| --- |
| license: apache-2.0 |
| task_categories: |
| - feature-extraction |
| language: |
| - en |
| - ar |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: table_extract.csv |
| tags: |
| - finance |
| --- |
| |
| # Table Extract Dataset |
| This dataset is designed to evaluate the ability of large language models (LLMs) to extract tables from text. It provides a collection of text snippets containing tables and their corresponding structured representations in JSON format. |
| ## Source |
| The dataset is based on the [Table Fact Dataset](https://github.com/wenhuchen/Table-Fact-Checking/tree/master?tab=readme-ov-file), also known as TabFact, which contains 16,573 tables extracted from Wikipedia. |
|
|
| ## Schema: |
| Each data point in the dataset consists of two elements: |
| * context: A string containing the text snippet with the embedded table. |
| * answer: A JSON object representing the extracted table structure. |
| The JSON object follows this format: |
| { |
| "column_1": { "row_id": "val1", "row_id": "val2", ... }, |
| "column_2": { "row_id": "val1", "row_id": "val2", ... }, |
| ... |
| } |
| Each key in the JSON object represents a column header, and the corresponding value is another object containing key-value pairs for each row in that column. |
|
|
| ## Examples: |
| ### Example 1: |
| #### Context: |
|  |
| #### Answer: |
| ```json |
| { |
| "date": { |
| "0": "1st", |
| "1": "3rd", |
| "2": "4th", |
| "3": "11th", |
| "4": "17th", |
| "5": "24th", |
| "6": "25th" |
| }, |
| "opponent": { |
| "0": "bracknell bees", |
| "1": "slough jets", |
| "2": "slough jets", |
| "3": "wightlink raiders", |
| "4": "romford raiders", |
| "5": "swindon wildcats", |
| "6": "swindon wildcats" |
| }, |
| "venue": { |
| "0": "home", |
| "1": "away", |
| "2": "home", |
| "3": "home", |
| "4": "home", |
| "5": "away", |
| "6": "home" |
| }, |
| "result": { |
| "0": "won 4 - 1", |
| "1": "won 7 - 3", |
| "2": "lost 5 - 3", |
| "3": "won 7 - 2", |
| "4": "lost 3 - 4", |
| "5": "lost 2 - 4", |
| "6": "won 8 - 2" |
| }, |
| "attendance": { |
| "0": 1753, |
| "1": 751, |
| "2": 1421, |
| "3": 1552, |
| "4": 1535, |
| "5": 902, |
| "6": 2124 |
| }, |
| "competition": { |
| "0": "league", |
| "1": "league", |
| "2": "league", |
| "3": "league", |
| "4": "league", |
| "5": "league", |
| "6": "league" |
| }, |
| "man of the match": { |
| "0": "martin bouz", |
| "1": "joe watkins", |
| "2": "nick cross", |
| "3": "neil liddiard", |
| "4": "stuart potts", |
| "5": "lukas smital", |
| "6": "vaclav zavoral" |
| } |
| } |
| |
| ``` |
|
|
| ### Example 2: |
| #### Context: |
|  |
| #### Answer: |
| ```json |
| { |
| "country": { |
| "exonym": { |
| "0": "iceland", |
| "1": "indonesia", |
| "2": "iran", |
| "3": "iraq", |
| "4": "ireland", |
| "5": "isle of man" |
| }, |
| "endonym": { |
| "0": "ísland", |
| "1": "indonesia", |
| "2": "īrān ایران", |
| "3": "al - 'iraq العراق îraq", |
| "4": "éire ireland", |
| "5": "isle of man ellan vannin" |
| } |
| }, |
| "capital": { |
| "exonym": { |
| "0": "reykjavík", |
| "1": "jakarta", |
| "2": "tehran", |
| "3": "baghdad", |
| "4": "dublin", |
| "5": "douglas" |
| }, |
| "endonym": { |
| "0": "reykjavík", |
| "1": "jakarta", |
| "2": "tehrān تهران", |
| "3": "baghdad بغداد bexda", |
| "4": "baile átha cliath dublin", |
| "5": "douglas doolish" |
| } |
| }, |
| "official or native language(s) (alphabet/script)": { |
| "0": "icelandic", |
| "1": "bahasa indonesia", |
| "2": "persian ( arabic script )", |
| "3": "arabic ( arabic script ) kurdish", |
| "4": "irish english", |
| "5": "english manx" |
| } |
| } |
| ``` |
