Lunio/Sitri | Lunio | 2023-12-05T08:36:13Z | 6 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-02T01:20:04Z | ---
license: openrail
---
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|
athirdpath/Merge_Glue | athirdpath | 2023-12-05T11:00:18Z | 6 | 0 | [
"language:en",
"license:cc-by-nc-4.0",
"region:us"
]
| null | 2023-12-04T04:29:39Z | ---
license: cc-by-nc-4.0
language:
- en
---
### Dataset
The glue consists of a roughly even three-way split between:
- The entirety of HF No Robots.
- The entirety of TinyPixel/orca-mini
- Part of the Alpaca dataset (randomly chosen) | [
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|
jahb57/bert_embeddings_BATCH_8 | jahb57 | 2023-12-09T10:50:07Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-04T15:38:42Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19998439546
num_examples: 100000
download_size: 20122555820
dataset_size: 19998439546
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/bert_embeddings_BATCH_10 | jahb57 | 2023-12-10T01:31:52Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-04T16:33:12Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19763873524
num_examples: 100000
download_size: 19888225526
dataset_size: 19763873524
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/bert_embeddings_BATCH_11 | jahb57 | 2023-12-10T04:10:19Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-04T16:55:30Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19639580200
num_examples: 100000
download_size: 19764105560
dataset_size: 19639580200
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
cmu-mlsp/librispeech960-encodec1024_asr | cmu-mlsp | 2023-12-05T17:19:28Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-05T03:58:58Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
- split: validation_other
path: data/validation_other-*
- split: test_other
path: data/test_other-*
dataset_info:
features:
- name: text
dtype: string
- name: audio_codes
sequence: string
- name: id
dtype: string
- name: speaker_id
dtype: int64
- name: chapter_id
dtype: int64
splits:
- name: train
num_bytes: 1859401929
num_examples: 281241
- name: validation
num_bytes: 10515210
num_examples: 2703
- name: test
num_bytes: 10516648
num_examples: 2620
- name: validation_other
num_bytes: 9974741
num_examples: 2864
- name: test_other
num_bytes: 10389123
num_examples: 2939
download_size: 0
dataset_size: 1900797651
---
# Dataset Card for "librispeech960-encodec1024_asr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
gordicaleksa/serbian-llm-eval | gordicaleksa | 2023-12-05T13:48:06Z | 6 | 1 | [
"language:sr",
"license:apache-2.0",
"region:us"
]
| null | 2023-12-05T13:42:36Z | ---
license: apache-2.0
language:
- sr
---
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|
shenberg1/aishell3 | shenberg1 | 2023-12-05T23:14:33Z | 6 | 0 | [
"task_categories:automatic-speech-recognition",
"task_categories:text-to-speech",
"task_categories:audio-classification",
"language:zh",
"license:apache-2.0",
"audio",
"speech",
"mandarin",
"pinyin",
"region:us"
]
| [
"automatic-speech-recognition",
"text-to-speech",
"audio-classification"
]
| 2023-12-05T21:39:04Z | ---
license: apache-2.0
language:
- zh
task_categories:
- automatic-speech-recognition
- text-to-speech
- audio-classification
paperswithcode_id: aishell-3
tags:
- audio
- speech
- mandarin
- pinyin
---
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|
ThWu/filtered_nectar | ThWu | 2023-12-06T03:16:02Z | 6 | 1 | [
"region:us"
]
| null | 2023-12-06T03:09:24Z | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: answers
list:
- name: answer
dtype: string
- name: model
dtype: string
- name: rank
dtype: float64
- name: turns
dtype: int64
- name: num_responses
dtype: int64
- name: source
sequence: string
- name: good_natured
dtype: bool
splits:
- name: train
num_bytes: 1203987935.0543852
num_examples: 182470
download_size: 519016885
dataset_size: 1203987935.0543852
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "filtered_nectar"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
ryanwible/openassistant-guanaco-prompt-reformatted-v2 | ryanwible | 2023-12-06T15:55:34Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-06T15:55:32Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 15401731
num_examples: 9846
download_size: 8983165
dataset_size: 15401731
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
We-Want-GPU/yi-ko-DPO-noprompt-dataset | We-Want-GPU | 2023-12-06T18:55:56Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-06T18:55:53Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
splits:
- name: train
num_bytes: 7250081
num_examples: 3826
download_size: 3600412
dataset_size: 7250081
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
shredder-31/MCQ_Question_DataSets | shredder-31 | 2023-12-06T20:32:38Z | 6 | 0 | [
"language:en",
"region:us"
]
| null | 2023-12-06T20:23:22Z | ---
dataset_info:
features:
- name: Context
dtype: string
- name: Answer
dtype: string
- name: Question
dtype: string
- name: Choices
dtype: string
splits:
- name: train
num_bytes: 180865039
num_examples: 111366
download_size: 111809572
dataset_size: 180865039
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- en
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|
natetsang/fishgpt | natetsang | 2023-12-06T21:39:11Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-06T20:58:28Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 44825848.542066276
num_examples: 11542
- name: test
num_bytes: 4982807.457933723
num_examples: 1283
download_size: 31431080
dataset_size: 49808656.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
shahp7575/MinimalBlackAI-images | shahp7575 | 2023-12-07T03:10:12Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-07T03:09:58Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 9835873.0
num_examples: 77
download_size: 9837820
dataset_size: 9835873.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
dvijay/guanaco-1k-formatted | dvijay | 2023-12-07T04:42:58Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-07T04:42:56Z | ---
dataset_info:
features:
- name: text
dtype: string
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 3293896
num_examples: 1000
download_size: 1965126
dataset_size: 3293896
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
dolo650/lamini_docs_processed | dolo650 | 2023-12-07T06:13:00Z | 6 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-07T06:06:22Z | ---
license: apache-2.0
---
License/Credit goes to the original creators of the dataset.
