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Datasets:
Effyis
/
Table-Extraction

Tasks:
Feature Extraction
Modalities:
Text
Formats:
csv
Languages:
English
Arabic
Size:
10K - 100K
Tags:
finance
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
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Update README.md

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README.md CHANGED
@@ -38,42 +38,71 @@ Each key in the JSON object represents a column header, and the corresponding va
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  #### Answer:
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  ```json
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  {
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- "aircraft": {
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- "0": "robinson r - 22",
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- "1": "bell 206b3 jetranger",
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- "2": "ch - 47d chinook",
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- "3": "mil mi - 26",
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- "4": "ch - 53e super stallion"
 
 
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  },
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- "description": {
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- "0": "light utility helicopter",
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- "1": "turboshaft utility helicopter",
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- "2": "tandem rotor helicopter",
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- "3": "heavy - lift helicopter",
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- "4": "heavy - lift helicopter"
 
 
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  },
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- "max gross weight": {
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- "0": "1370 lb (635 kg)",
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- "1": "3200 lb (1451 kg)",
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- "2": "50000 lb (22680 kg)",
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- "3": "123500 lb (56000 kg)",
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- "4": "73500 lb (33300 kg)"
 
 
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  },
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- "total disk area": {
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- "0": "497 ft square (46.2 m square)",
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- "1": "872 ft square (81.1 m square)",
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- "2": "5655 ft square (526 m square)",
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- "3": "8495 ft square (789 m square)",
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- "4": "4900 ft square (460 m square)"
 
 
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  },
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- "max disk loading": {
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- "0": "2.6 lb / ft square (14 kg / m square)",
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- "1": "3.7 lb / ft square (18 kg / m square)",
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- "2": "8.8 lb / ft square (43 kg / m square)",
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- "3": "14.5 lb / ft square (71 kg / m square)",
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- "4": "15 lb / ft square (72 kg / m square)"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  }
 
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  ```
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  ### Example 2:
 
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  #### Answer:
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  ```json
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  {
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+ "date": {
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+ "0": "1st",
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+ "1": "3rd",
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+ "2": "4th",
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+ "3": "11th",
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+ "4": "17th",
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+ "5": "24th",
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+ "6": "25th"
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  },
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+ "opponent": {
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+ "0": "bracknell bees",
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+ "1": "slough jets",
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+ "2": "slough jets",
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+ "3": "wightlink raiders",
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+ "4": "romford raiders",
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+ "5": "swindon wildcats",
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+ "6": "swindon wildcats"
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  },
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+ "venue": {
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+ "0": "home",
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+ "1": "away",
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+ "2": "home",
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+ "3": "home",
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+ "4": "home",
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+ "5": "away",
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+ "6": "home"
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  },
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+ "result": {
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+ "0": "won 4 - 1",
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+ "1": "won 7 - 3",
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+ "2": "lost 5 - 3",
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+ "3": "won 7 - 2",
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+ "4": "lost 3 - 4",
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+ "5": "lost 2 - 4",
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+ "6": "won 8 - 2"
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  },
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+ "attendance": {
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+ "0": 1753,
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+ "1": 751,
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+ "2": 1421,
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+ "3": 1552,
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+ "4": 1535,
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+ "5": 902,
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+ "6": 2124
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+ },
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+ "competition": {
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+ "0": "league",
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+ "1": "league",
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+ "2": "league",
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+ "3": "league",
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+ "4": "league",
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+ "5": "league",
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+ "6": "league"
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+ },
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+ "man of the match": {
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+ "0": "martin bouz",
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+ "1": "joe watkins",
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+ "2": "nick cross",
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+ "3": "neil liddiard",
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+ "4": "stuart potts",
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+ "5": "lukas smital",
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+ "6": "vaclav zavoral"
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  }
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  }
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+
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  ```
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  ### Example 2: