parquet-converter
commited on
Commit
•
6ff197d
1
Parent(s):
7e22c8f
Update parquet files
Browse files- .gitattributes +0 -52
- vacancies.csv → Kirili4ik--yandex_jobs/csv-train.parquet +2 -2
- README.md +0 -135
.gitattributes
DELETED
@@ -1,52 +0,0 @@
|
|
1 |
-
*.7z filter=lfs diff=lfs merge=lfs -text
|
2 |
-
*.arrow filter=lfs diff=lfs merge=lfs -text
|
3 |
-
*.bin filter=lfs diff=lfs merge=lfs -text
|
4 |
-
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
5 |
-
*.ftz filter=lfs diff=lfs merge=lfs -text
|
6 |
-
*.gz filter=lfs diff=lfs merge=lfs -text
|
7 |
-
*.h5 filter=lfs diff=lfs merge=lfs -text
|
8 |
-
*.joblib filter=lfs diff=lfs merge=lfs -text
|
9 |
-
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
10 |
-
*.lz4 filter=lfs diff=lfs merge=lfs -text
|
11 |
-
*.model filter=lfs diff=lfs merge=lfs -text
|
12 |
-
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
13 |
-
*.npy filter=lfs diff=lfs merge=lfs -text
|
14 |
-
*.npz filter=lfs diff=lfs merge=lfs -text
|
15 |
-
*.onnx filter=lfs diff=lfs merge=lfs -text
|
16 |
-
*.ot filter=lfs diff=lfs merge=lfs -text
|
17 |
-
*.parquet filter=lfs diff=lfs merge=lfs -text
|
18 |
-
*.pb filter=lfs diff=lfs merge=lfs -text
|
19 |
-
*.pickle filter=lfs diff=lfs merge=lfs -text
|
20 |
-
*.pkl filter=lfs diff=lfs merge=lfs -text
|
21 |
-
*.pt filter=lfs diff=lfs merge=lfs -text
|
22 |
-
*.pth filter=lfs diff=lfs merge=lfs -text
|
23 |
-
*.rar filter=lfs diff=lfs merge=lfs -text
|
24 |
-
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
25 |
-
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
26 |
-
*.tflite filter=lfs diff=lfs merge=lfs -text
|
27 |
-
*.tgz filter=lfs diff=lfs merge=lfs -text
|
28 |
-
*.wasm filter=lfs diff=lfs merge=lfs -text
|
29 |
-
*.xz filter=lfs diff=lfs merge=lfs -text
|
30 |
-
*.zip filter=lfs diff=lfs merge=lfs -text
|
31 |
-
*.zst filter=lfs diff=lfs merge=lfs -text
|
32 |
-
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
33 |
-
# Audio files - uncompressed
|
34 |
-
*.pcm filter=lfs diff=lfs merge=lfs -text
|
35 |
-
*.sam filter=lfs diff=lfs merge=lfs -text
|
36 |
-
*.raw filter=lfs diff=lfs merge=lfs -text
|
37 |
-
# Audio files - compressed
|
38 |
-
*.aac filter=lfs diff=lfs merge=lfs -text
|
39 |
-
*.flac filter=lfs diff=lfs merge=lfs -text
|
40 |
-
*.mp3 filter=lfs diff=lfs merge=lfs -text
|
41 |
-
*.ogg filter=lfs diff=lfs merge=lfs -text
|
42 |
-
*.wav filter=lfs diff=lfs merge=lfs -text
|
43 |
-
# Image files - uncompressed
|
44 |
-
*.bmp filter=lfs diff=lfs merge=lfs -text
|
45 |
-
*.gif filter=lfs diff=lfs merge=lfs -text
|
46 |
-
*.png filter=lfs diff=lfs merge=lfs -text
|
47 |
-
