Datasets:
Update README.md
Browse files# Dataset Card for "HeQ_v1"
## Summary
HeQ is a question answering dataset in Modern Hebrew, consisting of 30,147 questions. It follows the format and crowdsourcing methodology of SQuAD (Stanford Question Answering Dataset) and the original ParaShoot. The dataset includes paragraphs sourced from Hebrew Wikipedia and Geektime, an online Israeli news channel specializing in technology.
## Question Features
Two types of questions were collected:
1. Answerable questions (21,784): Questions for which the answer is present in the paragraph.
2. Unanswerable questions (8,363): Questions related to the paragraph's content, where the paragraph provides a plausible answer, but the answer is not explicitly included.
## Dataset Information
- **Configurations:**
- **default:**
- **train:** `data/train-*`
- **test:** `data/test-*`
- **validation:** `data/validation-*`
- **Features:**
- **ID:** `string`
- **Title:** `string`
- **Source:** `string`
- **Context:** `string`
- **Question:** `string`
- **Answers:** `string` (Note: Consider representing answers as a complex structure, e.g., a dictionary)
- **Is_Impossible:** `bool`
- **WH_Question:** `string`
- **Question_Quality:** `string`
- **Splits:**
- **train:** 27,142 examples, 39,986,349 bytes
- **test:** 1,504 examples, 2,222,603 bytes
- **validation:** 1,501 examples, 2,267,582 bytes
- **Size Categories:** 1K < n < 10K
- **Download Size:** 20,887,154 bytes
- **Dataset Size:** 44,476,534 bytes
- **License:** cc-by-4.0
- **Task Categories:**
- **question-answering**
- **Language:** Hebrew (he)
- **Pretty Name:** Hebrew Question Answering Dataset
[More details and full README on GitHub](https://github.com/NNLP-IL/Hebrew-Question-Answering-Dataset)
## Contributions
Contributions and additional information are welcome. Please refer to the [contribution guidelines](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards).
@@ -1,46 +1,43 @@
|
|
1 |
-
---
|
2 |
-
configs:
|
3 |
-
- config_name: default
|
4 |
-
data_files:
|
5 |
-
- split: train
|
6 |
-
path: data/train-*
|
7 |
-
- split: test
|
8 |
-
path: data/test-*
|
9 |
-
- split: validation
|
10 |
-
path: data/validation-*
|
11 |
-
dataset_info:
|
12 |
-
features:
|
13 |
-
- name: ID
|
14 |
-
dtype: string
|
15 |
-
- name: Title
|
16 |
-
dtype: string
|
17 |
-
- name: Source
|
18 |
-
dtype: string
|
19 |
-
- name: Context
|
20 |
-
dtype: string
|
21 |
-
- name: Question
|
22 |
-
dtype: string
|
23 |
-
- name: Answers
|
24 |
-
dtype: string
|
25 |
-
- name: Is_Impossible
|
26 |
-
dtype: bool
|
27 |
-
- name: WH_Question
|
28 |
-
dtype: string
|
29 |
-
- name: Question_Quality
|
30 |
-
dtype: string
|
31 |
-
splits:
|
32 |
-
- name: train
|
33 |
-
num_bytes: 39986349.0
|
34 |
-
num_examples: 27142
|
35 |
-
- name: test
|
36 |
-
num_bytes: 2222603.0
|
37 |
-
num_examples: 1504
|
38 |
-
- name: validation
|
39 |
-
num_bytes: 2267582.0
|
40 |
-
num_examples: 1501
|
41 |
-
download_size: 20887154
|
42 |
-
dataset_size: 44476534.0
|
43 |
-
---
|
44 |
# Dataset Card for "HeQ_v1"
|
45 |
|
46 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
# Dataset Card for "HeQ_v1"
|
2 |
|
3 |
+
## Summary
|
4 |
+
HeQ is a question answering dataset in Modern Hebrew, consisting of 30,147 questions. It follows the format and crowdsourcing methodology of SQuAD (Stanford Question Answering Dataset) and the original ParaShoot. The dataset includes paragraphs sourced from Hebrew Wikipedia and Geektime, an online Israeli news channel specializing in technology.
|
5 |
+
|
6 |
+
## Question Features
|
7 |
+
Two types of questions were collected:
|
8 |
+
1. Answerable questions (21,784): Questions for which the answer is present in the paragraph.
|
9 |
+
2. Unanswerable questions (8,363): Questions related to the paragraph's content, where the paragraph provides a plausible answer, but the answer is not explicitly included.
|
10 |
+
|
11 |
+
## Dataset Information
|
12 |
+
- **Configurations:**
|
13 |
+
- **default:**
|
14 |
+
- **train:** `data/train-*`
|
15 |
+
- **test:** `data/test-*`
|
16 |
+
- **validation:** `data/validation-*`
|
17 |
+
- **Features:**
|
18 |
+
- **ID:** `string`
|
19 |
+
- **Title:** `string`
|
20 |
+
- **Source:** `string`
|
21 |
+
- **Context:** `string`
|
22 |
+
- **Question:** `string`
|
23 |
+
- **Answers:** `string` (Note: Consider representing answers as a complex structure, e.g., a dictionary)
|
24 |
+
- **Is_Impossible:** `bool`
|
25 |
+
- **WH_Question:** `string`
|
26 |
+
- **Question_Quality:** `string`
|
27 |
+
- **Splits:**
|
28 |
+
- **train:** 27,142 examples, 39,986,349 bytes
|
29 |
+
- **test:** 1,504 examples, 2,222,603 bytes
|
30 |
+
- **validation:** 1,501 examples, 2,267,582 bytes
|
31 |
+
- **Size Categories:** 1K < n < 10K
|
32 |
+
- **Download Size:** 20,887,154 bytes
|
33 |
+
- **Dataset Size:** 44,476,534 bytes
|
34 |
+
- **License:** cc-by-4.0
|
35 |
+
- **Task Categories:**
|
36 |
+
- **question-answering**
|
37 |
+
- **Language:** Hebrew (he)
|
38 |
+
- **Pretty Name:** Hebrew Question Answering Dataset
|
39 |
+
|
40 |
+
[More details and full README on GitHub](https://github.com/NNLP-IL/Hebrew-Question-Answering-Dataset)
|
41 |
+
|
42 |
+
## Contributions
|
43 |
+
Contributions and additional information are welcome. Please refer to the [contribution guidelines](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards).
|