This is a sample dataset used for instruction fine tuning of LLMs | [
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|
NghiemAbe/visquad | NghiemAbe | 2023-12-07T08:38:24Z | 6 | 0 | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:vi",
"region:us"
]
| [
"question-answering",
"text-generation"
]
| 2023-12-07T08:35:42Z | ---
dataset_info:
features:
- name: answer
dtype: string
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 49808351
num_examples: 33084
download_size: 25312283
dataset_size: 49808351
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- question-answering
- text-generation
language:
- vi
size_categories:
- 10K<n<100K
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|
satyambarnwal/cartoonizer-dataset | satyambarnwal | 2023-12-07T09:19:24Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-07T09:19:17Z | ---
dataset_info:
features:
- name: original_image
dtype: image
- name: edit_prompt
dtype: string
- name: cartoonized_image
dtype: image
splits:
- name: train
num_bytes: 31656230.0
num_examples: 50
download_size: 31658428
dataset_size: 31656230.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
skaltenp/bpa_eval_960_perception_prompts | skaltenp | 2023-12-07T15:09:51Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-07T15:09:45Z | ---
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: demonstration
sequence:
sequence: string
- name: split
dtype: string
- name: z8_file_path
dtype: string
- name: id
dtype: string
- name: json_file_path
dtype: string
- name: ulx_file_path
dtype: string
splits:
- name: train
num_bytes: 29638427
num_examples: 960
- name: valid
num_bytes: 30130770
num_examples: 960
- name: test
num_bytes: 29710259
num_examples: 960
download_size: 9237053
dataset_size: 89479456
---
# Dataset Card for "bpa_eval_960_perception_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Jay-Rajput/oci_data | Jay-Rajput | 2023-12-08T04:27:23Z | 6 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-08T04:26:42Z | ---
license: apache-2.0
---
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|
keeper-tax/w2-nec-user-address | keeper-tax | 2023-12-08T23:56:21Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-08T19:33:08Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
- name: metadata
struct:
- name: template
dtype: string
- name: font
dtype: string
- name: rotation
dtype: int64
splits:
- name: train
num_bytes: 2152691180.4
num_examples: 2400
- name: validation
num_bytes: 100091966.0
num_examples: 100
- name: test
num_bytes: 30036238.0
num_examples: 41
download_size: 2278750774
dataset_size: 2282819384.4
---
# Dataset Card for "w2-nec-user-address"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Zen1t/texts-for-articles | Zen1t | 2023-12-10T10:42:41Z | 6 | 0 | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:ru",
"license:openrail",
"region:us"
]
| [
"text-generation"
]
| 2023-12-09T10:43:56Z | ---
license: openrail
task_categories:
- text-generation
language:
- ru
size_categories:
- n<1K
--- | [
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|
kpriyanshu256/semeval-task-8-b-v2-test-paraphrase | kpriyanshu256 | 2023-12-09T12:40:05Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-09T12:40:04Z | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: model
dtype: string
- name: source
dtype: string
- name: label
dtype: int64
- name: id
dtype: int64
- name: paraphrase
dtype: string
splits:
- name: test
num_bytes: 8206381
num_examples: 3000
download_size: 3712031
dataset_size: 8206381
---
# Dataset Card for "semeval-task-8-b-v2-test-paraphrase"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
rthatha/GLDv2-50-Caption-Monza | rthatha | 2023-12-09T17:05:17Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-09T13:01:28Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 24936539.0
num_examples: 50
download_size: 24881533
dataset_size: 24936539.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
davidfant/rapidapi-example-responses-tokenized-xlm-roberta | davidfant | 2023-12-09T23:58:45Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-09T23:58:32Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype: int64
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: category
dtype: string
splits:
- name: train
num_bytes: 166566222.06213877
num_examples: 43755
- name: test
num_bytes: 18508626.93786124
num_examples: 4862
download_size: 62641988
dataset_size: 185074849.0
---
# Dataset Card for "rapidapi-example-responses-tokenized-xlm-roberta"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
varuUM/mimic_cxr_dpo | varuUM | 2023-12-10T15:10:55Z | 6 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-10T02:10:13Z | ---
license: mit
dataset_info:
features:
- name: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
splits:
- name: train
num_bytes: 75481638
num_examples: 125417
download_size: 25868187
dataset_size: 75481638
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
ibupari/hitobrot | ibupari | 2023-12-10T16:35:02Z | 6 | 0 | [
"region:us"
]
| null | 2023-12-10T16:35:00Z | ---
dataset_info:
features:
- name: title
dtype: string
- name: subtitle
dtype: string
- name: paragraph
dtype: string
- name: sentences
dtype: string
splits:
- name: train
num_bytes: 1324745
num_examples: 1000
download_size: 264663
dataset_size: 1324745
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
soda-lmu/tweet-annotation-sensitivity-2 | soda-lmu | 2023-12-08T15:15:14Z | 5 | 0 | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"task_ids:hate-speech-detection",
"size_categories:10K<n<100K",
"language:en",
"region:us"
]
| [
"text-classification"
]
| 2023-09-13T14:35:57Z | ---
task_categories:
- text-classification
language:
- en
task_ids:
- sentiment-classification
- hate-speech-detection
size_categories:
- 10K<n<100K
---
# Tweet Annotation Sensitivity Experiment 2: Annotations in Five Experimental Conditions
***<font color= red>Attention: This repository contains cases that might be offensive or upsetting. We do not support the views expressed in these hateful posts.</font>***
## Description
The dataset contains tweet data annotations of **hate speech** (HS) and **offensive language** (OL) in five experimental conditions. The tweet data was sampled from the corpus created by [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955). We selected 3,000 Tweets for our annotation. We developed five experimental conditions that varied the annotation task structure, as shown in the following figure. All tweets were annotated in each condition.
- **<font color= #871F78>Condition A</font>** presented the tweet and three options on a single screen: hate speech, offensive language, or neither. Annotators could select one or both of hate speech, offensive language, or indicate that neither applied.
- Conditions B and C split the annotation of a single tweet across two screens.
+ For **<font color= Blue>Condition B</font>**, the first screen prompted the annotator to indicate whether the tweet contained hate speech. On the following screen, they were shown the tweet again and asked whether it contained offensive language.
+ **<font color= red>Condition C</font>** was similar to Condition B, but flipped the order of hate speech and offensive language for each tweet.
- In Conditions D and E, the two tasks are treated independently with annotators being asked to first annotate all tweets for one task, followed by annotating all tweets again for the second task.
+ Annotators assigned **<font color=green>Condition D</font>** were first asked to annotate hate speech for all their assigned tweets, and then asked to annotate offensive language for the same set of tweets.
+ **Condition E** worked the same way, but started with the offensive language annotation task followed by the hate speech annotation task.
We recruited US-based annotators from the crowdsourcing platform [Prolific](https://www.prolific.com/) during November and December 2022. Each annotator annotated up to 50 tweets. The dataset also contains demographic information about the annotators. Annotators received a fixed hourly wage in excess of the US federal minimum wage after completing the task.
