| | --- |
| | dataset_info: |
| | features: |
| | - name: claim_id |
| | dtype: int64 |
| | - name: claim |
| | dtype: string |
| | - name: evidence |
| | dtype: string |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': SUPPORTS |
| | '1': REFUTES |
| | '2': NOT_ENOUGH_INFO |
| | - name: category |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 1467456 |
| | num_examples: 4298 |
| | - name: test |
| | num_bytes: 526276 |
| | num_examples: 1535 |
| | - name: valid |
| | num_bytes: 635174 |
| | num_examples: 1842 |
| | download_size: 1372892 |
| | dataset_size: 2628906 |
| | license: mit |
| | task_categories: |
| | - text-classification |
| | language: |
| | - en |
| | tags: |
| | - climate |
| | pretty_name: climate_fever dataset with one-to-one claim-evidence pair |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | # Dataset Card for "climate_fever_fixed" |
| |
|
| | ### Dataset Summary |
| |
|
| | This dataset was created to aid our team in developing a model to more accurately perform climate change-related fact checking. We approach this task from a perspective heavily impacted |
| | by the work of the [ClimateBERT](https://climatebert.ai/about) team. With that in mind, our team likewise leveraged a BERT Language model to solve this task. This dataset presents an |
| | edited version of the [Climate_Fever](https://huggingface.co/datasets/climate_fever) dataset, hosted by HuggingFace. Climate_Fever is composed of climate-related documents |
| | that have been annotated with labels related to fact-checking and misinformation. However, in the climate-plus project, we decided to modify the dataset to remove redundancy |
| | and keep only the essentials of a text-entailment problem: claim as the premise and evidence as the hypothesis. |
| | |
| | |
| | |
| | ### Data Fields |
| | |
| | This dataset contains 7675 records, each of which is composed of several attributes: |
| | |
| | - `claim_id`: a `integer` feature, which serves as a unique identifier for each record/row. |
| | - `claim`: a `string` feature, containes the raw text of a given climate-related claim. |
| | - `evidence`: a `string` feature, which provides free text evidence that relates to the previously established claim. |
| | - `label`: a `class label` feature representing an assigned class, where values can either be 0: "supports", 1: "refutes" and 2: "not enough info". |
| | - `category`: a `string` feature, which provides additional detail about the particular focus of a given claim. |
| |
|
| | <br> |
| | This dataset was then broken into train, test and validation sets to enable proper evaluation of our model. These splits contain the following amount of data: |
| |
|
| | - `Train`: 4300 Records |
| | - `Test`: 1540 Records |
| | - `Val`: 1840 Records |
| |
|
| | ### Source Data |
| |
|
| | This dataset represents an evolved version of the original [Climate_Fever](https://huggingface.co/datasets/climate_fever) dataset, hosted by HuggingFace. It was adapted to meet |
| | the needs of our team, as we attempted to solve a specific climate change-related task. The original dataset adopted the FEVER methodology, discussed in more detail [here](https://www.amazon.science/blog/the-fever-data-set-what-doesnt-kill-it-will-make-it-stronger). |
| | Their original dataset consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence |
| | sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. |
| |
|
| |
|
| | ### Methodology |
| |
|
| | This dataset was curated by our team to reduce redundancy and keep only the essentials of a text-entailment problem: claim as the premise and evidence as the hypothesis. |
| | For each given claim, there are multiple sentences of evidence. We decided to expand the one-to-many relation to one-to-one. |
| | This resulted in a modified version of the climate_fever dataset that includes only one evidence sentence per claim. |
| | |
| | |
| | ### Languages |
| | |
| | The text contained in the dataset is entirely in English, as found in the real-world financial disclosures identified by the TCFD. The associated BCP-47 code is [`en`](https://www.techonthenet.com/js/language_tags.php), to ensure clear labeling of language usage for downstream tasks and other future applications. |
| | |
| | [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
