Delete README.md

README.md

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----
-annotations_creators:
-- expert-generated
-- crowdsourced
-language:
-- en
-language_creators:
-- found
-- crowdsourced
-- expert-generated
-license:
-- c-uda
-multilinguality:
-- monolingual
-paperswithcode_id: totto
-pretty_name: HiTab
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-- extended|totto
-tags: []
-task_categories:
-- table-to-text
-- question-answering
-task_ids: []
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: table_id
-    dtype: string
-  - name: table_source
-    dtype: string
-  - name: sentence_id
-    dtype: string
-  - name: sub_sentence_id
-    dtype: string
-  - name: sub_sentence
-    dtype: string
-  - name: question
-    dtype: string
-  - name: answer
-    dtype: large_string
-  - name: aggregation
-    dtype: large_string
-  - name: linked_cells
-    dtype: large_string
-  - name: answer_formulas
-    dtype: large_string
-  - name: reference_cells_map
-    dtype: large_string
-  - name: table_content
-    dtype: large_string
-  splits:
-  - name: train
-    num_bytes: 36419103
-    num_examples: 7417
-  - name: validation
-    num_bytes: 8312699
-    num_examples: 1671
-  - name: test
-    num_bytes: 7710891
-    num_examples: 1584
-  download_size: 6462957
-  dataset_size: 52442693
----
-
-# Dataset Card for HiTab
-
-## Dataset Description
-- **Homepage:** https://www.microsoft.com/en-us/research/publication/hitab-a-hierarchical-table-dataset-for-question-answering-and-natural-language-generation/
-- **Repository:** https://github.com/microsoft/HiTab/blob/main/LICENSE
-- **Paper:** https://aclanthology.org/2022.acl-long.78/
-
-### Dataset Summary
-HiTab is a dataset for question answering and data-to-text over hierarchical tables . It contains 10,672 samples and 3,597 tables from statistical reports (StatCan, NSF) and Wikipedia (ToTTo). 98.1% of the tables in HiTab are with hierarchies.
-
-### Supported Tasks and Leaderboards
-Table-to-Text Generation, Question Answering
-
-### Languages
-English
-
-### Data Instances
-3,597 tables, 10,686 sentences
-
-### Data Splits
-train, test, validation
-
-## Dataset Creation
-During the dataset annotation process, annotators first manually collect tables and descriptive sentences highly-related to tables on statistical websites written by professional analysts. Then these descriptions are revised to questions to preserve the original meanings and analyses.
-
-### Licensing Information
-
-This dataset follows the Computational Use of Data Agreement v1.0.
-
-### Citation Information
-
-```
-@article{cheng2021hitab,
-  title={HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation},
-  author={Cheng, Zhoujun and Dong, Haoyu and Wang, Zhiruo and Jia, Ran and Guo, Jiaqi and Gao, Yan and Han, Shi and Lou, Jian-Guang and Zhang, Dongmei},
-  journal={arXiv preprint arXiv:2108.06712},
-  year={2021}
-}