<img src="https://raw.githubusercontent.com/chkern/tweet-annotation-sensitivity/main/fig/exp_conditions.png" width = "300" height = "200" alt="" align=center />
## Codebook
| Column Name | Description | Type |
| -------------- | ------------------ |---------------- |
| case_id | case ID | integer |
| duration_seconds | duration of connection to task in seconds | integer |
| last_screen | last question answered | factor |
| device | device type | factor |
| ethn_hispanic | Hispanic race/ethnicity | binary |
| ethn_white | White race/ethnicity | binary |
| ethn_afr_american | African-American race/ethnicity | binary |
| ethn_asian | Asian race/ethnicity | binary |
| ethn_sth_else | race/ethnicity something else | binary |
| ethn_prefer_not | race/ethnicity prefer not to say | binary |
| age | age | integer |
| education | education attainment <br>1: Less than high school <br>2: High school <br>3: Some college <br>4: College graduate <br>5: Master's degree or professional degree (law, medicine, MPH, etc.) <br>6: Doctoral degree (PhD, DPH, EdD, etc.)| factor |
| english_fl | English as first language | binary |
| twitter_use | Twitter use frequency <br>1: Most days <br>2: Most weeks, but not every day <br>3: A few times a month <br>4: A few times a year <br>5: Less often <br>6: Never | factor |
| socmedia_use | social media use frequency <br>1: Most days <br>2: Most weeks, but not every day <br>3: A few times a month <br>4: A few times a year <br>5: Less often <br>6: Never | factor |
| prolific_hours | workload on the platform prolific in hours in the last month | integer |
| task_fun | task perception: fun | binary |
| task_interesting | task perception: interesting | binary |
| task_boring | task perception: boring | binary |
| task_repetitive | task perception: repetitive | binary |
| task_important | task perception: important | binary |
| task_depressing | task perception: depressing | binary |
| task_offensive | task perception: offensive | binary |
| repeat_tweet_coding | likelihood for another tweet task <br>1: Not at all likely <br>2: Somewhat likely <br>3: Very likely | factor |
| repeat_hs_coding | likelihood for another hate speech task <br>1: Not at all likely <br>2: Somewhat likely <br>3: Very likely | factor |
| target_online_harassment | targeted by hateful online behavior | binary |
| target_other_harassment | targeted by other hateful behavior | binary |
| party_affiliation | party identification <br>1: Republican <br>2: Democrat <br>3: Independent | factor |
| societal_relevance_hs | relevance perception of hate speech <br>1: Not at all likely <br>2: Somewhat likely <br>3: Very likely | factor |
| annotator_id | annotator ID | integer |
| condition | experimental conditions (A-E) | factor |
| tweet_batch | tweet ID in batch | factor |
| hate_speech | hate speech annotation | logical |
| offensive_language | offensive language annotation | logical |
| tweet_id | tweet ID | integer |
| orig_label_hs | number of persons who annotated the tweet as hate speech in the original dataset from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955) | integer |
| orig_label_ol | number of persons who annotated the tweet as offensive language in the original dataset from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955) | integer |
| orig_label_ne | number of persons who annotated the tweet as neither in the original dataset from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955) | integer |
| tweet_hashed | tweet with usernames hashed | character |
## Citation
If you find the dataset useful, please cite:
```
@inproceedings{kern-etal-2023-annotation,
title = "Annotation Sensitivity: Training Data Collection Methods Affect Model Performance",
author = "Kern, Christoph and
Eckman, Stephanie and
Beck, Jacob and
Chew, Rob and
Ma, Bolei and
Kreuter, Frauke",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-emnlp.992",
pages = "14874--14886",
}
```
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|
FreedomIntelligence/Evol-Instruct-Chinese-GPT4 | FreedomIntelligence | 2023-12-06T03:47:42Z | 5 | 5 | [
"task_categories:text-generation",
"task_categories:conversational",
"task_categories:text2text-generation",
"size_categories:100M<n<1B",
"language:zh",
"arxiv:2309.12053",
"arxiv:2304.10453",
"region:us"
]
| [
"text-generation",
"conversational",
"text2text-generation"
]
| 2023-10-07T02:09:46Z | ---
language:
- zh
size_categories:
- 100M<n<1B
task_categories:
- text-generation
- conversational
- text2text-generation
---
The dataset is created by (1) translating English questions of [Evol-instruct-70k](https://huggingface.co/datasets/WizardLM/WizardLM_evol_instruct_70k) into Chinese and (2) requesting GPT4 to generate Chinese responses.
For more details, please refer to:
- **Repository**:
- https://github.com/FreedomIntelligence/AceGPT
- https://github.com/FreedomIntelligence/LLMZoo
- **Paper**:
- [AceGPT, Localizing Large Language Models in Arabic](https://arxiv.org/abs/2309.12053)
- [Phoenix: Democratizing ChatGPT across Languages](https://arxiv.org/abs/2304.10453)
### BibTeX entry and citation info
```bibtex
@article{huang2023acegpt,
title={AceGPT, Localizing Large Language Models in Arabic},
author={Huang, Huang and Yu, Fei and Zhu, Jianqing and Sun, Xuening and Cheng, Hao and Song, Dingjie and Chen, Zhihong and Alharthi, Abdulmohsen and An, Bang and Liu, Ziche and others},
journal={arXiv preprint arXiv:2309.12053},
year={2023}
}
@article{chen2023phoenix,
title={Phoenix: Democratizing chatgpt across languages},
author={Chen, Zhihong and Jiang, Feng and Chen, Junying and Wang, Tiannan and Yu, Fei and Chen, Guiming and Zhang, Hongbo and Liang, Juhao and Zhang, Chen and Zhang, Zhiyi and others},
journal={arXiv preprint arXiv:2304.10453},
year={2023}
}
``` | [
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|
parksimon0808/prm800k-llama-verifier | parksimon0808 | 2023-12-05T20:52:04Z | 5 | 0 | [
"region:us"
]
| null | 2023-10-26T00:09:40Z | ---
dataset_info:
features:
- name: texts
dtype: string
- name: input_ids
sequence: int32
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 4528067256
num_examples: 1052294
- name: test
num_bytes: 145143622
num_examples: 32408
download_size: 353282233
dataset_size: 4673210878
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for "prm800k-llama"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
KETI-AIR/kor_quarel | KETI-AIR | 2023-12-06T01:21:21Z | 5 | 0 | [
"language:ko",
"license:cc-by-4.0",
"region:us"
]
| null | 2023-11-08T06:36:14Z | ---
language:
- ko
license:
- cc-by-4.0
pretty_name: QUAREL
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: id
dtype: string
- name: answer_index
dtype: int32
- name: logical_forms
sequence: string
- name: logical_form_pretty
dtype: string
- name: world_literals
struct:
- name: world1
sequence: string
- name: world2
sequence: string
- name: question
dtype: string
splits:
- name: train
num_bytes: 1191886
num_examples: 1941
- name: validation
num_bytes: 171905
num_examples: 278
- name: test
num_bytes: 342838
num_examples: 552
download_size: 615579
dataset_size: 1706629
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# Dataset Card for Quarel
## Licensing Information
The data is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
## Source Data Citation INformation
```
@inproceedings{quarel_v1,
title={QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships},
author={Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal},
year={2018},
journal={arXiv:1805.05377v1}
}
``` | [
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|
jahb57/bert_embeddings_BATCH_3 | jahb57 | 2023-12-08T15:04:57Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-04T03:57:22Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19704656846
num_examples: 100000
download_size: 19829116609
dataset_size: 19704656846
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/bert_embeddings_BATCH_12 | jahb57 | 2023-12-10T21:34:03Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-04T17:12:08Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19700359751
num_examples: 100000
download_size: 19824797074
dataset_size: 19700359751
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jahb57/bert_embeddings_BATCH_13 | jahb57 | 2023-12-11T00:11:23Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-04T17:28:47Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
- name: pooler_output
sequence: float32
splits:
- name: train
num_bytes: 19503622818
num_examples: 100000
download_size: 19628259735
dataset_size: 19503622818
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
ChayanM/mimic-llama2-150k | ChayanM | 2023-12-05T02:17:36Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-05T02:17:34Z | ---
dataset_info:
features:
- name: 'FINDINGS:'
dtype: string
splits:
- name: train
num_bytes: 59974646
num_examples: 149756
download_size: 20364864
dataset_size: 59974646
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
ammarnasr/Customizable-Code-Assistant-Data | ammarnasr | 2023-12-05T04:21:57Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-05T04:17:57Z | ---
dataset_info:
features:
- name: repo_name
dtype: string
- name: repo_url
dtype: string
- name: repo_description
dtype: string
- name: repo_stars
dtype: int64
- name: repo_forks
dtype: int64
- name: repo_last_updated
dtype: string
- name: repo_created_at
dtype: string
- name: repo_size
dtype: int64
- name: repo_license
dtype: string
- name: language
dtype: string
- name: text
dtype: string
- name: avg_line_length
dtype: float64
- name: max_line_length
dtype: int64
- name: alphnanum_fraction
dtype: float64
splits:
- name: train
num_bytes: 2004792
num_examples: 604
download_size: 174531
dataset_size: 2004792
---
# Dataset Card for "Customizable-Code-Assistant-Data"
## Dataset Summary
This dataset contains is a dummy Version of the Customizable Code Assistant Dataset.
## Supported Tasks and Leaderboards
Customizable Code Assistant is a dataset for code completion. The task is to predict the next token in a code snippet. The dataset is designed to be customizable, so that it can be used for different programming languages and different code completion tasks.
