Update files from the datasets library (from 1.12.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.12.0
- README.md +44 -23
- dataset_infos.json +1 -1
- totto.py +1 -1
README.md
CHANGED
@@ -18,9 +18,10 @@ task_categories:
|
|
18 |
task_ids:
|
19 |
- table-to-text
|
20 |
paperswithcode_id: totto
|
|
|
21 |
---
|
22 |
|
23 |
-
# Dataset Card
|
24 |
|
25 |
## Table of Contents
|
26 |
- [Dataset Description](#dataset-description)
|
@@ -56,7 +57,8 @@ paperswithcode_id: totto
|
|
56 |
|
57 |
### Dataset Summary
|
58 |
|
59 |
-
|
|
|
60 |
|
61 |
### Supported Tasks and Leaderboards
|
62 |
|
@@ -70,25 +72,6 @@ paperswithcode_id: totto
|
|
70 |
|
71 |
### Data Instances
|
72 |
|
73 |
-
```
|
74 |
-
DatasetDict({
|
75 |
-
train: Dataset({
|
76 |
-
features: ['id', 'table_page_title', 'table_webpage_url', 'table_section_title', 'table_section_text', 'table', 'highlighted_cells', 'example_id', 'sentence_annotations', 'overlap_subset'],
|
77 |
-
num_rows: 120761
|
78 |
-
})
|
79 |
-
validation: Dataset({
|
80 |
-
features: ['id', 'table_page_title', 'table_webpage_url', 'table_section_title', 'table_section_text', 'table', 'highlighted_cells', 'example_id', 'sentence_annotations', 'overlap_subset'],
|
81 |
-
num_rows: 7700
|
82 |
-
})
|
83 |
-
test: Dataset({
|
84 |
-
features: ['id', 'table_page_title', 'table_webpage_url', 'table_section_title', 'table_section_text', 'table', 'highlighted_cells', 'example_id', 'sentence_annotations', 'overlap_subset'],
|
85 |
-
num_rows: 7700
|
86 |
-
})
|
87 |
-
})
|
88 |
-
```
|
89 |
-
|
90 |
-
### Data Fields
|
91 |
-
|
92 |
A sample training set is provided below
|
93 |
|
94 |
```
|
@@ -385,9 +368,40 @@ A sample training set is provided below
|
|
385 |
|
386 |
Please note that in test set sentence annotations are not available and thus values inside `sentence_annotations` can be safely ignored.
|
387 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
388 |
### Data Splits
|
389 |
|
390 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
391 |
## Dataset Creation
|
392 |
|
393 |
### Curation Rationale
|
@@ -448,7 +462,14 @@ Please note that in test set sentence annotations are not available and thus val
|
|
448 |
|
449 |
### Citation Information
|
450 |
|
451 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
452 |
|
453 |
### Contributions
|
454 |
|
|
|
18 |
task_ids:
|
19 |
- table-to-text
|
20 |
paperswithcode_id: totto
|
21 |
+
pretty_name: ToTTo
|
22 |
---
|
23 |
|
24 |
+
# Dataset Card for ToTTo
|
25 |
|
26 |
## Table of Contents
|
27 |
- [Dataset Description](#dataset-description)
|
|
|
57 |
|
58 |
### Dataset Summary
|
59 |
|
60 |
+
ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled
|
61 |
+
generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.
|
62 |
|
63 |
### Supported Tasks and Leaderboards
|
64 |
|
|
|
72 |
|
73 |
### Data Instances
|
74 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
75 |
A sample training set is provided below
|
76 |
|
77 |
```
|
|
|
368 |
|
369 |
Please note that in test set sentence annotations are not available and thus values inside `sentence_annotations` can be safely ignored.
|
370 |
|
371 |
+
### Data Fields
|
372 |
+
|
373 |
+
- `table_webpage_url` (`str`): Table webpage URL.
|
374 |
+
- `table_page_title` (`str`): Table metadata with context about the table.
