answer stringlengths 1 258 | chart_id stringlengths 14 18 | chart_path stringlengths 34 50 | chart_source stringclasses 8
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values | chart_url_path stringlengths 35 51 | environment stringclasses 1
value | expected_answer stringlengths 1 258 | hf_chart_url stringlengths 107 125 | id stringlengths 17 21 | label_path stringlengths 36 52 | qa_path stringlengths 55 71 | question stringlengths 24 215 | question_id stringclasses 3
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Direct exceeds Union Ads by 61 (335 − 274 = 61). | chart_0008_pie | web/Apache ECharts/pie/chart_0008_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0008_pie.html | dynamic_chart | Direct exceeds Union Ads by 61 (335 − 274 = 61). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0008_pie.html | chart_0008_pie_q2 | label/Apache ECharts/pie/chart_0008_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0008_pie_q2.json | By how much does the value for Direct exceed the value for Union Ads? | q2 | evaluation_examples/examples/chart_data/chart_0008_pie_q2.json |
Search Engine accounts for approximately 25.7% of the total. | chart_0008_pie | web/Apache ECharts/pie/chart_0008_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0008_pie.html | dynamic_chart | Search Engine accounts for approximately 25.7% of the total. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0008_pie.html | chart_0008_pie_q3 | label/Apache ECharts/pie/chart_0008_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0008_pie_q3.json | Approximately what percentage of the total does Search Engine account for, rounded to one decimal place? | q3 | evaluation_examples/examples/chart_data/chart_0008_pie_q3.json |
Video Ads has the smallest value, with 300. | chart_0009_pie | web/Apache ECharts/pie/chart_0009_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0009_pie.html | dynamic_chart | Video Ads has the smallest value, with 300. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0009_pie.html | chart_0009_pie_q1 | label/Apache ECharts/pie/chart_0009_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0009_pie_q1.json | Which access source has the smallest value, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0009_pie_q1.json |
Search Engine exceeds Direct by 313 units (1048 − 735 = 313). | chart_0009_pie | web/Apache ECharts/pie/chart_0009_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0009_pie.html | dynamic_chart | Search Engine exceeds Direct by 313 units (1048 − 735 = 313). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0009_pie.html | chart_0009_pie_q2 | label/Apache ECharts/pie/chart_0009_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0009_pie_q2.json | By how many units does Search Engine access exceed Direct access? | q2 | evaluation_examples/examples/chart_data/chart_0009_pie_q2.json |
About 33.3% of the total access comes from Search Engine. | chart_0009_pie | web/Apache ECharts/pie/chart_0009_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0009_pie.html | dynamic_chart | About 33.3% of the total access comes from Search Engine. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0009_pie.html | chart_0009_pie_q3 | label/Apache ECharts/pie/chart_0009_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0009_pie_q3.json | Approximately what percentage of the total access comes from Search Engine, rounded to one decimal place? | q3 | evaluation_examples/examples/chart_data/chart_0009_pie_q3.json |
Video Ads has the smallest value, with 300. | chart_0010_pie | web/Apache ECharts/pie/chart_0010_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0010_pie.html | dynamic_chart | Video Ads has the smallest value, with 300. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0010_pie.html | chart_0010_pie_q1 | label/Apache ECharts/pie/chart_0010_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0010_pie_q1.json | Which access source has the smallest value in the chart, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0010_pie_q1.json |
There are 313 more accesses from Search Engine than from Direct (1048 − 735 = 313). | chart_0010_pie | web/Apache ECharts/pie/chart_0010_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0010_pie.html | dynamic_chart | There are 313 more accesses from Search Engine than from Direct (1048 − 735 = 313). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0010_pie.html | chart_0010_pie_q2 | label/Apache ECharts/pie/chart_0010_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0010_pie_q2.json | How many more accesses come from Search Engine than from Direct? | q2 | evaluation_examples/examples/chart_data/chart_0010_pie_q2.json |
The total is 3147 accesses, and Email accounts for approximately 18.4% of the total. | chart_0010_pie | web/Apache ECharts/pie/chart_0010_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0010_pie.html | dynamic_chart | The total is 3147 accesses, and Email accounts for approximately 18.4% of the total. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0010_pie.html | chart_0010_pie_q3 | label/Apache ECharts/pie/chart_0010_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0010_pie_q3.json | What is the total number of accesses represented by all sources combined, and approximately what percentage of this total comes from Email (to one decimal place)? | q3 | evaluation_examples/examples/chart_data/chart_0010_pie_q3.json |
The highest value is from Search Engine, with a value of 1048. | chart_0011_pie | web/Apache ECharts/pie/chart_0011_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0011_pie.html | dynamic_chart | The highest value is from Search Engine, with a value of 1048. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0011_pie.html | chart_0011_pie_q1 | label/Apache ECharts/pie/chart_0011_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0011_pie_q1.json | Which traffic source has the highest value in the chart, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0011_pie_q1.json |
Search Engine has 748 more visits than Video Ads (1048 − 300 = 748). | chart_0011_pie | web/Apache ECharts/pie/chart_0011_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0011_pie.html | dynamic_chart | Search Engine has 748 more visits than Video Ads (1048 − 300 = 748). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0011_pie.html | chart_0011_pie_q2 | label/Apache ECharts/pie/chart_0011_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0011_pie_q2.json | How many more visits come from Search Engine than from Video Ads? | q2 | evaluation_examples/examples/chart_data/chart_0011_pie_q2.json |
Search Engine accounts for about 33.3% of the total traffic (1048 out of 3147). | chart_0011_pie | web/Apache ECharts/pie/chart_0011_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0011_pie.html | dynamic_chart | Search Engine accounts for about 33.3% of the total traffic (1048 out of 3147). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0011_pie.html | chart_0011_pie_q3 | label/Apache ECharts/pie/chart_0011_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0011_pie_q3.json | Approximately what percentage of the total traffic comes from Search Engine? | q3 | evaluation_examples/examples/chart_data/chart_0011_pie_q3.json |
Video Ads has the lowest value, with 300. | chart_0012_pie | web/Apache ECharts/pie/chart_0012_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0012_pie.html | dynamic_chart | Video Ads has the lowest value, with 300. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0012_pie.html | chart_0012_pie_q1 | label/Apache ECharts/pie/chart_0012_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0012_pie_q1.json | Which access source has the lowest value, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0012_pie_q1.json |
Search Engine exceeds Direct by 313 (1048 − 735 = 313). | chart_0012_pie | web/Apache ECharts/pie/chart_0012_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0012_pie.html | dynamic_chart | Search Engine exceeds Direct by 313 (1048 − 735 = 313). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0012_pie.html | chart_0012_pie_q2 | label/Apache ECharts/pie/chart_0012_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0012_pie_q2.json | By how much does traffic from Search Engine exceed traffic from Direct? | q2 | evaluation_examples/examples/chart_data/chart_0012_pie_q2.json |