[More Information Needed] | [
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|
rntc/blurb_bc5chem_aug_-template_false | rntc | 2023-12-05T10:55:44Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-05T05:18:33Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: type
dtype: string
- name: ner_tags
sequence:
class_label:
names:
'0': O
'1': B
'2': I
splits:
- name: train
num_bytes: 10361965
num_examples: 4560
- name: validation
num_bytes: 10913316
num_examples: 4581
- name: test
num_bytes: 10037457
num_examples: 4797
download_size: 4749221
dataset_size: 31312738
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
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|
blanchon/EuroSAT_RGB | blanchon | 2023-12-05T13:02:42Z | 5 | 0 | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"land-cover-classification",
"sentinel-2",
"arxiv:1709.00029",
"region:us"
]
| [
"image-classification"
]
| 2023-12-05T12:56:11Z | ---
language: en
license: unknown
size_categories:
- 10K<n<100K
task_categories:
- image-classification
paperswithcode_id: eurosat
pretty_name: EuroSAT RGB
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
- land-cover-classification
- sentinel-2
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Annual Crop
'1': Forest
'2': Herbaceous Vegetation
'3': Highway
'4': Industrial Buildings
'5': Pasture
'6': Permanent Crop
'7': Residential Buildings
'8': River
'9': SeaLake
- name: filename
dtype: string
splits:
- name: train
num_bytes: 104485303.0
num_examples: 16200
- name: test
num_bytes: 34726245.0
num_examples: 5400
- name: validation
num_bytes: 34781690.0
num_examples: 5400
download_size: 174279561
dataset_size: 173993238.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
# EuroSAT RGB
<!-- Dataset thumbnail -->
<!-- Provide a quick summary of the dataset. -->
EUROSAT RGB is the RGB version of the EUROSAT dataset based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples.
- **Paper:** https://arxiv.org/abs/1709.00029
- **Homepage:** https://github.com/phelber/EuroSAT
## Description
<!-- Provide a longer summary of what this dataset is. -->
The EuroSAT dataset is a comprehensive land cover classification dataset that focuses on images taken by the [ESA Sentinel-2 satellite](https://sentinel.esa.int/web/sentinel/missions/sentinel-2). It contains a total of 27,000 images, each with a resolution of 64x64 pixels. These images cover 10 distinct land cover classes and are collected from over 34 European countries.
The dataset is available in two versions: **RGB only** (this repo) and all 13 [Multispectral (MS) Sentinel-2 bands](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/resolutions/spatial). EuroSAT is considered a relatively easy dataset, with approximately 98.6% accuracy achievable using a ResNet-50 architecture.
- **Total Number of Images**: 27000
- **Bands**: 3 (RGB)
- **Image Resolution**: 64x64m
- **Land Cover Classes**: 10
- Classes: Annual Crop, Forest, Herbaceous Vegetation, Highway, Industrial Buildings, Pasture, Permanent Crop, Residential Buildings, River, SeaLake
## Usage
To use this dataset, simply use `datasets.load_dataset("blanchon/EuroSAT_RGB")`.
<!-- Provide any additional information on how to use this dataset. -->
```python
from datasets import load_dataset
EuroSAT_RGB = load_dataset("blanchon/EuroSAT_RGB")
```
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
If you use the EuroSAT dataset in your research, please consider citing the following publication:
```bibtex
@article{helber2017eurosat,
title={EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification},
author={Helber, et al.},
journal={ArXiv preprint arXiv:1709.00029},
year={2017}
}
```
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|
blanchon/EuroSAT_MSI | blanchon | 2023-12-05T13:33:44Z | 5 | 0 | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"land-cover-classification",
"multispectral",
"sentinel-2",
"arxiv:1709.00029",
"region:us"
]
| [
"image-classification"
]
| 2023-12-05T13:15:45Z | ---
language: en
license: unknown
size_categories:
- 10K<n<100K
task_categories:
- image-classification
paperswithcode_id: eurosat
pretty_name: EuroSAT MSI
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
- land-cover-classification
- multispectral
- sentinel-2
dataset_info:
features:
- name: image
dtype:
array3_d:
dtype: uint16
shape:
- 64
- 64
- 13
- name: label
dtype:
class_label:
names:
'0': Annual Crop
'1': Forest
'2': Herbaceous Vegetation
'3': Highway
'4': Industrial Buildings
'5': Pasture
'6': Permanent Crop
'7': Residential Buildings
'8': River
'9': SeaLake
- name: filename
dtype: string
splits:
- name: train
num_bytes: 1995359806
num_examples: 16200
- name: test
num_bytes: 665119564
num_examples: 5400
- name: validation
num_bytes: 665120060
num_examples: 5400
download_size: 2379014584
dataset_size: 3325599430
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
# EuroSAT MSI
<!-- Dataset thumbnail -->
<!-- Provide a quick summary of the dataset. -->
EUROSAT is a classification dataset based on Sentinel-2 satellite images covering 13 spectral bands and consisting of 10 classes with 27000 labeled and geo-referenced samples.
- **Paper:** https://arxiv.org/abs/1709.00029
- **Homepage:** https://github.com/phelber/EuroSAT
## Description
<!-- Provide a longer summary of what this dataset is. -->
The EuroSAT dataset is a comprehensive land cover classification dataset that focuses on images taken by the [ESA Sentinel-2 satellite](https://sentinel.esa.int/web/sentinel/missions/sentinel-2). It contains a total of 27,000 images, each with a resolution of 64x64 pixels. These images cover 10 distinct land cover classes and are collected from over 34 European countries.
The dataset is available in two versions: RGB only and **all 13** (this repo) [Multispectral (MS) Sentinel-2 bands](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/resolutions/spatial). EuroSAT is considered a relatively easy dataset, with approximately 98.6% accuracy achievable using a ResNet-50 architecture.
- **Total Number of Images**: 27000
- **Bands**: 13 (MSI)
- **Image Resolution**: 64x64m
- **Land Cover Classes**: 10
- Classes: Annual Crop, Forest, Herbaceous Vegetation, Highway, Industrial Buildings, Pasture, Permanent Crop, Residential Buildings, River, SeaLake
## Usage
To use this dataset, simply use `datasets.load_dataset("blanchon/EuroSAT_MSI")`.