|
375 |
+
- `table_section_title` (`str`): Table metadata with context about the table.
|
376 |
+
- `table_section_text` (`str`): Table metadata with context about the table.
|
377 |
+
- `table` (`List[List[Dict]]`): The outer lists represents rows and the inner lists columns. Each Dict has the fields:
|
378 |
+
- `column_span` (`int`)
|
379 |
+
- `is_header` (`bool`)
|
380 |
+
- `row_span` (`int`)
|
381 |
+
- `value` (`str`)
|
382 |
+
- `highlighted_cells` (`List[[row_index, column_index]]`): Where each `[row_index, column_index]` pair indicates that `table[row_index][column_index]` is highlighted.
|
383 |
+
- `example_id` (`int`): A unique id for this example.
|
384 |
+
- `sentence_annotations`: Consists of the `original_sentence` and the sequence of revised sentences performed in order to produce the `final_sentence`.
|
385 |
+
|
386 |
### Data Splits
|
387 |
|
388 |
+
```
|
389 |
+
DatasetDict({
|
390 |
+
train: Dataset({
|
391 |
+
features: ['id', 'table_page_title', 'table_webpage_url', 'table_section_title', 'table_section_text', 'table', 'highlighted_cells', 'example_id', 'sentence_annotations', 'overlap_subset'],
|
392 |
+
num_rows: 120761
|
393 |
+
})
|
394 |
+
validation: Dataset({
|
395 |
+
features: ['id', 'table_page_title', 'table_webpage_url', 'table_section_title', 'table_section_text', 'table', 'highlighted_cells', 'example_id', 'sentence_annotations', 'overlap_subset'],
|
396 |
+
num_rows: 7700
|
397 |
+
})
|
398 |
+
test: Dataset({
|
399 |
+
features: ['id', 'table_page_title', 'table_webpage_url', 'table_section_title', 'table_section_text', 'table', 'highlighted_cells', 'example_id', 'sentence_annotations', 'overlap_subset'],
|
400 |
+
num_rows: 7700
|
401 |
+
})
|
402 |
+
})
|
403 |
+
```
|
404 |
+
|
405 |
## Dataset Creation
|
406 |
|
407 |
### Curation Rationale
|
|
|
462 |
|
463 |
### Citation Information
|
464 |
|
465 |
+
```
|
466 |
+
@inproceedings{parikh2020totto,
|
467 |
+
title={{ToTTo}: A Controlled Table-To-Text Generation Dataset},
|
468 |
+
author={Parikh, Ankur P and Wang, Xuezhi and Gehrmann, Sebastian and Faruqui, Manaal and Dhingra, Bhuwan and Yang, Diyi and Das, Dipanjan},
|
469 |
+
booktitle={Proceedings of EMNLP},
|
470 |
+
year={2020}
|
471 |
+
}
|
472 |
+
```
|
473 |
|
474 |
### Contributions
|
475 |
|
dataset_infos.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"default": {"description": "ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.\n", "citation": "@inproceedings{parikh2020totto,\n title={{ToTTo}: A Controlled Table-To-Text Generation Dataset},\n author={Parikh, Ankur P and Wang, Xuezhi and Gehrmann, Sebastian and Faruqui, Manaal and Dhingra, Bhuwan and Yang, Diyi and Das, Dipanjan},\n booktitle={Proceedings of EMNLP},\n year={2020}\n }\n", "homepage": "", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "table_page_title": {"dtype": "string", "id": null, "_type": "Value"}, "table_webpage_url": {"dtype": "string", "id": null, "_type": "Value"}, "table_section_title": {"dtype": "string", "id": null, "_type": "Value"}, "table_section_text": {"dtype": "string", "id": null, "_type": "Value"}, "table": [[{"column_span": {"dtype": "int32", "id": null, "_type": "Value"}, "is_header": {"dtype": "bool", "id": null, "_type": "Value"}, "row_span": {"dtype": "int32", "id": null, "_type": "Value"}, "value": {"dtype": "string", "id": null, "_type": "Value"}}]], "highlighted_cells": {"feature": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "example_id": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_annotations": {"feature": {"original_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_after_deletion": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_after_ambiguity": {"dtype": "string", "id": null, "_type": "Value"}, "final_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "overlap_subset": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "totto", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 