Search Engine (1048), Direct (735), Email (580), Union Ads (484), Video Ads (300). | chart_0012_pie | web/Apache ECharts/pie/chart_0012_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0012_pie.html | dynamic_chart | Search Engine (1048), Direct (735), Email (580), Union Ads (484), Video Ads (300). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0012_pie.html | chart_0012_pie_q3 | label/Apache ECharts/pie/chart_0012_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0012_pie_q3.json | List all access sources in order from highest to lowest value. | q3 | evaluation_examples/examples/chart_data/chart_0012_pie_q3.json |
Search Engine has the highest number of accesses with a value of 1048. | chart_0013_pie | web/Apache ECharts/pie/chart_0013_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0013_pie.html | dynamic_chart | Search Engine has the highest number of accesses with a value of 1048. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0013_pie.html | chart_0013_pie_q1 | label/Apache ECharts/pie/chart_0013_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0013_pie_q1.json | Which referer source has the highest number of accesses, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0013_pie_q1.json |
Direct traffic accounts for about 23.4% of total accesses (735 out of 3147). | chart_0013_pie | web/Apache ECharts/pie/chart_0013_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0013_pie.html | dynamic_chart | Direct traffic accounts for about 23.4% of total accesses (735 out of 3147). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0013_pie.html | chart_0013_pie_q2 | label/Apache ECharts/pie/chart_0013_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0013_pie_q2.json | Approximately what percentage of total accesses come from Direct traffic? | q2 | evaluation_examples/examples/chart_data/chart_0013_pie_q2.json |
Yes. Search Engine and Direct total 1783 accesses, while Email, Union Ads, and Video Ads total 1364, so the first group has 419 more accesses. | chart_0013_pie | web/Apache ECharts/pie/chart_0013_pie.html | Apache ECharts | pie | /web/Apache ECharts/pie/chart_0013_pie.html | dynamic_chart | Yes. Search Engine and Direct total 1783 accesses, while Email, Union Ads, and Video Ads total 1364, so the first group has 419 more accesses. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/pie/chart_0013_pie.html | chart_0013_pie_q3 | label/Apache ECharts/pie/chart_0013_pie.json | question_answer/Apache ECharts/pie/PreQA/chart_0013_pie_q3.json | Do Search Engine and Direct combined account for more accesses than Email, Union Ads, and Video Ads combined, and by how many accesses? | q3 | evaluation_examples/examples/chart_data/chart_0013_pie_q3.json |
The highest value is 14 commits, occurring on Wednesday at 1p and on Tuesday at 3p. | chart_0001_scatter | web/Apache ECharts/scatter/chart_0001_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0001_scatter.html | dynamic_chart | The highest value is 14 commits, occurring on Wednesday at 1p and on Tuesday at 3p. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0001_scatter.html | chart_0001_scatter_q1 | label/Apache ECharts/scatter/chart_0001_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0001_scatter_q1.json | What is the highest number of commits recorded at any day and hour, and on which day(s) and hour(s) does this maximum occur? | q1 | evaluation_examples/examples/chart_data/chart_0001_scatter_q1.json |
On Monday from 12p through 5p inclusive, there are 44 commits in total (5 + 10 + 5 + 7 + 11 + 6). | chart_0001_scatter | web/Apache ECharts/scatter/chart_0001_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0001_scatter.html | dynamic_chart | On Monday from 12p through 5p inclusive, there are 44 commits in total (5 + 10 + 5 + 7 + 11 + 6). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0001_scatter.html | chart_0001_scatter_q2 | label/Apache ECharts/scatter/chart_0001_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0001_scatter_q2.json | On Monday, how many commits are there in total from 12p through 5p inclusive? | q2 | evaluation_examples/examples/chart_data/chart_0001_scatter_q2.json |
At 7p, Friday has the highest number of commits with 12 commits. | chart_0001_scatter | web/Apache ECharts/scatter/chart_0001_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0001_scatter.html | dynamic_chart | At 7p, Friday has the highest number of commits with 12 commits. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0001_scatter.html | chart_0001_scatter_q3 | label/Apache ECharts/scatter/chart_0001_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0001_scatter_q3.json | At 7p, which day has the highest number of commits and what is that number? | q3 | evaluation_examples/examples/chart_data/chart_0001_scatter_q3.json |
“Beverage, milkshake mix, dry, not chocolate” has the highest potassium content at 2.2. | chart_0002_scatter | web/Apache ECharts/scatter/chart_0002_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0002_scatter.html | dynamic_chart | “Beverage, milkshake mix, dry, not chocolate” has the highest potassium content at 2.2. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0002_scatter.html | chart_0002_scatter_q1 | label/Apache ECharts/scatter/chart_0002_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0002_scatter_q1.json | Among the three beverage products listed (the two chocolate instant breakfast powders and the milkshake mix), which one has the highest potassium content and what is that potassium value? | q1 | evaluation_examples/examples/chart_data/chart_0002_scatter_q1.json |
The sugar-free chocolate instant breakfast powder has 26.8 units less sugars than the regular chocolate instant breakfast powder (65.8 − 39 = 26.8). | chart_0002_scatter | web/Apache ECharts/scatter/chart_0002_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0002_scatter.html | dynamic_chart | The sugar-free chocolate instant breakfast powder has 26.8 units less sugars than the regular chocolate instant breakfast powder (65.8 − 39 = 26.8). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0002_scatter.html | chart_0002_scatter_q2 | label/Apache ECharts/scatter/chart_0002_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0002_scatter_q2.json | Comparing the two chocolate instant breakfast powders, by how many units is the sugars value lower in the sugar-free product than in the regular product? | q2 | evaluation_examples/examples/chart_data/chart_0002_scatter_q2.json |
“Butter oil, anhydrous” has both carbohydrate and sugars equal to 0 after normalization. | chart_0002_scatter | web/Apache ECharts/scatter/chart_0002_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0002_scatter.html | dynamic_chart | “Butter oil, anhydrous” has both carbohydrate and sugars equal to 0 after normalization. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0002_scatter.html | chart_0002_scatter_q3 | label/Apache ECharts/scatter/chart_0002_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0002_scatter_q3.json | Which of the listed products has both carbohydrate and sugars equal to 0 after data normalization? | q3 | evaluation_examples/examples/chart_data/chart_0002_scatter_q3.json |
In the Beijing series, the AQI index is highest on day 9, with a value of 267. | chart_0003_scatter | web/Apache ECharts/scatter/chart_0003_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0003_scatter.html | dynamic_chart | In the Beijing series, the AQI index is highest on day 9, with a value of 267. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0003_scatter.html | chart_0003_scatter_q1 | label/Apache ECharts/scatter/chart_0003_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0003_scatter_q1.json | In the Beijing series, on which date is the AQI index highest, and what is that AQI value? | q1 | evaluation_examples/examples/chart_data/chart_0003_scatter_q1.json |
On day 24, Guangzhou has the highest PM2.5 value, which is 130. | chart_0003_scatter | web/Apache ECharts/scatter/chart_0003_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0003_scatter.html | dynamic_chart | On day 24, Guangzhou has the highest PM2.5 value, which is 130. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0003_scatter.html | chart_0003_scatter_q2 | label/Apache ECharts/scatter/chart_0003_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0003_scatter_q2.json | On day 24, which city has the highest PM2.5 value, and what is that value? | q2 | evaluation_examples/examples/chart_data/chart_0003_scatter_q2.json |