<!-- Provide any additional information on how to use this dataset. -->
```python
from datasets import load_dataset
EuroSAT_MSI = load_dataset("blanchon/EuroSAT_MSI")
```
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
If you use the EuroSAT dataset in your research, please consider citing the following publication:
```bibtex
@article{helber2017eurosat,
title={EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification},
author={Helber, et al.},
journal={ArXiv preprint arXiv:1709.00029},
year={2017}
}
```
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|
tillschwoerer/toxic-comments | tillschwoerer | 2023-12-06T08:11:13Z | 5 | 0 | [
"size_categories:100K<n<1M",
"language:en",
"region:us"
]
| null | 2023-12-05T16:17:53Z | ---
dataset_info:
features:
- name: comment_text
dtype: string
- name: toxic
dtype: int64
splits:
- name: train
num_bytes: 418719
num_examples: 1000
download_size: 272062
dataset_size: 418719
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- en
size_categories:
- 100K<n<1M
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|
sanchit-gandhi/voxpopuli_dummy | sanchit-gandhi | 2023-12-05T16:49:09Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-05T16:49:06Z | ---
dataset_info:
config_name: nl
features:
- name: audio_id
dtype: string
- name: language
dtype:
class_label:
names:
'0': en
'1': de
'2': fr
'3': es
'4': pl
'5': it
'6': ro
'7': hu
'8': cs
'9': nl
'10': fi
'11': hr
'12': sk
'13': sl
'14': et
'15': lt
'16': en_accented
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: raw_text
dtype: string
- name: normalized_text
dtype: string
- name: gender
dtype: string
- name: speaker_id
dtype: string
- name: is_gold_transcript
dtype: bool
- name: accent
dtype: string
splits:
- name: validation
num_bytes: 37298110.0
num_examples: 73
download_size: 30081800
dataset_size: 37298110.0
configs:
- config_name: nl
data_files:
- split: validation
path: nl/validation-*
---
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|
adamjweintraut/eli5_lfqa_best_slice | adamjweintraut | 2023-12-06T01:09:33Z | 5 | 1 | [
"region:us"
]
| null | 2023-12-06T01:09:23Z | ---
dataset_info:
features:
- name: index
dtype: int64
- name: q_id
dtype: string
- name: question
dtype: string
- name: best_answer
dtype: string
- name: all_answers
sequence: string
- name: num_answers
dtype: int64
- name: top_answers
sequence: string
- name: num_top_answers
dtype: int64
- name: context
dtype: string
- name: orig
dtype: string
- name: target
dtype: string
splits:
- name: train
num_bytes: 138199303
num_examples: 10000
- name: test
num_bytes: 17022480
num_examples: 1250
- name: validation
num_bytes: 17375258
num_examples: 1250
download_size: 103906913
dataset_size: 172597041
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
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|
adamjweintraut/eli5_precomputed_best | adamjweintraut | 2023-12-06T02:26:41Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-06T02:21:28Z | ---
dataset_info:
features:
- name: index
dtype: int64
- name: q_id
dtype: string
- name: question
dtype: string
- name: best_answer
dtype: string
- name: all_answers
sequence: string
- name: num_answers
dtype: int64
- name: top_answers
sequence: string
- name: num_top_answers
dtype: int64
- name: context
dtype: string
- name: orig
dtype: string
- name: target
dtype: string
splits:
- name: train
num_bytes: 5071864050.742018
num_examples: 183333
- name: test
num_bytes: 633993380.6289911
num_examples: 22917
- name: validation
num_bytes: 633993380.6289911
num_examples: 22917
download_size: 3932220410
dataset_size: 6339850812.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
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|
jingfengliu/github-issues | jingfengliu | 2023-12-06T02:55:30Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-06T02:55:28Z | ---
dataset_info:
features:
- name: url
dtype: string
- name: repository_url
dtype: string
- name: labels_url
dtype: string
- name: comments_url
dtype: string
- name: events_url
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: number
dtype: int64
- name: title
dtype: string
- name: user
struct:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: site_admin
dtype: bool
- name: labels
list:
- name: id
dtype: int64
- name: node_id
dtype: string
- name: url
dtype: string
- name: name
dtype: string
- name: color
dtype: string
- name: default
dtype: bool
- name: description
dtype: string
- name: state
dtype: string
- name: locked
dtype: bool
- name: assignee
struct:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: site_admin
dtype: bool
- name: assignees
list:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: site_admin
dtype: bool
- name: milestone
dtype: 'null'
- name: comments
sequence: string
- name: created_at
dtype: timestamp[s]
- name: updated_at
dtype: timestamp[s]
- name: closed_at
dtype: timestamp[s]
- name: author_association
dtype: string
- name: active_lock_reason
dtype: 'null'
- name: body
dtype: string
- name: reactions
struct:
- name: url
dtype: string
- name: total_count
dtype: int64
- name: '+1'
dtype: int64
- name: '-1'
dtype: int64
- name: laugh
dtype: int64
- name: hooray
dtype: int64
- name: confused
dtype: int64
- name: heart
dtype: int64
- name: rocket
dtype: int64
- name: eyes
dtype: int64
- name: timeline_url
dtype: string
- name: performed_via_github_app
dtype: 'null'
- name: state_reason
dtype: string
- name: draft
dtype: bool
- name: pull_request
struct:
- name: url
dtype: string
- name: html_url
dtype: string
- name: diff_url
dtype: string
- name: patch_url
dtype: string
- name: merged_at
dtype: timestamp[s]
- name: is_pull_request
dtype: bool
splits:
- name: train
num_bytes: 3487619
num_examples: 200
download_size: 567669
dataset_size: 3487619
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
zhangxuedong/lora_weitiao | zhangxuedong | 2023-12-06T04:27:58Z | 5 | 0 | [
"license:unknown",
"region:us"
]
| null | 2023-12-06T04:25:44Z | ---
license: unknown
---
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|
Vigneshwari/browny | Vigneshwari | 2023-12-06T05:38:27Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-06T05:35:51Z | ---
pretty_name: browny
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|
carles-undergrad-thesis/en-id-parallel-sentences-embedding-vbert | carles-undergrad-thesis | 2023-12-06T12:53:23Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-06T12:50:04Z | ---
dataset_info:
features:
- name: text_en
dtype: string
- name: text_id
dtype: string
- name: target_embedding
sequence: float32
- name: input_ids_en
sequence: int64
- name: attention_mask_en
sequence: int64
- name: token_type_ids_en
sequence: int64
- name: input_ids_id
sequence: int64
- name: attention_mask_id
sequence: int64
- name: token_type_ids_id
sequence: int64
splits:
- name: train
num_bytes: 15780096944
num_examples: 1000000
download_size: 4104220800
dataset_size: 15780096944
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Ehraim/SequentialLearnerv3 | Ehraim | 2023-12-06T14:27:27Z | 5 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-06T14:26:47Z | ---
license: apache-2.0
---
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|
cungnlp/sample_datacung | cungnlp | 2023-12-06T17:25:22Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-06T15:09:30Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 2612
num_examples: 10
download_size: 3434
dataset_size: 2612
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Gbssreejith/set2 | Gbssreejith | 2023-12-07T08:53:36Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-07T08:53:27Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 128748955.0
num_examples: 456
- name: test
num_bytes: 15989354.0
num_examples: 57
- name: val
num_bytes: 16768130.0
num_examples: 58
download_size: 161393489
