Search is not available for this dataset
scope_1
float64
16
62.9M
scope_2_market
float64
0
844M
scope_2_location
float64
90
60.4M
scope_3
float64
1.47k
483M
831,000
276,000
null
23,100,000
51,412.28
null
29,258.34
null
5,077
3,694
25,610
144,320
43
59
90
15,271
406,000
1,433,000
null
127,371,000
6,800,000
376,000
null
66,200,000
231
2,212
null
15,792
17,300
20,800
193,000
11,900,000
37,000,000
2,000,000
null
null
6,177
24,214
null
442,215
202,290
161,907
155,100
1,696,100
1,500,000
1,900,000
null
447,200,000
33,700,000
6,700,000
null
null
1,216
19,079
26,213
null
2,175
38,555
39,442
28,414
387,000
163,000
624,000
483,188,000
1,090,000
2,730,000
null
284,410,000
282,199
48,800
130,778
7,437,488
53,202.91
null
31,050.56
null
44,016
50,899
138,496
1,471
19,700
5,400
null
11,245,000
694,057
91,300
null
116,586,786
null
null
null
null
6,748
20,008
null
null
9,100
5,800
null
null
136,736
382,819
486,035
32,260,185
57,175,391
8,182,542
null
38,190,000
26,864
86,780
null
null
211,000
984,000
null
16,160,000
4,505,000
671,000
null
null
11,927,119
1,879,381
null
42,013,976
3,220
9,523
10,414
80,964
492,000
194,000
null
8,328,000
15,300,000
3,100,000
null
null
12,417
27,228
38,702
null
246,126
254,335
null
2,882,063
62,860,000
10,846,000
null
null
386,375
150,429
null
4,470,633
771,816
406,258
null
null
533,000
397,000
478,000
null
null
null
null
null
23,280
39,370
61,136
167,549
16
67
null
6,356
212,000
21,000
null
12,300,000
8,300,000
70,000
null
28,090,000
10,000
8,000
null
7,000
27,967
18,374
46,341
659,891
18,000
13,300
null
609,600
41,826
10,132
43,268
83,875,951
573,000
979,000
1,086,000
null
167
13,899
10,677
114,131
177,299
226,431
264,420
null
16,273,000
23,033,000
null
22,134,000
418,751
379,032
null
null
21,967
30,917
217,906
81,535
5,082
47,569
null
null
11,232
0
451,430
17,233,485
581
1,220
null
null
14,018
83,912
165,792
1,837,925
1,823,000
1,014,000
1,668,000
62,974,000
5,849
46
6,889
192,375
108,453
636,855
704,804
299,478
7,435
25,511
25,513
null
41,395
11,571
199,183
37,026
123,766
2,847,126
null
18,266,748
1,196
7,512
null
281,002
1,520,000
1,270,000
null
3,730,000
14,718
null
33,565
null
115,407
363,233
null
4,215,127
51,570,000
7,110,000
4,310,000
69,150,000
862
2
1,229
47,221
8,400,000
1,400,000
null
21,300,000
47,598
19,677
47,751
6,015
317,143
508,459
361,479
28,431,587
2,132
14,973
14,670
3,010,457
793,343
174,584
168,188
null
477,261.54
null
null
null
193,000
4,909,000
4,888,000
106,400,000
697,851
1,541,276
null
127,735,901
81,376
2,363
14,633
null
95,448
49,868
null
null
633,000
420,000
494,000
3,473,000
124,000
135,300
354,800
39,454,200
119,617
109,730
null
60,952,497
28,699
54,689
149,599
55,359
1,711,000
1,370,000
null
109,688,000
824
9,041
null
27,916
9,350,000
35,988,000
38,854,000
350,419,000
43,085
13,470
null
null
232,381
30,842
73,348
4,526,209
13,998
565,921
null
9,368,649
4,460,000
2,110,000
null
395,620,000
11,650,054.83
49,444.52
null
1,623,678.31
23,608
141,354
null
76,985
24,408
null
8,712
null
null
null
null
null
16,749
4,900
44,730
null
3,650,000
844,000,000
60,380,000
392,515,000
41,376
40,589
48,212
141,111
1,315
4,150
5,359
12,690

Dataset Card for Dataset Name

A dataset of 100 corporate sustainability reports with manually extracted scope 1, 2 and 3 greenhouse gas emission values.

Dataset Details

Dataset Description

Data about corporate greenhouse gas emissions is usually published only as part of sustainability report PDF's, which is not a machine-readable format. Interested actors have to manually extract emission data from these reports, which is a tedious and time-consuming process. An automatic information-extraction system could solve this issue.

To evaluate such information-extraction systems and to encourage research into solving this task, a dataset of sustainability reports and manually-extracted emission values is created and published.