Shanghai had a higher PM2.5 level (80) compared to Guangzhou (68). | chart_0003_scatter | web/Apache ECharts/scatter/chart_0003_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0003_scatter.html | dynamic_chart | Shanghai had a higher PM2.5 level (80) compared to Guangzhou (68). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0003_scatter.html | chart_0003_scatter_q3 | label/Apache ECharts/scatter/chart_0003_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0003_scatter_q3.json | On day 15, which city had a higher PM2.5 level, Shanghai or Guangzhou? | q3 | evaluation_examples/examples/chart_data/chart_0003_scatter_q3.json |
The highest recorded weight is 116.4 kg, belonging to a Male at a height of 177.8 cm. | chart_0005_scatter | web/Apache ECharts/scatter/chart_0005_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0005_scatter.html | dynamic_chart | The highest recorded weight is 116.4 kg, belonging to a Male at a height of 177.8 cm. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0005_scatter.html | chart_0005_scatter_q1 | label/Apache ECharts/scatter/chart_0005_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0005_scatter_q1.json | Across both the Female and Male datasets, what is the highest recorded weight, which gender does it belong to, and what are that person's height and weight? | q1 | evaluation_examples/examples/chart_data/chart_0005_scatter_q1.json |
Females range from 147.2 cm to 182.9 cm, while males range from 157.2 cm to 198.1 cm; males span the larger height range. | chart_0005_scatter | web/Apache ECharts/scatter/chart_0005_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0005_scatter.html | dynamic_chart | Females range from 147.2 cm to 182.9 cm, while males range from 157.2 cm to 198.1 cm; males span the larger height range. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0005_scatter.html | chart_0005_scatter_q2 | label/Apache ECharts/scatter/chart_0005_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0005_scatter_q2.json | What are the minimum and maximum heights recorded for males and for females, and which gender spans a larger height range? | q2 | evaluation_examples/examples/chart_data/chart_0005_scatter_q2.json |
The female at 175.0 cm is heavier, weighing 82.5 kg versus the male’s 62.0 kg, a difference of 20.5 kg. | chart_0005_scatter | web/Apache ECharts/scatter/chart_0005_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0005_scatter.html | dynamic_chart | The female at 175.0 cm is heavier, weighing 82.5 kg versus the male’s 62.0 kg, a difference of 20.5 kg. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0005_scatter.html | chart_0005_scatter_q3 | label/Apache ECharts/scatter/chart_0005_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0005_scatter_q3.json | Comparing the female data point at 175.0 cm and the male data point at 175.0 cm, whose weight is higher and by how many kilograms? | q3 | evaluation_examples/examples/chart_data/chart_0005_scatter_q3.json |
The highest value is 14, and it occurs on Wednesday at 1p and on Tuesday at 3p. | chart_0006_scatter | web/Apache ECharts/scatter/chart_0006_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0006_scatter.html | dynamic_chart | The highest value is 14, and it occurs on Wednesday at 1p and on Tuesday at 3p. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0006_scatter.html | chart_0006_scatter_q1 | label/Apache ECharts/scatter/chart_0006_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0006_scatter_q1.json | What is the highest value shown in the chart, and on which days and hours does this maximum occur? | q1 | evaluation_examples/examples/chart_data/chart_0006_scatter_q1.json |
At 7p, Friday has the highest value, which is 12. | chart_0006_scatter | web/Apache ECharts/scatter/chart_0006_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0006_scatter.html | dynamic_chart | At 7p, Friday has the highest value, which is 12. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0006_scatter.html | chart_0006_scatter_q2 | label/Apache ECharts/scatter/chart_0006_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0006_scatter_q2.json | At 7p, which day has the highest value, and what is that value? | q2 | evaluation_examples/examples/chart_data/chart_0006_scatter_q2.json |
Sunday has the greatest number of zero-value hours, with 14 hours at zero. | chart_0006_scatter | web/Apache ECharts/scatter/chart_0006_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0006_scatter.html | dynamic_chart | Sunday has the greatest number of zero-value hours, with 14 hours at zero. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0006_scatter.html | chart_0006_scatter_q3 | label/Apache ECharts/scatter/chart_0006_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0006_scatter_q3.json | Which day has the greatest number of hours with a value of zero, and how many zero-value hours does it have? | q3 | evaluation_examples/examples/chart_data/chart_0006_scatter_q3.json |
On Wednesday, the highest number of commits is at 1p, with 14 commits. | chart_0007_scatter | web/Apache ECharts/scatter/chart_0007_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0007_scatter.html | dynamic_chart | On Wednesday, the highest number of commits is at 1p, with 14 commits. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0007_scatter.html | chart_0007_scatter_q1 | label/Apache ECharts/scatter/chart_0007_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0007_scatter_q1.json | On Wednesday, at which hour is the number of commits highest, and how many commits occur then? | q1 | evaluation_examples/examples/chart_data/chart_0007_scatter_q1.json |
Friday at 10a has more commits, with 5 commits versus 4 on Monday at 10a, a difference of 1 commit. | chart_0007_scatter | web/Apache ECharts/scatter/chart_0007_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0007_scatter.html | dynamic_chart | Friday at 10a has more commits, with 5 commits versus 4 on Monday at 10a, a difference of 1 commit. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0007_scatter.html | chart_0007_scatter_q2 | label/Apache ECharts/scatter/chart_0007_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0007_scatter_q2.json | Comparing Friday at 10a and Monday at 10a, which time has more commits and by how many? | q2 | evaluation_examples/examples/chart_data/chart_0007_scatter_q2.json |
Wednesday has the highest total number of commits, with 110 commits. | chart_0007_scatter | web/Apache ECharts/scatter/chart_0007_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0007_scatter.html | dynamic_chart | Wednesday has the highest total number of commits, with 110 commits. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0007_scatter.html | chart_0007_scatter_q3 | label/Apache ECharts/scatter/chart_0007_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0007_scatter_q3.json | Across the whole week, which day has the highest total number of commits, and what is that total? | q3 | evaluation_examples/examples/chart_data/chart_0007_scatter_q3.json |
The largest main business income is 226.55, and its corresponding net profit is 664.02. | chart_0008_scatter | web/Apache ECharts/scatter/chart_0008_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0008_scatter.html | dynamic_chart | The largest main business income is 226.55, and its corresponding net profit is 664.02. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0008_scatter.html | chart_0008_scatter_q1 | label/Apache ECharts/scatter/chart_0008_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0008_scatter_q1.json | Which data point has the largest main business income, and what is its corresponding net profit? | q1 | evaluation_examples/examples/chart_data/chart_0008_scatter_q1.json |
0.85 million. | chart_0008_scatter | web/Apache ECharts/scatter/chart_0008_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0008_scatter.html | dynamic_chart | 0.85 million. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0008_scatter.html | chart_0008_scatter_q3 | label/Apache ECharts/scatter/chart_0008_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0008_scatter_q3.json | What is the main business income for the data point with the smallest net profit? | q3 | evaluation_examples/examples/chart_data/chart_0008_scatter_q3.json |