652754806, "num_examples": 120761, "dataset_name": "totto"}, "validation": {"name": "validation", "num_bytes": 47277039, "num_examples": 7700, "dataset_name": "totto"}, "test": {"name": "test", "num_bytes": 40883586, "num_examples": 7700, "dataset_name": "totto"}}, "download_checksums": {"https://storage.googleapis.com/totto/totto_data.zip": {"num_bytes": 187724372, "checksum": "0aab72597057394514fd9659745fd2b318d1a64bf0b2ca1b2c339abe0692fdf2"}}, "download_size": 187724372, "post_processing_size": null, "dataset_size": 740915431, "size_in_bytes": 928639803}}
|
|
|
1 |
+
{"default": {"description": "ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.\n", "citation": "@inproceedings{parikh2020totto,\n title={{ToTTo}: A Controlled Table-To-Text Generation Dataset},\n author={Parikh, Ankur P and Wang, Xuezhi and Gehrmann, Sebastian and Faruqui, Manaal and Dhingra, Bhuwan and Yang, Diyi and Das, Dipanjan},\n booktitle={Proceedings of EMNLP},\n year={2020}\n }\n", "homepage": "", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "table_page_title": {"dtype": "string", "id": null, "_type": "Value"}, "table_webpage_url": {"dtype": "string", "id": null, "_type": "Value"}, "table_section_title": {"dtype": "string", "id": null, "_type": "Value"}, "table_section_text": {"dtype": "string", "id": null, "_type": "Value"}, "table": [[{"column_span": {"dtype": "int32", "id": null, "_type": "Value"}, "is_header": {"dtype": "bool", "id": null, "_type": "Value"}, "row_span": {"dtype": "int32", "id": null, "_type": "Value"}, "value": {"dtype": "string", "id": null, "_type": "Value"}}]], "highlighted_cells": {"feature": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "example_id": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_annotations": {"feature": {"original_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_after_deletion": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_after_ambiguity": {"dtype": "string", "id": null, "_type": "Value"}, "final_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "overlap_subset": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "totto", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 652754806, "num_examples": 120761, "dataset_name": "totto"}, "validation": {"name": "validation", "num_bytes": 47277039, "num_examples": 7700, "dataset_name": "totto"}, "test": {"name": "test", "num_bytes": 40883586, "num_examples": 7700, "dataset_name": "totto"}}, "download_checksums": {"https://storage.googleapis.com/totto-public/totto_data.zip": {"num_bytes": 187724372, "checksum": "0aab72597057394514fd9659745fd2b318d1a64bf0b2ca1b2c339abe0692fdf2"}}, "download_size": 187724372, "post_processing_size": null, "dataset_size": 740915431, "size_in_bytes": 928639803}}
|
totto.py
CHANGED
@@ -24,7 +24,7 @@ _DESCRIPTION = """\
|
|
24 |
ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.
|
25 |
"""
|
26 |
_HOMEPAGE_URL = ""
|
27 |
-
_URL = "https://storage.googleapis.com/totto/totto_data.zip"
|
28 |
_CITATION = """\
|
29 |
@inproceedings{parikh2020totto,
|
30 |
title={{ToTTo}: A Controlled Table-To-Text Generation Dataset},
|
|
|
24 |
ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.
|
25 |
"""
|
26 |
_HOMEPAGE_URL = ""
|
27 |
+
_URL = "https://storage.googleapis.com/totto-public/totto_data.zip"
|
28 |
_CITATION = """\
|
29 |
@inproceedings{parikh2020totto,
|
30 |
title={{ToTTo}: A Controlled Table-To-Text Generation Dataset},
|