*.tiff filter=lfs diff=lfs merge=lfs -text
|
48 |
-
# Image files - compressed
|
49 |
-
*.jpg filter=lfs diff=lfs merge=lfs -text
|
50 |
-
*.jpeg filter=lfs diff=lfs merge=lfs -text
|
51 |
-
*.webp filter=lfs diff=lfs merge=lfs -text
|
52 |
-
*.csv filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
vacancies.csv → Kirili4ik--yandex_jobs/csv-train.parquet
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:71c6015c80313a7e5c25e8acd1e371fd28bd654bd451c0d9dcd60cd6e17b8029
|
3 |
+
size 872638
|
README.md
DELETED
@@ -1,135 +0,0 @@
|
|
1 |
-
---
|
2 |
-
annotations_creators:
|
3 |
-
- expert-generated
|
4 |
-
language:
|
5 |
-
- ru
|
6 |
-
language_creators:
|
7 |
-
- found
|
8 |
-
license:
|
9 |
-
- unknown
|
10 |
-
multilinguality:
|
11 |
-
- monolingual
|
12 |
-
paperswithcode_id: climate-fever
|
13 |
-
pretty_name: yandex_jobs
|
14 |
-
size_categories:
|
15 |
-
- n<1K
|
16 |
-
source_datasets:
|
17 |
-
- original
|
18 |
-
tags:
|
19 |
-
- vacancies
|
20 |
-
- jobs
|
21 |
-
- ru
|
22 |
-
- yandex
|
23 |
-
task_categories:
|
24 |
-
- text-generation
|
25 |
-
- summarization
|
26 |
-
- multiple-choice
|
27 |
-
task_ids:
|
28 |
-
- language-modeling
|
29 |
-
---
|
30 |
-
|
31 |
-
# Dataset Card for Yandex_Jobs
|
32 |
-
|
33 |
-
## Table of Contents
|
34 |
-
- [Dataset Description](#dataset-description)
|
35 |
-
- [Dataset Summary](#dataset-summary)
|
36 |
-
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
37 |
-
- [Languages](#languages)
|
38 |
-
- [Dataset Structure](#dataset-structure)
|
39 |
-
- [Data Instances](#data-instances)
|
40 |
-
- [Data Fields](#data-fields)
|
41 |
-
- [Data Splits](#data-splits)
|
42 |
-
- [Dataset Creation](#dataset-creation)
|
43 |
-
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
44 |
-
- [Contributions](#contributions)
|
45 |
-
|
46 |
-
## Dataset Description
|
47 |
-
|
48 |
-
### Dataset Summary
|
49 |
-
|
50 |
-
This is a dataset of more than 600 IT vacancies in Russian from parsing telegram channel https://t.me/ya_jobs. All the texts are perfectly structured, no missing values.
|
51 |
-
|
52 |
-
### Supported Tasks and Leaderboards
|
53 |
-
|
54 |
-
`text-generation` with the 'Raw text column'.
|
55 |
-
|
56 |
-
`summarization` as for getting from all the info the header.
|
57 |
-
|
58 |
-
`multiple-choice` as for the hashtags (to choose multiple from all available in the dataset)
|
59 |
-
|
60 |
-
### Languages
|
61 |
-
|
62 |
-
The text in the dataset is in only in Russian. The associated BCP-47 code is `ru`.
|
63 |
-
## Dataset Structure
|
64 |
-
|
65 |
-
### Data Instances
|
66 |
-
|
67 |
-
The data is parsed from a vacancy of Russian IT company [Yandex](https://ya.ru/).