The y-value at x = 0.427 is 3.743365. | chart_0009_scatter | web/Apache ECharts/scatter/chart_0009_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0009_scatter.html | dynamic_chart | The y-value at x = 0.427 is 3.743365. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0009_scatter.html | chart_0009_scatter_q2 | label/Apache ECharts/scatter/chart_0009_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0009_scatter_q2.json | By how much is the y-value at x = 0.427? | q2 | evaluation_examples/examples/chart_data/chart_0009_scatter_q2.json |
As x increases from low to high values, y generally increases, indicating a positive relationship between x and y. | chart_0009_scatter | web/Apache ECharts/scatter/chart_0009_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0009_scatter.html | dynamic_chart | As x increases from low to high values, y generally increases, indicating a positive relationship between x and y. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0009_scatter.html | chart_0009_scatter_q3 | label/Apache ECharts/scatter/chart_0009_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0009_scatter_q3.json | Considering the scatter data as a whole, as x increases from low values (around 0.02–0.1) to high values (around 0.9–1.0), does y generally increase, decrease, or remain roughly constant? | q3 | evaluation_examples/examples/chart_data/chart_0009_scatter_q3.json |
The GDP at x = 12 is 26,638.1 trillion yuan. | chart_0010_scatter | web/Apache ECharts/scatter/chart_0010_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0010_scatter.html | dynamic_chart | The GDP at x = 12 is 26,638.1 trillion yuan. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0010_scatter.html | chart_0010_scatter_q1 | label/Apache ECharts/scatter/chart_0010_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0010_scatter_q1.json | According to the scatter data, what is the GDP value at x = 12? | q1 | evaluation_examples/examples/chart_data/chart_0010_scatter_q1.json |
No, the GDP increases at every step between consecutive data points from x = 1 to x = 18. | chart_0010_scatter | web/Apache ECharts/scatter/chart_0010_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0010_scatter.html | dynamic_chart | No, the GDP increases at every step between consecutive data points from x = 1 to x = 18. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0010_scatter.html | chart_0010_scatter_q2 | label/Apache ECharts/scatter/chart_0010_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0010_scatter_q2.json | Over the x-range from 1 to 18, does the GDP value ever decrease between consecutive data points? | q2 | evaluation_examples/examples/chart_data/chart_0010_scatter_q2.json |
The largest increase is between x = 13 and x = 14, where GDP rises by 12,125.0 trillion yuan. | chart_0010_scatter | web/Apache ECharts/scatter/chart_0010_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0010_scatter.html | dynamic_chart | The largest increase is between x = 13 and x = 14, where GDP rises by 12,125.0 trillion yuan. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0010_scatter.html | chart_0010_scatter_q3 | label/Apache ECharts/scatter/chart_0010_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0010_scatter_q3.json | Between which two consecutive x-values does GDP increase by the largest amount, and what is that increase? | q3 | evaluation_examples/examples/chart_data/chart_0010_scatter_q3.json |
The highest value is 867 on 2017-02-27. | chart_0011_scatter | web/Apache ECharts/scatter/chart_0011_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0011_scatter.html | dynamic_chart | The highest value is 867 on 2017-02-27. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0011_scatter.html | chart_0011_scatter_q1 | label/Apache ECharts/scatter/chart_0011_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0011_scatter_q1.json | In the graph data series for February 2017, on which date is the value highest, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0011_scatter_q1.json |
The maximum value is 867 and the minimum is 2, so the difference is 865. | chart_0011_scatter | web/Apache ECharts/scatter/chart_0011_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0011_scatter.html | dynamic_chart | The maximum value is 867 and the minimum is 2, so the difference is 865. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0011_scatter.html | chart_0011_scatter_q2 | label/Apache ECharts/scatter/chart_0011_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0011_scatter_q2.json | Considering all the graph data points in February 2017, what is the difference between the maximum and minimum values? | q2 | evaluation_examples/examples/chart_data/chart_0011_scatter_q2.json |
There are 9 points with an x-value greater than 3. | chart_0012_scatter | web/Apache ECharts/scatter/chart_0012_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0012_scatter.html | dynamic_chart | There are 9 points with an x-value greater than 3. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0012_scatter.html | chart_0012_scatter_q1 | label/Apache ECharts/scatter/chart_0012_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0012_scatter_q1.json | How many scatter points in the chart have an x-value greater than 3? | q1 | evaluation_examples/examples/chart_data/chart_0012_scatter_q1.json |
The minimum y-value is -4.168078, the maximum y-value is 4.900932, giving a total y-axis spread of 9.06901. | chart_0012_scatter | web/Apache ECharts/scatter/chart_0012_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0012_scatter.html | dynamic_chart | The minimum y-value is -4.168078, the maximum y-value is 4.900932, giving a total y-axis spread of 9.06901. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0012_scatter.html | chart_0012_scatter_q2 | label/Apache ECharts/scatter/chart_0012_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0012_scatter_q2.json | What are the minimum and maximum y-values among all plotted points, and what is the total spread (maximum minus minimum) along the y-axis? | q2 | evaluation_examples/examples/chart_data/chart_0012_scatter_q2.json |
The x-values range from -4.822011 to 4.606999, so the range is 9.42901. | chart_0012_scatter | web/Apache ECharts/scatter/chart_0012_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0012_scatter.html | dynamic_chart | The x-values range from -4.822011 to 4.606999, so the range is 9.42901. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0012_scatter.html | chart_0012_scatter_q3 | label/Apache ECharts/scatter/chart_0012_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0012_scatter_q3.json | What is the numerical range of x-values (maximum x minus minimum x) represented in the scatter plot? | q3 | evaluation_examples/examples/chart_data/chart_0012_scatter_q3.json |
The highest y-value is 12.74, occurring in Group III at x = 13.0. | chart_0013_scatter | web/Apache ECharts/scatter/chart_0013_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0013_scatter.html | dynamic_chart | The highest y-value is 12.74, occurring in Group III at x = 13.0. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0013_scatter.html | chart_0013_scatter_q1 | label/Apache ECharts/scatter/chart_0013_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0013_scatter_q1.json | Across all four groups, what is the highest y-value plotted, and in which group and at what x-value does it occur? | q1 | evaluation_examples/examples/chart_data/chart_0013_scatter_q1.json |
In Group IV, the outlier point has coordinates (19.0, 12.5). | chart_0013_scatter | web/Apache ECharts/scatter/chart_0013_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0013_scatter.html | dynamic_chart | In Group IV, the outlier point has coordinates (19.0, 12.5). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0013_scatter.html | chart_0013_scatter_q2 | label/Apache ECharts/scatter/chart_0013_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0013_scatter_q2.json | In Group IV, what are the coordinates of the single point whose x-value is different from all the other points in that group? | q2 | evaluation_examples/examples/chart_data/chart_0013_scatter_q2.json |