dataset_size: 161506439.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: val
path: data/val-*
---
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|
arigos/diversevul | arigos | 2023-12-07T14:18:27Z | 5 | 0 | [
"license:unknown",
"region:us"
]
| null | 2023-12-07T12:33:11Z | ---
license: unknown
dataset_info:
features:
- name: func
dtype: string
- name: target
dtype: int64
- name: cwe
sequence: string
- name: project
dtype: string
- name: commit_id
dtype: string
- name: hash
dtype: float64
- name: size
dtype: int64
- name: message
dtype: string
splits:
- name: train
num_bytes: 603840744.4099404
num_examples: 297442
- name: test
num_bytes: 33547610.295029834
num_examples: 16525
- name: valid
num_bytes: 33547610.295029834
num_examples: 16525
download_size: 308920787
dataset_size: 670935965.0000001
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
---
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|
sade-adrien/context_extension-mistral-natural_distribution-16k | sade-adrien | 2023-12-08T17:41:40Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-08T07:21:28Z | ---
dataset_info:
features:
- name: raw_content
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 6760321689
num_examples: 32000
download_size: 2955669157
dataset_size: 6760321689
---
# Dataset Card for "context_extension-mistral-natural_distribution-16k"
* 32k samples
* mistral token size 1 < x < 16400
* ~natural size distribution (lots of small, few long, 1/x-like)
* build with small (no filter) 1/3 + 2/3 of long (+16k), resize all +6k to (1<x<16_400)
* from redpajama-v2
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
vishnu027/marriage_type2_1951 | vishnu027 | 2023-12-08T07:35:05Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-08T07:34:08Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 589388492.0
num_examples: 568
- name: test
num_bytes: 132103045.0
num_examples: 128
- name: val
num_bytes: 15870358.0
num_examples: 15
download_size: 737242188
dataset_size: 737361895.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: val
path: data/val-*
---
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|
nhantruongcse/summary-vietnamese-news-token-TFtrain_vit5_large_vietnews | nhantruongcse | 2023-12-08T09:03:10Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-08T09:02:43Z | ---
dataset_info:
features:
- name: Content
dtype: string
- name: Summary
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 1113631502
num_examples: 148115
download_size: 493774460
dataset_size: 1113631502
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
nhantruongcse/summary-vietnamese-news-token-TFtest_vit5_large_vietnews | nhantruongcse | 2023-12-08T09:03:14Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-08T09:03:10Z | ---
dataset_info:
features:
- name: Content
dtype: string
- name: Summary
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 61956745
num_examples: 8229
download_size: 27478662
dataset_size: 61956745
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
nhantruongcse/summary-vietnamese-news-token-TFeval_vit5_large_vietnews | nhantruongcse | 2023-12-08T09:03:16Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-08T09:03:14Z | ---
dataset_info:
features:
- name: Content
dtype: string
- name: Summary
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 61526294
num_examples: 8229
download_size: 27275716
dataset_size: 61526294
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
ashishsr/emids_qna_json.json | ashishsr | 2023-12-08T13:09:13Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-08T12:08:55Z | ---
dataset_info:
features:
- name: Source
dtype: string
- name: Question
dtype: string
- name: Answer
dtype: string
splits:
- name: train
num_bytes: 121206
num_examples: 281
download_size: 0
dataset_size: 121206
---
# Dataset Card for "emids_qna_json.json"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
dhematillake/instructpix2pix-spatial | dhematillake | 2023-12-08T20:29:47Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-08T20:10:00Z | ---
dataset_info:
features:
- name: original_image
dtype: image
- name: edit_prompt
dtype: string
- name: transformed_image
dtype: image
splits:
- name: train
num_bytes: 9300429930.63
num_examples: 9447
download_size: 8998126312
dataset_size: 9300429930.63
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
tollefj/nor-mosaic-instruct | tollefj | 2023-12-08T21:20:09Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-08T21:03:10Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
- name: input
dtype: string
splits:
- name: train
num_bytes: 53789002
num_examples: 112171
- name: test
num_bytes: 2888814
num_examples: 6513
download_size: 35909861
dataset_size: 56677816
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
A concatenated instruction-based dataset from the following:
- NbAiLab/norwegian-alpaca
- RuterNorway/Fleurs-Alpaca-EN-NO
- RuterNorway/OpenOrcaNo-15k
- A machine translated (1.3B NLLB model) mosaicml/instruct-v3
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|
Ahmad-Sarmad-Ali/SHEAKESPEAR-QNA | Ahmad-Sarmad-Ali | 2023-12-09T11:33:11Z | 5 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-09T11:26:30Z | ---
license: mit
---
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|
yashraizada/yelp-open-dataset-top-reviews | yashraizada | 2023-12-11T00:39:35Z | 5 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-09T19:21:53Z | ---
license: apache-2.0
---
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|
novus677/nlp-xsum-train-large | novus677 | 2023-12-10T03:35:35Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-10T03:35:20Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 483083218
num_examples: 204045
download_size: 300188782
dataset_size: 483083218
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
RahulRaman/counting-object-sd-dataset3 | RahulRaman | 2023-12-10T04:49:24Z | 5 | 0 | [
"region:us"
]
| null | 2023-12-10T04:49:19Z | ---
dataset_info:
features:
- name: input_image
dtype: image
- name: edit_prompt
dtype: string
- name: edited_image
dtype: image
splits:
- name: train
num_bytes: 52997825.0
num_examples: 752
download_size: 2287292
dataset_size: 52997825.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jinya425/Keyphrase_extraction | jinya425 | 2023-12-10T19:27:39Z | 5 | 1 | [
"license:mit",
"region:us"
]
| null | 2023-12-10T18:51:45Z | ---
license: mit
---
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]
|
mesolitica/chatgpt-explain-sentiment | mesolitica | 2023-12-06T06:10:57Z | 4 | 0 | [
"language:ms",
"region:us"
]
| null | 2023-04-17T07:51:50Z | ---
language:
- ms
pretty_name: chatgpt-malay-explain-sentiment
---
# Explain Sentiment
Generated using ChatGPT3.5 on Malaysian tweets, notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/sentiment/chatgpt3.5-sentiment | [
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|
RunsenXu/PointLLM | RunsenXu | 2023-12-08T05:07:30Z | 4 | 5 | [
"license:odc-by",
"region:us"
]
| null | 2023-08-22T05:48:49Z | ---
license: odc-by
---
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|
Max5ive/tendergpt-training-dataset | Max5ive | 2023-12-06T12:10:27Z | 4 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-08-29T11:17:00Z | ---
license: apache-2.0
---
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|
euclaise/MegaCoT | euclaise | 2023-12-05T22:08:45Z | 4 | 0 | [
"region:us"
]
| null | 2023-09-24T23:15:50Z | ---
dataset_info:
features:
- name: rationale
dtype: string
- name: target
dtype: string
- name: source
dtype: string
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 182080150
num_examples: 609899
download_size: 84548651
dataset_size: 182080150
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for MegaCoT
Slightly more detailed (to allow for RL) and extended re-creation of Flan's CoT submix, excluding ecqa (which contains synthetic generations).
