Datasets:
Size:
10K<n<100K
License:
| license: apache-2.0 | |
| task_categories: | |
| - question-answering | |
| - text-classification | |
| language: | |
| - en | |
| - fr | |
| - es | |
| size_categories: | |
| - 10K<n<100K | |
| tags: | |
| - climate | |
| - policy | |
| This dataset is curated by [GIZ Data Service Center](https://www.giz.de/expertise/html/63018.html). The source dataset for this | |
| comes from Internal GIZ team (IKI_Tracs) and [Climatewatchdata](https://www.climatewatchdata.org/data-explorer/historical-emissions?historical-emissions-data-sources=climate-watch&historical-emissions-gases=all-ghg&historical-emissions-regions=All%20Selected&historical-emissions-sectors=total-including-lucf%2Ctotal-including-lucf&page=1), | |
| where Climatewatch has analysed Intended nationally determined contribution (INDC), NDC and Revised/Updated NDC of the countries to answer some important questions related to Climate change. | |
| Specifications | |
| - Dataset size: ~85k | |
| - Language: English, French, Spanish | |
| # Columns | |
| - **index (type:int)**: Unique Response ID | |
| - **ResponseText (type:str)**: Annotated answer/response to query | |
| - **Alpha3 (type:str)**:country alpha-3 code (ISO 3166) | |
| - **Country (type:str)**: country name | |
| - **Document (type:str)**:Name of type of Policy document from which response is provided | |
| - **IkiInfo (type: list[dict])**: Responsetext can appear/occur as answer/response for different kind of query, therefore in that case we preserve all raw information for each occurences. | |
| Each dictionary object represents one such occurrence for response and provides all raw metadata for an occurrence.In case of None, it means | |
| the entry belongs to Climate data and not IKI Tracs data) | |
| - **CWInfo (type: list[dict])**:Responsetext can appear/occur as answer/response for different kind of query, therefore in that case we preserve all raw information for each occurences. | |
| Each dictionary object represents one such occurrence for response and provides all raw metadata for an occurrence. In case of None, it means | |
| the entry belongs to Iki tracs data and not CW) | |
| - **Source (type:list[str])**: Contains the name of source | |
| - **Target (type:list)**: Value at index 0, represents number of times ResponseText appears as 'Target', and not-Target (value at index 1 ) | |
| - **Action (type:list)**: Value at index 0, represents number of times ResponseText appears as 'Action', and not-Action (value at index 1 ) | |
| - **Policies_Plans (type:list)**: Value at index 0, represents number of times ResponseText appears as 'Policy/Plan', and not-Policy/Plan (value at index 1 ) | |
| - **Mitigation (type:list)**: Value at index 0, represents number of times ResponseText appears in reference to Mititgation and not-Mitigation (value at index 1 ) | |
| - **Adaptation (type:list)**: Value at index 0, represents number of times ResponseText appears in reference to Adaptation and not-Adaptation (value at index 1 ) | |
| - **language (type:str)**: ISO code of language of ResponseText. | |
| - **context (type:list[str])**: List of paragraphs/textchunk from the document of country which contains the ResponseText. These results are based on Okapi bm25 retriever, | |
| and hence dont represent ground truth. | |
| - **context_lang (type:str)**: ISO code of language of ResponseText. In some cases context and ResponseText are different as annotator have provided the translated response, rather than original text from document. | |
| - **matching_words(type:list[list[[words]])**:For each context, finds the matching words from ResponseText (stopwords not considered). | |
| - **response_words(type:list[words])**:Tokens/Words from ResponseText (stopwords not considered) | |
| - **context_wordcount (type:list[int])**: Number of tokens/words in each context (remember context itself is list of multiple strings, and stopwords not considered) | |
| - **strategy (type:str)**: Can take either of *small,medium,large* value. Represents the length of paragraphs/textchunk considered for finding the right context for ResponseText | |
| - | |
| "match_onresponse": [ | |
| 0.86, | |
| 0.86, | |
| 0.71 | |
| ], | |
| "candidate": [ | |
| The list of Sectors covered include: Agriculture', 'Coastal Zone', 'Cross-Cutting Area', 'Education', 'Energy', 'Environment', 'Water', 'Buildings', 'Economy-wide', 'Industries', 'Transport', 'Waste', 'Health', 'LULUCF/Forestry', 'Social Development', 'Disaster Risk Management (DRM)', 'Urban','Tourism'. | |
| Some of the important question categories pertaining to climate change(adapted from climatewatchdata) include | |
| - Sectoral Policies | |
| - Sectoral Unconditional Actions | |
| - Building on existing downstream actions | |
| - Sectoral plans | |
| - Sectoral targets | |
| - Action and priority | |
| - Adapt Now sector | |
| - Emission reduction potential | |
| - Capacity Building Needs for Sectoral Implementation | |
| - Sectoral Conditional Actions | |
| - Technology Transfer Needs for Sectoral Implementation | |
| - Conditional part of mitigation target | |
| - Capacity building needs | |
| - Technology needs | |
| - Unconditional part of mitigation target | |
| - Time frame | |
| - Emission reduction potential | |
| No answer category like 'Squad2' is not part of dataset but can be easily curated from existing examples. |