For x = 4.0, Group III has the highest y-value, which is 5.39. | chart_0013_scatter | web/Apache ECharts/scatter/chart_0013_scatter.html | Apache ECharts | scatter | /web/Apache ECharts/scatter/chart_0013_scatter.html | dynamic_chart | For x = 4.0, Group III has the highest y-value, which is 5.39. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Apache%20ECharts/scatter/chart_0013_scatter.html | chart_0013_scatter_q3 | label/Apache ECharts/scatter/chart_0013_scatter.json | question_answer/Apache ECharts/scatter/PreQA/chart_0013_scatter_q3.json | For x = 4.0, which of Groups I, II, and III has the highest y-value, and what is that y-value? | q3 | evaluation_examples/examples/chart_data/chart_0013_scatter_q3.json |
Dataset 2 reaches its lowest value in July, with a value of -97.2702332. | chart_0063_bar | web/Chart.js/bar/chart_0063_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0063_bar.html | dynamic_chart | Dataset 2 reaches its lowest value in July, with a value of -97.2702332. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0063_bar.html | chart_0063_bar_q1 | label/Chart.js/bar/chart_0063_bar.json | question_answer/Chart.js/bar/PreQA/chart_0063_bar_q1.json | In which month does Dataset 2 reach its lowest value, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0063_bar_q1.json |
There are 3 such months: February, March, and May. | chart_0063_bar | web/Chart.js/bar/chart_0063_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0063_bar.html | dynamic_chart | There are 3 such months: February, March, and May. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0063_bar.html | chart_0063_bar_q2 | label/Chart.js/bar/chart_0063_bar.json | question_answer/Chart.js/bar/PreQA/chart_0063_bar_q2.json | In how many months does Dataset 1 have a positive value while Dataset 2 has a negative value, and which months are these? | q2 | evaluation_examples/examples/chart_data/chart_0063_bar_q2.json |
The difference between the highest value (90.24005487) and the lowest value (-61.15226337) in Dataset 1 is 151.39231824. | chart_0063_bar | web/Chart.js/bar/chart_0063_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0063_bar.html | dynamic_chart | The difference between the highest value (90.24005487) and the lowest value (-61.15226337) in Dataset 1 is 151.39231824. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0063_bar.html | chart_0063_bar_q3 | label/Chart.js/bar/chart_0063_bar.json | question_answer/Chart.js/bar/PreQA/chart_0063_bar_q3.json | What is the difference between the highest and lowest monthly values in Dataset 1? | q3 | evaluation_examples/examples/chart_data/chart_0063_bar_q3.json |
The lowest value is −91.01251715 in Dataset 2 for January. | chart_0064_bar | web/Chart.js/bar/chart_0064_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0064_bar.html | dynamic_chart | The lowest value is −91.01251715 in Dataset 2 for January. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0064_bar.html | chart_0064_bar_q1 | label/Chart.js/bar/chart_0064_bar.json | question_answer/Chart.js/bar/PreQA/chart_0064_bar_q1.json | Across all three datasets and all months, which data point has the lowest value, and what are its dataset name, month, and value? | q1 | evaluation_examples/examples/chart_data/chart_0064_bar_q1.json |
In March, from highest to lowest: Dataset 2 (68.88803155), Dataset 3 (40.57698903), Dataset 1 (10.57355967). | chart_0064_bar | web/Chart.js/bar/chart_0064_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0064_bar.html | dynamic_chart | In March, from highest to lowest: Dataset 2 (68.88803155), Dataset 3 (40.57698903), Dataset 1 (10.57355967). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0064_bar.html | chart_0064_bar_q2 | label/Chart.js/bar/chart_0064_bar.json | question_answer/Chart.js/bar/PreQA/chart_0064_bar_q2.json | In March, rank Dataset 1, Dataset 2, and Dataset 3 from highest to lowest value. | q2 | evaluation_examples/examples/chart_data/chart_0064_bar_q2.json |
40.577 | chart_0064_bar | web/Chart.js/bar/chart_0064_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0064_bar.html | dynamic_chart | 40.577 | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0064_bar.html | chart_0064_bar_q3 | label/Chart.js/bar/chart_0064_bar.json | question_answer/Chart.js/bar/PreQA/chart_0064_bar_q3.json | What's the value of the point in dataset3 in March？ | q3 | evaluation_examples/examples/chart_data/chart_0064_bar_q3.json |
The lowest value is −96.92815501 in the Fully Rounded dataset for March. | chart_0065_bar | web/Chart.js/bar/chart_0065_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0065_bar.html | dynamic_chart | The lowest value is −96.92815501 in the Fully Rounded dataset for March. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0065_bar.html | chart_0065_bar_q1 | label/Chart.js/bar/chart_0065_bar.json | question_answer/Chart.js/bar/PreQA/chart_0065_bar_q1.json | Across both datasets and all months, which data point has the lowest value, and what are its dataset, month, and value? | q1 | evaluation_examples/examples/chart_data/chart_0065_bar_q1.json |
In May, the difference is 155.63957476 (90.21690672 − (−65.42266804)). | chart_0065_bar | web/Chart.js/bar/chart_0065_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0065_bar.html | dynamic_chart | In May, the difference is 155.63957476 (90.21690672 − (−65.42266804)). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0065_bar.html | chart_0065_bar_q2 | label/Chart.js/bar/chart_0065_bar.json | question_answer/Chart.js/bar/PreQA/chart_0065_bar_q2.json | In May, what is the numerical difference between the Small Radius value and the Fully Rounded value (Small Radius minus Fully Rounded)? | q2 | evaluation_examples/examples/chart_data/chart_0065_bar_q2.json |
In zero months; there is no month where both datasets are positive at the same time. | chart_0065_bar | web/Chart.js/bar/chart_0065_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0065_bar.html | dynamic_chart | In zero months; there is no month where both datasets are positive at the same time. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0065_bar.html | chart_0065_bar_q3 | label/Chart.js/bar/chart_0065_bar.json | question_answer/Chart.js/bar/PreQA/chart_0065_bar_q3.json | In how many months do both the Fully Rounded and Small Radius datasets have positive values simultaneously? | q3 | evaluation_examples/examples/chart_data/chart_0065_bar_q3.json |
Dataset 1 in March has the widest floating bar, with a distance of about 166.17 units between 92.32 and -73.85. | chart_0066_bar | web/Chart.js/bar/chart_0066_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0066_bar.html | dynamic_chart | Dataset 1 in March has the widest floating bar, with a distance of about 166.17 units between 92.32 and -73.85. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0066_bar.html | chart_0066_bar_q1 | label/Chart.js/bar/chart_0066_bar.json | question_answer/Chart.js/bar/PreQA/chart_0066_bar_q1.json | Across both datasets and all months, which dataset and month have the widest floating bar (largest distance between its two endpoints), and what is that distance? | q1 | evaluation_examples/examples/chart_data/chart_0066_bar_q1.json |
In Dataset 2, both endpoints are above zero in 3 months: January, March, and April. | chart_0066_bar | web/Chart.js/bar/chart_0066_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0066_bar.html | dynamic_chart | In Dataset 2, both endpoints are above zero in 3 months: January, March, and April. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0066_bar.html | chart_0066_bar_q2 | label/Chart.js/bar/chart_0066_bar.json | question_answer/Chart.js/bar/PreQA/chart_0066_bar_q2.json | For Dataset 2, in how many months do both endpoints of its floating bar lie above zero, and which months are these? | q2 | evaluation_examples/examples/chart_data/chart_0066_bar_q2.json |
In May, Dataset 1 has the larger range (about 152.80 units), exceeding Dataset 2’s range (about 71.79 units) by roughly 81.01 units. | chart_0066_bar | web/Chart.js/bar/chart_0066_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0066_bar.html | dynamic_chart | In May, Dataset 1 has the larger range (about 152.80 units), exceeding Dataset 2’s range (about 71.79 units) by roughly 81.01 units. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0066_bar.html | chart_0066_bar_q3 | label/Chart.js/bar/chart_0066_bar.json | question_answer/Chart.js/bar/PreQA/chart_0066_bar_q3.json | In May, which dataset has the larger floating bar range, and by approximately how many units does it exceed the other dataset's range? | q3 | evaluation_examples/examples/chart_data/chart_0066_bar_q3.json |