Extra datasets not in the original CoT collection:
- [ROPES](https://huggingface.co/datasets/ropes)
- [Entailmentbank](https://github.com/allenai/entailment_bank) (excluding task 2) - edited to include random unrelated context points in some examples
- [MATH](https://huggingface.co/datasets/competition_math) (up to level 2)
- [cos_e](https://huggingface.co/datasets/cos_e)
I reserve no rights to the dataset, but the original datasets were made available under various public licenses. Hence, consider each subset of this dataset to be licensed as the original dataset from where it comes was. | [
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|
jungtaekkim/datasets-nanophotonic-structures | jungtaekkim | 2023-12-06T22:48:49Z | 4 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-10-09T03:35:23Z | ---
license: mit
---
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]
|
Tngarg/Tamil_of | Tngarg | 2023-12-08T18:22:06Z | 4 | 0 | [
"region:us"
]
| null | 2023-10-16T11:20:28Z | ---
dataset_info:
features:
- name: tweet
dtype: string
- name: sentiment
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 665776
num_examples: 1932
download_size: 434262
dataset_size: 665776
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "french_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Birchlabs/openai-guided-diffusion-256-classcond-unguided-samples-50k | Birchlabs | 2023-12-09T22:03:14Z | 4 | 0 | [
"size_categories:10K<n<100K",
"license:apache-2.0",
"region:us"
]
| null | 2023-10-21T21:37:17Z | ---
license: apache-2.0
pretty_name: OpenAI guided-diffusion 256px class-conditional unguided samples (50k)
size_categories:
- 10K<n<100K
---
CleanFID:
```
FID: 18.9796, KID: 0.0145976
```
Then another measurement (torchmetrics FID and CleanFID simultaneously):
```
torchmetrics FID: 19.3133
CleanFID FID: 19.1283, KID: 0.0147355
```
Read from the webdataset (after saving it somewhere on your disk) like this:
```python
from webdataset import WebDataset
from typing import TypedDict, Iterable
from PIL import Image
from PIL.PngImagePlugin import PngImageFile
from io import BytesIO
from os import makedirs
Example = TypedDict('Example', {
'__key__': str,
'__url__': str,
'img.png': bytes,
})
dataset = WebDataset('./openai-guided-diffusion-256-classcond-unguided-samples-50k/{00000..00004}.tar')
out_root = 'out'
makedirs(out_root, exist_ok=True)
it: Iterable[Example] = iter(dataset)
for ix, item in enumerate(it):
with BytesIO(item['img.png']) as stream:
img: PngImageFile = Image.open(stream)
img.load()
img.save(f'{out_root}/{ix}.png')
```
Or from the HF dataset like this:
```python
from datasets import load_dataset
from datasets.dataset_dict import DatasetDict
from datasets.arrow_dataset import Dataset
from PIL.PngImagePlugin import PngImageFile
from typing import TypedDict, Iterable
from os import makedirs
class Item(TypedDict):
index: int
tar: str
tar_path: str
img: PngImageFile
dataset: DatasetDict = load_dataset('Birchlabs/openai-guided-diffusion-256-classcond-unguided-samples-50k')
train: Dataset = dataset['train']
out_root = 'out'
makedirs(out_root, exist_ok=True)
it: Iterable[Item] = iter(train)
for item in it:
item['img'].save(f'{out_root}/{item["index"]}.png')
``` | [
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|
mesolitica/chatgpt-kg-triplets | mesolitica | 2023-12-06T05:58:05Z | 4 | 0 | [
"language:ms",
"region:us"
]
| null | 2023-10-22T13:39:59Z | ---
language:
- ms
pretty_name: malay-kg-triplets
---
# Knowledge Graph Triplet format
Generated using ChatGPT3.5 on,
1. Astroawani news, https://github.com/mesolitica/malaysian-dataset/tree/master/knowledge-graph/chatgpt-astroawani
2. MS Wikipedia, https://github.com/mesolitica/malaysian-dataset/tree/master/knowledge-graph/chatgpt-wikipedia
Example of data,
```json
{'id': 221733,
'title': "Padah jalin hubungan sulit dengan pekerja sendiri, CEO McDonald's dipecat serta merta",
'description': 'CEO tidak boleh menjalin hubungan dengan mana-mana kakitangan.',
'body': ["SYARIKAT rantaian makanan segera terkemuka dunia, McDonald's Corp mengesahkan telah memecat Ketua Pegawai Eksekutif (CEO), Steve Easterbrook selepas menjalinkan hubungan sulit dengan salah seorang kakitangannya.",
"Menurut McDonald's dalam satu kenyataan, tindakan tersebut diambil berikutan Easterbrook, 52, didakwa melanggar polisi syarikat, yang tidak membenarkan CEO mempunyai hubungan dengan mana-mana kakitangan syarikat.",
"Susulan pemecatan tersebut, restoran terbesar dunia itu melantik bekas presiden McDonald's Amerika Syarikat (AS), Chris Kempczinski, sebagai CEO baharu berkuat kuasa serta-merta.",
'Sementara itu, Easterbrook menerusi emel kepada kakitangannya mengakui hubungan tersebut merupakan "satu kesilapan" yang bertentangan dengan dasar syarikat.',
'"Mengambil nilai syarikat ini, saya bersetuju untuk mengundurkan diri," demikian katanya.',
"Easterbrook pernah bercerai dan memulakan kerjaya dengan McDonald's pada tahun 1993 sebagai pengurus di London sebelum dinaikkan pangkat.",
"Beliau dilantik sebagai CEO McDonald's Corporation pada tahun 2015. -"],
'title_kg': {'triplets': [{'subject': 'Padah',
'predicate': 'memiliki',
'object': 'hubungan sulit'},
{'subject': 'hubungan sulit',
'predicate': 'dengan',
'object': 'pekerja sendiri'},
{'subject': 'Padah', 'predicate': 'dipecat', 'object': "CEO McDonald's"}]},
'description_kg': {'triplets': [{'subject': 'CEO',
'predicate': 'tidak boleh menjalin hubungan dengan',
'object': 'kakitangan'}]},
'body_kg': [["SYARIKAT rantaian makanan segera terkemuka dunia, McDonald's Corp mengesahkan telah memecat Ketua Pegawai Eksekutif (CEO), Steve Easterbrook selepas menjalinkan hubungan sulit dengan salah seorang kakitangannya.",
{'triplets': [{'subject': "McDonald's Corp",
'predicate': 'is a',
'object': "world's leading fast food chain company"},
{'subject': "McDonald's Corp",
'predicate': 'confirmed',
'object': 'firing CEO Steve Easterbrook'},
{'subject': 'Steve Easterbrook',
'predicate': 'had',
'object': 'an inappropriate relationship with an employee'}]}],
["Menurut McDonald's dalam satu kenyataan, tindakan tersebut diambil berikutan Easterbrook, 52, didakwa melanggar polisi syarikat, yang tidak membenarkan CEO mempunyai hubungan dengan mana-mana kakitangan syarikat.",
{'triplets': [{'subject': "McDonald's",
'predicate': 'statement',
'object': 'Tindakan diambil berikutan Easterbrook didakwa melanggar polisi syarikat yang tidak membenarkan CEO mempunyai hubungan dengan mana-mana kakitangan syarikat.'}]}],
["Susulan pemecatan tersebut, restoran terbesar dunia itu melantik bekas presiden McDonald's Amerika Syarikat (AS), Chris Kempczinski, sebagai CEO baharu berkuat kuasa serta-merta.",
{'triplets': [{'subject': 'restoran terbesar dunia',
'predicate': 'melantik',
'object': 'Chris Kempczinski'},
{'subject': 'restoran terbesar dunia',
'predicate': 'sebagai',
'object': 'CEO'},
{'subject': 'restoran terbesar dunia',
'predicate': 'berkuat kuasa',
'object': 'serta-merta'}]}],
['Sementara itu, Easterbrook menerusi emel kepada kakitangannya mengakui hubungan tersebut merupakan "satu kesilapan" yang bertentangan dengan dasar syarikat.',
{'triplets': [{'subject': 'Easterbrook',
'predicate': 'admits',
'object': 'relationship'},