|
68 |
-
|
69 |
-
An example from the set looks as follows:
|
70 |
-
```
|
71 |
-
{'Header': 'Разработчик интерфейсов в группу разработки спецпроектов',
|
72 |
-
'Emoji': '🎳',
|
73 |
-
'Description': 'Конструктор лендингов — это инструмент Яндекса, который позволяет пользователям создавать лендинги и турбо-лендинги для Яндекс.Директа. Турбо — режим ускоренной загрузки страниц для показа на мобильных. У нас современный стек, смелые планы и высокая динамика.\nМы ищем опытного и открытого новому фронтенд-разработчика.',
|
74 |
-
'Requirements': '• отлично знаете JavaScript
|
75 |
-
• разрабатывали на Node.js, применяли фреймворк Express
|
76 |
-
• умеете создавать веб-приложения на React + Redux
|
77 |
-
• знаете HTML и CSS, особенности их отображения в браузерах',
|
78 |
-
'Tasks': '• разрабатывать интерфейсы',
|
79 |
-
'Pluses': '• писали интеграционные, модульные, функциональные или браузерные тесты
|
80 |
-
• умеете разворачивать и администрировать веб-сервисы: собирать Docker-образы, настраивать мониторинги, выкладывать в облачные системы, отлаживать в продакшене
|
81 |
-
• работали с реляционными БД PostgreSQL',
|
82 |
-
'Hashtags': '#фронтенд #турбо #JS',
|
83 |
-
'Link': 'https://ya.cc/t/t7E3UsmVSKs6L',
|
84 |
-
'Raw text': 'Разработчик интерфейсов в группу разработки спецпроектов🎳
|
85 |
-
|
86 |
-
Конструктор лендингов — это инструмент Яндекса, который позволяет пользователям создавать лендинги и турбо-лендинги для Яндекс.Директа. Турбо — режим ускоренной загрузки страниц для показа на мобильных. У нас современный стек, смелые планы и высокая динамика.
|
87 |
-
Мы ищем опытного и открытого новому фронтенд-разработчика.
|
88 |
-
|
89 |
-
Мы ждем, что вы:
|
90 |
-
• отлично знаете JavaScript
|
91 |
-
• разрабатывали на Node.js, применяли фреймворк Express
|
92 |
-
• умеете создавать веб-приложения на React + Redux
|
93 |
-
• знаете HTML и CSS, особенности их отображения в браузерах
|
94 |
-
|
95 |
-
Что нужно делать:
|
96 |
-
• разрабатывать интерфейсы
|
97 |
-
|
98 |
-
Будет плюсом, если вы:
|
99 |
-
• писали интеграционные, модульные, функциональные или браузерные тесты
|
100 |
-
• умеете разворачивать и администрировать веб-сервисы: собирать Docker-образы, настраивать мониторинги, выкладывать в облачные системы, отлаживать в продакшене
|
101 |
-
• работали с реляционными БД PostgreSQL
|
102 |
-
|
103 |
-
https://ya.cc/t/t7E3UsmVSKs6L
|
104 |
-
|
105 |
-
#фронтенд #турбо #JS'
|
106 |
-
}
|
107 |
-
```
|
108 |
-
|
109 |
-
### Data Fields
|
110 |
-
|
111 |
-
- `Header`: A string with a position title (str)
|
112 |
-
- `Emoji`: Emoji that is used at the end of the title position (usually asosiated with the position) (str)
|
113 |
-
- `Description`: Short description of the vacancy (str)
|
114 |
-
- `Requirements`: A couple of required technologies/programming languages/experience (str)
|
115 |
-
- `Tasks`: Examples of the tasks of the job position (str)
|
116 |
-
- `Pluses`: A couple of great points for the applicant to have (technologies/experience/etc)
|
117 |
-
- `Hashtags`: A list of hashtags assosiated with the job (usually programming languages) (str)
|
118 |
-
- `Link`: A link to a job description (there may be more information, but it is not checked) (str)
|
119 |
-
- `Raw text`: Raw text with all the formatiing from the channel. Created with other fields. (str)
|
120 |
-
|
121 |
-
### Data Splits
|
122 |
-
|
123 |
-
There is not enough examples yet to split it to train/test/val in my opinion.
|
124 |
-
|
125 |
-
## Dataset Creation
|
126 |
-
|
127 |
-
It downloaded and parsed from telegram channel https://t.me/ya_jobs 03.09.2022. All the unparsed examples and the ones missing any field are deleted (from 1600 vacancies to only 600 without any missing fields like emojis or links)
|
128 |
-
|
129 |
-
## Considerations for Using the Data
|
130 |
-
|
131 |
-
These vacancies are for only one IT company (yandex). This means they can be pretty specific and probably can not be generalized as any vacancies or even any IT vacancies.
|
132 |
-
|
133 |
-
## Contributions
|
134 |
-
|
135 |
-
- **Point of Contact and Author:** [Kirill Gelvan](telegram: @kirili4ik)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|