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6 results for “Toxic content”
Toxic Content Detection in online social networks: a new dataset from Brazilian Reddit Communities
<p>This is new dataset of 2,500 manually annotated examples of comments extracted from the top 10 largest Brazilian subreddits on Reddit. The dataset has been annotated by crowd-sourcing efforts with contributions from the departments of computer science (DCC) and the linguistic group @ UFMG. As part of our contribution to the toxicity automatic detection and moderation of online social networks, we're making the dataset public for research.</p> <h3>Dataset</h3> <p>The dataset contains 2,500 manually annotated comments from the most popular brazilian communities on Reddit. The data sampling proccess was a stratified sampling by the number of generated publications by subreddit and the month of publication. The list of communities collected is presented below. The collected data period ranges from January 2022 to December 2022.</p> <p> </p> <table> <tbody> <tr> <td><strong>Subreddit</strong></td> <td><strong>Posts</strong></td> <td><strong>Comments</strong></td> </tr> <tr> <td>r/brasil</td> <td>110,829 </td> <td>2,136,866</td> </tr> <tr> <td>r/desabafos</td> <td>115,876</td> <td>1,211,643</td> </tr> <tr> <td>r/futebol</td> <td>35,826</td> <td>1,214,412</td> </tr> <tr> <td>r/saopaulo</td> <td>7,308</td> <td>81,969</td> </tr> <tr> <td>r/eu_nvr</td> <td>12,631</td> <td>188,620</td> </tr> <tr> <td>r/botecodoreddit</td> <td>7,059</td> <td>57,298</td> </tr> <tr> <td>r/conversas</td> <td>21,967</td> <td>326,061</td> </tr> <tr> <td>r/investimentos</td> <td>9,756</td> <td>141,823</td> </tr> <tr> <td>r/tiodopave</td> <td>2,371</td> <td>11,584</td> </tr> <tr> <td>r/brasilivre</td> <td>67,301</td> <td>1,219265</td> </tr> <tr> <td>Total</td> <td>390,924</td> <td>6,589,541</td> </tr> </tbody> </table> <p> </p> <h3><strong>Annotation proccess</strong></h3> <p>The annotators were divided into groups of raters and each group was assigned a batch of comments to label. The raters were then asked to label a comment as <strong>Toxic</strong>, <strong>Non-toxic</strong>, <strong>I do not know</strong> and <strong>Missing info</strong>. During the annotation process, the raters were encouraged to assign one of the uncertain labels when they're not sure about the toxicity of a comment or the context is missing. </p> <h3>Available data</h3> <p>The dataset is available as csv file and the label was assigned as a majority vote among the raters. The available data are the original collected comment id and body. The label was created from the original classification from the annotators. No data processing has been done on this version of the dataset. The overall schema of the dataset if presented below.</p> <p>- <strong>id</strong>: The unique identifier of the comment on the Reddit platform<br>- <strong>body</strong>: The original comment text publication<br>- <strong>is_toxic</strong>: The final label of a given comment. The label is <strong>0</strong> for non-toxic comments, <strong>1</strong> for toxic comments and <strong>-1</strong> for comments where the raters disagreed about the toxicity.</p>
Raw data for the submitted manuscript: The Influence of Soil Organic Matter Content on the Toxicity of Pesticides to the Springtail Folsomia candida
<p>Raw data obtained from toxicity tests with the springtail Folsomia candida exposed for 28 days to chlorpyrifos, lindane, cyproconazole, carbendazim and imidacloprid in artificial soils containing 10%, 5%, 2.5% sphagnum peat, and LUFA 2.2 soil. Tests were performed following OECD guideline 232. The file includes data on springtail survival and reproduction.</p>
Raw data for the manuscript: The influence of soil organic matter content and substance lipophilicity on the toxicity of pesticides to the earthworm Eisenia andrei
<p>Raw data obtained from toxicity tests with the earthworm <em>Eisenia andrei</em> exposed for 56 days to chlorpyrifos, lindane, cyproconazole, carbendazim and imidacloprid in artificial soils containing 10%, 5%, 2.5% sphagnum peat, and LUFA 2.2 soil. Tests were performed following OECD guideline 222. The file includes data on earthworm starting and ending weights, survival, and reproduction.</p>
Raw data for the manuscript: Influence of soil organic matter content on the toxicity of pesticides to soil invertebrates: A review
<p>Files containing Survival (LC50) and reproduction (EC50) data for soil invertebrates exposed to organic chemicals in different soils. The first file contains an overview of all the toxicity data used in the study. The second and third files contain the data used for the "direct comparisons" method, and the fourth and fifth files contain the data (and calculated ratios) used for the "indirect comparisons".</p>
Chlorophyll content is a sensetive indicator of silver nanoparticle toxicity in Arabidopsis thaliana
GEO Series GSE163583. Arabidopsis thaliana. 6 samples. Type: Expression profiling by high throughput sequencing.
Next-gen sequencing for miRNA content of exosomes and hepatocytes in mice with acetaminophen toxicity
GEO Series GSE77554. Mus musculus. 24 samples. Type: Non-coding RNA profiling by high throughput sequencing.
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