March has the highest combined value, with Dataset 1 and Dataset 2 totaling 168.37105624. | chart_0067_bar | web/Chart.js/bar/chart_0067_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0067_bar.html | dynamic_chart | March has the highest combined value, with Dataset 1 and Dataset 2 totaling 168.37105624. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0067_bar.html | chart_0067_bar_q1 | label/Chart.js/bar/chart_0067_bar.json | question_answer/Chart.js/bar/PreQA/chart_0067_bar_q1.json | In which month do Dataset 1 and Dataset 2 together have the highest combined value, and what is that combined value? | q1 | evaluation_examples/examples/chart_data/chart_0067_bar_q1.json |
Dataset 2 has positive values in 3 months: February, March, and June. | chart_0067_bar | web/Chart.js/bar/chart_0067_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0067_bar.html | dynamic_chart | Dataset 2 has positive values in 3 months: February, March, and June. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0067_bar.html | chart_0067_bar_q2 | label/Chart.js/bar/chart_0067_bar.json | question_answer/Chart.js/bar/PreQA/chart_0067_bar_q2.json | For Dataset 2, how many months have positive values, and which months are they? | q2 | evaluation_examples/examples/chart_data/chart_0067_bar_q2.json |
The largest difference occurs in May, with a magnitude of 155.67729767 between Dataset 1 and Dataset 2. | chart_0067_bar | web/Chart.js/bar/chart_0067_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0067_bar.html | dynamic_chart | The largest difference occurs in May, with a magnitude of 155.67729767 between Dataset 1 and Dataset 2. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0067_bar.html | chart_0067_bar_q3 | label/Chart.js/bar/chart_0067_bar.json | question_answer/Chart.js/bar/PreQA/chart_0067_bar_q3.json | During which month is the difference between Dataset 1 and Dataset 2 values largest in magnitude, and what is the value of that difference? | q3 | evaluation_examples/examples/chart_data/chart_0067_bar_q3.json |
Dataset 1 is highest in January, at about 94.67. | chart_0068_bar | web/Chart.js/bar/chart_0068_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0068_bar.html | dynamic_chart | Dataset 1 is highest in January, at about 94.67. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0068_bar.html | chart_0068_bar_q1 | label/Chart.js/bar/chart_0068_bar.json | question_answer/Chart.js/bar/PreQA/chart_0068_bar_q1.json | In Dataset 1, during which month is the value highest, and approximately what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0068_bar_q1.json |
July has the highest Stack 0 total, at about 39.46. | chart_0068_bar | web/Chart.js/bar/chart_0068_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0068_bar.html | dynamic_chart | July has the highest Stack 0 total, at about 39.46. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0068_bar.html | chart_0068_bar_q2 | label/Chart.js/bar/chart_0068_bar.json | question_answer/Chart.js/bar/PreQA/chart_0068_bar_q2.json | If you sum Dataset 1 and Dataset 2 for each month (the Stack 0 total), which month has the highest total and what is that total approximately? | q2 | evaluation_examples/examples/chart_data/chart_0068_bar_q2.json |
Dataset 3 is negative in 4 months: February, March, May, and July. | chart_0068_bar | web/Chart.js/bar/chart_0068_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0068_bar.html | dynamic_chart | Dataset 3 is negative in 4 months: February, March, May, and July. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0068_bar.html | chart_0068_bar_q3 | label/Chart.js/bar/chart_0068_bar.json | question_answer/Chart.js/bar/PreQA/chart_0068_bar_q3.json | For Dataset 3, in how many months is the value negative, and which months are they? | q3 | evaluation_examples/examples/chart_data/chart_0068_bar_q3.json |
Dataset 3 is highest in April with a value of 89.8808299. | chart_0069_bar | web/Chart.js/bar/chart_0069_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0069_bar.html | dynamic_chart | Dataset 3 is highest in April with a value of 89.8808299. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0069_bar.html | chart_0069_bar_q1 | label/Chart.js/bar/chart_0069_bar.json | question_answer/Chart.js/bar/PreQA/chart_0069_bar_q1.json | For Dataset 3, in which month is its value highest, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0069_bar_q1.json |
April has the highest total stacked value at 103.75257201, and May has the lowest total at -119.05092593. | chart_0069_bar | web/Chart.js/bar/chart_0069_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0069_bar.html | dynamic_chart | April has the highest total stacked value at 103.75257201, and May has the lowest total at -119.05092593. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0069_bar.html | chart_0069_bar_q2 | label/Chart.js/bar/chart_0069_bar.json | question_answer/Chart.js/bar/PreQA/chart_0069_bar_q2.json | Considering the sum of all three datasets in each month (the total stacked value), which month has the highest total and which has the lowest total, and what are those totals? | q2 | evaluation_examples/examples/chart_data/chart_0069_bar_q2.json |
Dataset 1 has positive values in 2 months and negative values in 5 months. Dataset 2 has positive values in 3 months and negative values in 4 months. Dataset 3 has positive values in 3 months and negative values in 4 months. | chart_0069_bar | web/Chart.js/bar/chart_0069_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0069_bar.html | dynamic_chart | Dataset 1 has positive values in 2 months and negative values in 5 months. Dataset 2 has positive values in 3 months and negative values in 4 months. Dataset 3 has positive values in 3 months and negative values in 4 months. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0069_bar.html | chart_0069_bar_q3 | label/Chart.js/bar/chart_0069_bar.json | question_answer/Chart.js/bar/PreQA/chart_0069_bar_q3.json | For each dataset, how many of the seven months show a positive value and how many show a negative value? | q3 | evaluation_examples/examples/chart_data/chart_0069_bar_q3.json |
The highest value in Dataset 2 is 77.7451989, occurring in July. | chart_0070_bar | web/Chart.js/bar/chart_0070_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0070_bar.html | dynamic_chart | The highest value in Dataset 2 is 77.7451989, occurring in July. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0070_bar.html | chart_0070_bar_q1 | label/Chart.js/bar/chart_0070_bar.json | question_answer/Chart.js/bar/PreQA/chart_0070_bar_q1.json | What is the highest value in Dataset 2, and in which month does it occur? | q1 | evaluation_examples/examples/chart_data/chart_0070_bar_q1.json |
The largest absolute difference is in January, with a difference of 97.92352537. | chart_0070_bar | web/Chart.js/bar/chart_0070_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0070_bar.html | dynamic_chart | The largest absolute difference is in January, with a difference of 97.92352537. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0070_bar.html | chart_0070_bar_q2 | label/Chart.js/bar/chart_0070_bar.json | question_answer/Chart.js/bar/PreQA/chart_0070_bar_q2.json | During which month is the absolute difference between Dataset 1 and Dataset 2 values the largest, and what is that difference? | q2 | evaluation_examples/examples/chart_data/chart_0070_bar_q2.json |
Dataset 1 has negative values in 4 months. | chart_0070_bar | web/Chart.js/bar/chart_0070_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0070_bar.html | dynamic_chart | Dataset 1 has negative values in 4 months. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0070_bar.html | chart_0070_bar_q3 | label/Chart.js/bar/chart_0070_bar.json | question_answer/Chart.js/bar/PreQA/chart_0070_bar_q3.json | How many months have negative values in Dataset 1? | q3 | evaluation_examples/examples/chart_data/chart_0070_bar_q3.json |