While this dataset is intended for evaluation, the accompanying sustainability-report-emissions dataset is intended for training/finetuning models.

  • License: Open Data Commons Public Domain Dedication and License (PDDL)

Dataset Sources [optional]

Uses

The dataset is intended to be used to evaluate automatic systems to extract machine-readable greenhouse gas emission data from sustainability reports.

Dataset Structure

  • id (string): unique instance id, ex. "0012".
  • emission_year (int): the year of the extracted emissions, which is useful in reports which contain information about multiple years.
  • scope_1 (double): total scope 1 emissions in metric tonnes of CO2eq.
  • scope_2_market (double): total market-based scope 2 emissions in metric tonnes of CO2eq.
  • scope_2_location (double): total location-based scope 2 emissions in metric tonnes of CO2eq.
  • scope_3 (double): total scope 3 emissions in metric tonnes of CO2eq.
  • scope_1_page (list): set of pages containing total scope 1 emission data.
  • scope_2_market_page (list): set of pages containing total market-based scope 2 emission data.
  • scope_2_location_page (list): set of pages containing total location-based scope 2 emission data.
  • scope_3_page (list): set of pages containing total scope 1 emission data.
  • url (string): the URL to the sustainability report PDF.
  • sha256 (string): SHA-256 hash string of the report PDF to ensure the integrity of downloaded files.
  • subset (string): indication of whether the report comes from the set of Euro Stoxx 50 (eurostoxx), NYSE (nyse) or Nikkei 225 (tyo) corporations.

The remaining 15 fields contain the data for each of the 15 scope 3 emission categories.

The dataset only contains the URL to the report PDF. A helper script to download these files is provided at: https://github.com/nopperl/corporate_emission_reports/blob/main/download_documents.py.

Dataset Creation

Curation Rationale

To our knowledge, there is no publicly-available dataset containing manually extracted (self-reported) greenhouse gas emission data from sustainability reports. Hence, this dataset was collected to enable the evaluation of automatic information-extraction systems.

Source Data

The dataset is based on sustainability reports from corporations in Europe, North America and Asia.

Data Collection and Processing

To ensure geographic diversity, the sustainability reports are sourced from three sets of corporations. The first set consists of 39 corporations tracked by the Euro Stoxx 50 stock index as of 18 September 2023. Note that out of the missing 11 corporations of Euro Stoxx 50, 5 are not considered as no publicly-available sustainability reports were found and 6 are not considered it was not possible to extract unambiguous emission values. The second set is a random selection of 39 corporations listed on the New York Stock Exchange as of December 2023. The third set is a random selection of 22 corporations tracked by the Nikkei 225 index as of October 2023. Note, that this selection strategy is intentionally biased towards larger corporations due to the assumption that they have a higher likelihood of publishing sustainability reports.

For every corporation, the most recent sustainability report is downloaded from the official source. In some cases, the sustainability report is part of a larger annual report.

Sustainability reports based on the Carbon Disclosure Project or Global Reporting Initiative templates are not considered as they already follow a consistent structure.

Who are the source data producers?

The sustainability reports are produced by corporations themselves and optionally verified by third parties. Thus, they only contain self-reported emission information.

Annotations [optional]

The sustainability reports are annotated with manually-extracted emission data, which forms the main purpose of this dataset.

Annotation process

The annotation was based on the greenhouse gas emission definitions of the GHG Protocol Corporate Standard:

  • Scope 1: A reporting organization’s direct GHG emissions.
  • Scope 2: A reporting organization’s emissions associated with the generation of electricity, heating/cooling, or steam purchased for own consumption.
  • Scope 3: A reporting organization’s indirect emissions other than those covered in scope 2.

Only emission data about the reporting corporation was extracted, invidiual values for subsidiaries were ignored.

Scope 2 emissions are annoted as market-based by default if no indication about the calculation method is given in the report.

Values which could not be unambiguously extracted were noted as missing.

No automatic tools were used in the extraction process.

The extracted data is not validated by a third party or verified against other data sources.

Who are the annotators?

The data was annotated by a single person without special expertise in sustainability reporting.

Personal and Sensitive Information

The dataset contains only public information.

Bias, Risks, and Limitations

The emission information was extracted by a single non-expert. No guarantee can be given that the data is completely correct.

The dataset does not contain sustainability reports of small enterprises or non-profit organisations.

Even though some care was taken to ensure geographic diversity, the dataset does not include sustainability reports from large parts of the world.

Citation [optional]

BibTeX:

[More Information Needed]

Downloads last month
42
Edit dataset card

Space using nopperl/corporate-emission-reports 1

Collection including nopperl/corporate-emission-reports