{'subject': 'relationship', 'predicate': 'is', 'object': 'mistake'},
{'subject': 'relationship',
'predicate': 'contradicts',
'object': 'company policy'}]}],
['"Mengambil nilai syarikat ini, saya bersetuju untuk mengundurkan diri," demikian katanya.',
{'triplets': [{'subject': 'saya',
'predicate': 'mengambil',
'object': 'nilai syarikat ini'},
{'subject': 'saya',
'predicate': 'bersetuju',
'object': 'mengundurkan diri'}]}],
["Easterbrook pernah bercerai dan memulakan kerjaya dengan McDonald's pada tahun 1993 sebagai pengurus di London sebelum dinaikkan pangkat.",
{'triplets': [{'subject': 'Easterbrook',
'predicate': 'bercerai',
'object': 'true'},
{'subject': 'Easterbrook',
'predicate': 'memulakan kerjaya',
'object': "McDonald's"},
{'subject': 'Easterbrook', 'predicate': 'tahun', 'object': '1993'},
{'subject': 'Easterbrook', 'predicate': 'pengurus', 'object': 'London'},
{'subject': 'Easterbrook',
'predicate': 'dinaikkan pangkat',
'object': 'true'}]}],
["Beliau dilantik sebagai CEO McDonald's Corporation pada tahun 2015. -",
{'triplets': [{'subject': 'Beliau',
'predicate': 'dilantik sebagai',
'object': "CEO McDonald's Corporation"},
{'subject': 'Beliau', 'predicate': 'pada tahun', 'object': '2015'}]}]],
'title_kg_ms': [{'head': 'Padah',
'type': 'mempunyai',
'tail': 'hubungan sulit'},
{'head': 'hubungan sulit', 'type': 'dengan', 'tail': 'pekerja sendiri'},
{'head': 'Padah', 'type': 'dipecat', 'tail': "CEO McDonald's"}],
'description_kg_ms': [{'head': 'CEO',
'type': 'tidak boleh menjalin hubungan dengan',
'tail': 'kakitangan'}],
'body_kg_ms': [["SYARIKAT rantaian makanan segera terkemuka dunia, McDonald's Corp mengesahkan telah memecat Ketua Pegawai Eksekutif (CEO), Steve Easterbrook selepas menjalinkan hubungan sulit dengan salah seorang kakitangannya.",
[{'head': '',
'type': 'mengesahkan',
'tail': 'yang telah memecat Steve Easterbrook'},
{'head': 'Steve Easterbrook',
'type': 'telah',
'tail': 'hubungan yang tidak sesuai dengan pekerja'}]],
["Menurut McDonald's dalam satu kenyataan, tindakan tersebut diambil berikutan Easterbrook, 52, didakwa melanggar polisi syarikat, yang tidak membenarkan CEO mempunyai hubungan dengan mana-mana kakitangan syarikat.",
[]],
["Susulan pemecatan tersebut, restoran terbesar dunia itu melantik bekas presiden McDonald's Amerika Syarikat (AS), Chris Kempczinski, sebagai CEO baharu berkuat kuasa serta-merta.",
[{'head': '', 'type': 'melantik', 'tail': 'Chris Kempczinski'},
{'head': '', 'type': 'sebagai', 'tail': 'CEO'}]],
['Sementara itu, Easterbrook menerusi emel kepada kakitangannya mengakui hubungan tersebut merupakan "satu kesilapan" yang bertentangan dengan dasar syarikat.',
[{'head': 'Easterbrook', 'type': 'mengakui', 'tail': 'hubungan'},
{'head': 'hubungan', 'type': 'ialah', 'tail': 'kesilapan'},
{'head': 'hubungan', 'type': 'bercanggah', 'tail': 'dasar syarikat'}]],
['"Mengambil nilai syarikat ini, saya bersetuju untuk mengundurkan diri," demikian katanya.',
[{'head': 'Saya', 'type': 'mengambil', 'tail': 'nilai syarikat ini'},
{'head': 'Saya', 'type': 'bersetuju', 'tail': 'meletak jawatan'}]],
["Easterbrook pernah bercerai dan memulakan kerjaya dengan McDonald's pada tahun 1993 sebagai pengurus di London sebelum dinaikkan pangkat.",
[{'head': 'Easterbrook', 'type': 'bercerai', 'tail': 'benar'},
{'head': 'Easterbrook', 'type': 'memulakan kerjaya', 'tail': "McDonald's"},
{'head': 'Easterbrook', 'type': 'tahun', 'tail': '1993'},
{'head': 'Easterbrook', 'type': 'pengurus', 'tail': 'London'},
{'head': 'Easterbrook', 'type': 'dinaikkan pangkat', 'tail': 'benar'}]],
["Beliau dilantik sebagai CEO McDonald's Corporation pada tahun 2015. -",
[{'head': "Beliau adalah CEO McDonald's Corporation",
'type': 'pada tahun',
'tail': '2015'}]]]}
``` | [
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StephanAkkerman/financial-tweets-other | StephanAkkerman | 2023-12-07T15:33:45Z | 4 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-11-15T20:10:00Z | ---
license: mit
---
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|
mesolitica/chatgpt4-kertas1 | mesolitica | 2023-12-06T06:04:38Z | 4 | 0 | [
"language:ms",
"region:us"
]
| null | 2023-11-21T06:36:57Z | ---
language:
- ms
pretty_name: chatgpt4-malay-kertas1
---
# Synthetic Kertas 1
Generated using ChatGPT4, originally from,
1. https://huggingface.co/datasets/aisyahhrazak/crawl-soalan
2. https://raw.githubusercontent.com/mesolitica/malaysian-dataset/master/llm-benchmark/tatabahasabm.tripod.com/quiz-tatabahasa.jsonl
3. https://raw.githubusercontent.com/mesolitica/malaysian-dataset/master/llm-benchmark/tatabahasabm.tripod.com-bm-kertas-1/tatabahasabm.tripod.com-bm-kertas1.json
Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/question-answer/chatgpt4-synthetic-kertas1 | [
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|
nxsbr/will | nxsbr | 2023-12-05T14:38:24Z | 4 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-11-24T17:45:55Z | ---
license: openrail
---
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|
IndependentAI/Cartman_AI | IndependentAI | 2023-12-07T13:18:55Z | 4 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-11-25T13:51:18Z | ---
license: mit
---
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|
Zainab984/BP | Zainab984 | 2023-12-06T04:40:59Z | 4 | 0 | [
"region:us"
]
| null | 2023-11-27T06:05:35Z | ---
dataset_info:
features:
- name: Target
dtype: int64
- name: PC
dtype: string
- name: GSHARE
dtype: string
- name: GA table
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 162560000
num_examples: 320000
- name: test
num_bytes: 40640000
num_examples: 80000
download_size: 11803332
dataset_size: 203200000
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
b3x0m/Chinese-H-Novels | b3x0m | 2023-12-08T10:32:08Z | 4 | 6 | [
"task_categories:text-classification",
"task_categories:summarization",
"task_categories:token-classification",
"task_categories:text2text-generation",
"size_categories:10B<n<100B",
"language:zh",
"not-for-all-audiences",
"art",
"region:us"
]
| [
"text-classification",
"summarization",
"token-classification",
"text2text-generation"
]
| 2023-11-27T17:19:10Z | ---
task_categories:
- text-classification
- summarization
- token-classification
- text2text-generation
language:
- zh
tags:
- not-for-all-audiences
- art
pretty_name: H-novel-corpus
size_categories:
- 10B<n<100B
---
Chinese 18+ novels corpus, use at your own risk, you and only you are responsible for every choice you make.
tags: socks, garter belt, foot fetish, ntr, netori..... | [
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|
sankovic/joaopaulogkdatasettt | sankovic | 2023-12-05T05:08:45Z | 4 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-02T03:27:21Z | ---
license: openrail
---
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|
jahb57/gpt2_embeddings_BATCH_2 | jahb57 | 2023-12-08T13:43:04Z | 4 | 0 | [
"region:us"
]
| null | 2023-12-03T22:18:54Z | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: last_hidden_state
sequence:
sequence: float32
splits:
- name: train
num_bytes: 18496402444
num_examples: 100000
download_size: 18543298421
dataset_size: 18496402444
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
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