Dataset 1 reaches its highest value in March, at approximately 98.82. | chart_0071_bar | web/Chart.js/bar/chart_0071_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0071_bar.html | dynamic_chart | Dataset 1 reaches its highest value in March, at approximately 98.82. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0071_bar.html | chart_0071_bar_q1 | label/Chart.js/bar/chart_0071_bar.json | question_answer/Chart.js/bar/PreQA/chart_0071_bar_q1.json | In which month does Dataset 1 reach its highest value, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0071_bar_q1.json |
They have opposite signs in 5 months. | chart_0071_bar | web/Chart.js/bar/chart_0071_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0071_bar.html | dynamic_chart | They have opposite signs in 5 months. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0071_bar.html | chart_0071_bar_q2 | label/Chart.js/bar/chart_0071_bar.json | question_answer/Chart.js/bar/PreQA/chart_0071_bar_q2.json | In how many months do Dataset 1 and Dataset 2 have values with opposite signs (one positive and one negative)? | q2 | evaluation_examples/examples/chart_data/chart_0071_bar_q2.json |
In July, Dataset 1 has the higher value, exceeding Dataset 2 by about 136.85 units. | chart_0071_bar | web/Chart.js/bar/chart_0071_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0071_bar.html | dynamic_chart | In July, Dataset 1 has the higher value, exceeding Dataset 2 by about 136.85 units. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0071_bar.html | chart_0071_bar_q3 | label/Chart.js/bar/chart_0071_bar.json | question_answer/Chart.js/bar/PreQA/chart_0071_bar_q3.json | In July, which dataset has the higher value, and by approximately how much does it exceed the other dataset? | q3 | evaluation_examples/examples/chart_data/chart_0071_bar_q3.json |
December has the lowest value, at approximately -98.15. | chart_0072_bar | web/Chart.js/bar/chart_0072_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0072_bar.html | dynamic_chart | December has the lowest value, at approximately -98.15. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0072_bar.html | chart_0072_bar_q1 | label/Chart.js/bar/chart_0072_bar.json | question_answer/Chart.js/bar/PreQA/chart_0072_bar_q1.json | Which month on the chart has the lowest value, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0072_bar_q1.json |
There are 9 months with values below zero. | chart_0072_bar | web/Chart.js/bar/chart_0072_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0072_bar.html | dynamic_chart | There are 9 months with values below zero. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0072_bar.html | chart_0072_bar_q2 | label/Chart.js/bar/chart_0072_bar.json | question_answer/Chart.js/bar/PreQA/chart_0072_bar_q2.json | How many months on the chart have values below zero? | q2 | evaluation_examples/examples/chart_data/chart_0072_bar_q2.json |
It increases by about 170.38 units, from roughly -89.01 in the first February to about 81.37 in the first March. | chart_0072_bar | web/Chart.js/bar/chart_0072_bar.html | Chart.js | bar | /web/Chart.js/bar/chart_0072_bar.html | dynamic_chart | It increases by about 170.38 units, from roughly -89.01 in the first February to about 81.37 in the first March. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/bar/chart_0072_bar.html | chart_0072_bar_q3 | label/Chart.js/bar/chart_0072_bar.json | question_answer/Chart.js/bar/PreQA/chart_0072_bar_q3.json | By how much does the value change from the first February to the first March on the chart? | q3 | evaluation_examples/examples/chart_data/chart_0072_bar_q3.json |
0.771 | chart_0056_line | web/Chart.js/line/chart_0056_line.html | Chart.js | line | /web/Chart.js/line/chart_0056_line.html | dynamic_chart | 0.771 | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0056_line.html | chart_0056_line_q1 | label/Chart.js/line/chart_0056_line.json | question_answer/Chart.js/line/PreQA/chart_0056_line_q1.json | At 15:16:00 on April 16, 2021, what is the corresponding data value on the chart? | q1 | evaluation_examples/examples/chart_data/chart_0056_line_q1.json |
May has the highest value in Dataset 1, with 85.49125514. | chart_0057_line | web/Chart.js/line/chart_0057_line.html | Chart.js | line | /web/Chart.js/line/chart_0057_line.html | dynamic_chart | May has the highest value in Dataset 1, with 85.49125514. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0057_line.html | chart_0057_line_q1 | label/Chart.js/line/chart_0057_line.json | question_answer/Chart.js/line/PreQA/chart_0057_line_q1.json | In Dataset 1, which month has the highest value and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0057_line_q1.json |
There are 3 months with negative values (January, February, April) and 4 months with positive values (March, May, June, July). | chart_0057_line | web/Chart.js/line/chart_0057_line.html | Chart.js | line | /web/Chart.js/line/chart_0057_line.html | dynamic_chart | There are 3 months with negative values (January, February, April) and 4 months with positive values (March, May, June, July). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0057_line.html | chart_0057_line_q2 | label/Chart.js/line/chart_0057_line.json | question_answer/Chart.js/line/PreQA/chart_0057_line_q2.json | Across all months in Dataset 1, how many months have negative values and how many have positive values? | q2 | evaluation_examples/examples/chart_data/chart_0057_line_q2.json |
The value increases by 122.43998628 from February (−68.86574074) to March (53.57424554). | chart_0057_line | web/Chart.js/line/chart_0057_line.html | Chart.js | line | /web/Chart.js/line/chart_0057_line.html | dynamic_chart | The value increases by 122.43998628 from February (−68.86574074) to March (53.57424554). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0057_line.html | chart_0057_line_q3 | label/Chart.js/line/chart_0057_line.json | question_answer/Chart.js/line/PreQA/chart_0057_line_q3.json | In Dataset 1, by how much does the value change from February to March? | q3 | evaluation_examples/examples/chart_data/chart_0057_line_q3.json |
The largest difference occurs in February, where Dataset 2 exceeds Dataset 1 by approximately 171.9976 units. | chart_0058_line | web/Chart.js/line/chart_0058_line.html | Chart.js | line | /web/Chart.js/line/chart_0058_line.html | dynamic_chart | The largest difference occurs in February, where Dataset 2 exceeds Dataset 1 by approximately 171.9976 units. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0058_line.html | chart_0058_line_q1 | label/Chart.js/line/chart_0058_line.json | question_answer/Chart.js/line/PreQA/chart_0058_line_q1.json | In which month is the difference between Dataset 2 and Dataset 1 the largest, and what is that difference (Dataset 2 minus Dataset 1)? | q1 | evaluation_examples/examples/chart_data/chart_0058_line_q1.json |
The value of Dataset 1 in May is 88.73628258. | chart_0058_line | web/Chart.js/line/chart_0058_line.html | Chart.js | line | /web/Chart.js/line/chart_0058_line.html | dynamic_chart | The value of Dataset 1 in May is 88.73628258. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0058_line.html | chart_0058_line_q2 | label/Chart.js/line/chart_0058_line.json | question_answer/Chart.js/line/PreQA/chart_0058_line_q2.json | What is the data value of Dataset 1 in May? | q2 | evaluation_examples/examples/chart_data/chart_0058_line_q2.json |
Dataset 1 increases the most between April and May, by approximately 186.33 units. | chart_0058_line | web/Chart.js/line/chart_0058_line.html | Chart.js | line | /web/Chart.js/line/chart_0058_line.html | dynamic_chart | Dataset 1 increases the most between April and May, by approximately 186.33 units. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0058_line.html | chart_0058_line_q3 | label/Chart.js/line/chart_0058_line.json | question_answer/Chart.js/line/PreQA/chart_0058_line_q3.json | Between which consecutive months does Dataset 1 have its greatest increase, and by approximately how much does it increase? | q3 | evaluation_examples/examples/chart_data/chart_0058_line_q3.json |
Dataset 1 reaches its highest value in February, with a value of 85.76903292. | chart_0059_line | web/Chart.js/line/chart_0059_line.html | Chart.js | line | /web/Chart.js/line/chart_0059_line.html | dynamic_chart | Dataset 1 reaches its highest value in February, with a value of 85.76903292. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0059_line.html | chart_0059_line_q1 | label/Chart.js/line/chart_0059_line.json | question_answer/Chart.js/line/PreQA/chart_0059_line_q1.json | For Dataset 1, in which month does it reach its highest value, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0059_line_q1.json |
In July, Dataset 2 has the larger value, exceeding Dataset 1 by 99.26097394 units (62.45627572 minus -36.80469822). | chart_0059_line | web/Chart.js/line/chart_0059_line.html | Chart.js | line | /web/Chart.js/line/chart_0059_line.html | dynamic_chart | In July, Dataset 2 has the larger value, exceeding Dataset 1 by 99.26097394 units (62.45627572 minus -36.80469822). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0059_line.html | chart_0059_line_q2 | label/Chart.js/line/chart_0059_line.json | question_answer/Chart.js/line/PreQA/chart_0059_line_q2.json | In July, which dataset has the larger value, and by how many units does it exceed the other? | q2 | evaluation_examples/examples/chart_data/chart_0059_line_q2.json |
Dataset 2 increases by 123.91632373 units from March (-61.46004801) to July (62.45627572). | chart_0059_line | web/Chart.js/line/chart_0059_line.html | Chart.js | line | /web/Chart.js/line/chart_0059_line.html | dynamic_chart | Dataset 2 increases by 123.91632373 units from March (-61.46004801) to July (62.45627572). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0059_line.html | chart_0059_line_q3 | label/Chart.js/line/chart_0059_line.json | question_answer/Chart.js/line/PreQA/chart_0059_line_q3.json | By how much does Dataset 2 increase from March to July? | q3 | evaluation_examples/examples/chart_data/chart_0059_line_q3.json |
The y-value at x = 50 (106.9440586419753) is higher than at x = 60 (89.2048611111111) by 17.7391975308642 units. | chart_0060_line | web/Chart.js/line/chart_0060_line.html | Chart.js | line | /web/Chart.js/line/chart_0060_line.html | dynamic_chart | The y-value at x = 50 (106.9440586419753) is higher than at x = 60 (89.2048611111111) by 17.7391975308642 units. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0060_line.html | chart_0060_line_q2 | label/Chart.js/line/chart_0060_line.json | question_answer/Chart.js/line/PreQA/chart_0060_line_q2.json | Is the y-value at x = 50 higher or lower than at x = 60 in series 1, and by how many units? | q2 | evaluation_examples/examples/chart_data/chart_0060_line_q2.json |
From smallest to largest y-value: x = 230 (42.40702160493831), x = 240 (49.51350308641978), x = 250 (53.679312414266136). | chart_0060_line | web/Chart.js/line/chart_0060_line.html | Chart.js | line | /web/Chart.js/line/chart_0060_line.html | dynamic_chart | From smallest to largest y-value: x = 230 (42.40702160493831), x = 240 (49.51350308641978), x = 250 (53.679312414266136). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0060_line.html | chart_0060_line_q3 | label/Chart.js/line/chart_0060_line.json | question_answer/Chart.js/line/PreQA/chart_0060_line_q3.json | For x = 230, 240, and 250, order their y-values from smallest to largest. | q3 | evaluation_examples/examples/chart_data/chart_0060_line_q3.json |
June has the highest value, which is 72.6. | chart_0061_line | web/Chart.js/line/chart_0061_line.html | Chart.js | line | /web/Chart.js/line/chart_0061_line.html | dynamic_chart | June has the highest value, which is 72.6. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0061_line.html | chart_0061_line_q1 | label/Chart.js/line/chart_0061_line.json | question_answer/Chart.js/line/PreQA/chart_0061_line_q1.json | Which month has the highest data value, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0061_line_q1.json |
The largest increase is from May to June, with an increase of 141.27 units (from -68.67 to 72.6). | chart_0061_line | web/Chart.js/line/chart_0061_line.html | Chart.js | line | /web/Chart.js/line/chart_0061_line.html | dynamic_chart | The largest increase is from May to June, with an increase of 141.27 units (from -68.67 to 72.6). | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0061_line.html | chart_0061_line_q2 | label/Chart.js/line/chart_0061_line.json | question_answer/Chart.js/line/PreQA/chart_0061_line_q2.json | Between which two consecutive months does the dataset show the largest increase in value, and what is the size of this increase? | q2 | evaluation_examples/examples/chart_data/chart_0061_line_q2.json |
There are 5 months with negative values, which is more than the 3 months with positive values. | chart_0061_line | web/Chart.js/line/chart_0061_line.html | Chart.js | line | /web/Chart.js/line/chart_0061_line.html | dynamic_chart | There are 5 months with negative values, which is more than the 3 months with positive values. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0061_line.html | chart_0061_line_q3 | label/Chart.js/line/chart_0061_line.json | question_answer/Chart.js/line/PreQA/chart_0061_line_q3.json | How many months have negative data values, and are there more negative months than positive months? | q3 | evaluation_examples/examples/chart_data/chart_0061_line_q3.json |
Dataset D3 reaches its highest value in August, with a value of 78.94. | chart_0062_line | web/Chart.js/line/chart_0062_line.html | Chart.js | line | /web/Chart.js/line/chart_0062_line.html | dynamic_chart | Dataset D3 reaches its highest value in August, with a value of 78.94. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0062_line.html | chart_0062_line_q1 | label/Chart.js/line/chart_0062_line.json | question_answer/Chart.js/line/PreQA/chart_0062_line_q1.json | For dataset D3, in which month does it reach its highest value, and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0062_line_q1.json |
In March, dataset D5 has the highest value, which is 65.71. | chart_0062_line | web/Chart.js/line/chart_0062_line.html | Chart.js | line | /web/Chart.js/line/chart_0062_line.html | dynamic_chart | In March, dataset D5 has the highest value, which is 65.71. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0062_line.html | chart_0062_line_q2 | label/Chart.js/line/chart_0062_line.json | question_answer/Chart.js/line/PreQA/chart_0062_line_q2.json | Among all datasets D0 through D9, which dataset has the highest value in March, and what is that value? | q2 | evaluation_examples/examples/chart_data/chart_0062_line_q2.json |
Dataset D9 decreases by 11.33 units, from 62.30 in January to 50.97 in August. | chart_0062_line | web/Chart.js/line/chart_0062_line.html | Chart.js | line | /web/Chart.js/line/chart_0062_line.html | dynamic_chart | Dataset D9 decreases by 11.33 units, from 62.30 in January to 50.97 in August. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0062_line.html | chart_0062_line_q3 | label/Chart.js/line/chart_0062_line.json | question_answer/Chart.js/line/PreQA/chart_0062_line_q3.json | By how much does the value of dataset D9 change from January to August, and is this an increase or a decrease? | q3 | evaluation_examples/examples/chart_data/chart_0062_line_q3.json |
April has the highest value in Dataset 1, with 92.46. | chart_0063_line | web/Chart.js/line/chart_0063_line.html | Chart.js | line | /web/Chart.js/line/chart_0063_line.html | dynamic_chart | April has the highest value in Dataset 1, with 92.46. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0063_line.html | chart_0063_line_q1 | label/Chart.js/line/chart_0063_line.json | question_answer/Chart.js/line/PreQA/chart_0063_line_q1.json | In Dataset 1, which month has the highest value and what is that value? | q1 | evaluation_examples/examples/chart_data/chart_0063_line_q1.json |
The largest absolute difference occurs in June, with a difference of 126.65. | chart_0063_line | web/Chart.js/line/chart_0063_line.html | Chart.js | line | /web/Chart.js/line/chart_0063_line.html | dynamic_chart | The largest absolute difference occurs in June, with a difference of 126.65. | https://huggingface.co/datasets/chartact-benchmark/ChartAct/resolve/main/web/Chart.js/line/chart_0063_line.html | chart_0063_line_q2 | label/Chart.js/line/chart_0063_line.json | question_answer/Chart.js/line/PreQA/chart_0063_line_q2.json | Across all months, in which month is the absolute difference between Dataset 1 and Dataset 2 the largest, and what is that difference? | q2 | evaluation_examples/examples/chart_data/chart_0063_line_q2.json |
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