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README.md

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----
-license: mit
----
+---
+language:
+  - de
+  - en
+  - es
+  - fr
+  - it
+  - ja
+  - ko
+  - nl
+  - pl
+  - pt
+  - zh
+license: apache-2.0
+task_categories:
+  - text-retrieval
+  - sentence-similarity
+tags:
+  - job-titles
+  - similarity
+  - multilingual
+  - ranking
+  - information-retrieval
+configs:
+- config_name: de
+  data_files:
+  - split: queries
+    path: "de/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "de/corpus-00000-of-00001.parquet"
+- config_name: en
+  data_files:
+  - split: queries
+    path: "en/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "en/corpus-00000-of-00001.parquet"
+- config_name: es
+  data_files:
+  - split: queries
+    path: "es/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "es/corpus-00000-of-00001.parquet"
+- config_name: fr
+  data_files:
+  - split: queries
+    path: "fr/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "fr/corpus-00000-of-00001.parquet"
+- config_name: it
+  data_files:
+  - split: queries
+    path: "it/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "it/corpus-00000-of-00001.parquet"
+- config_name: ja
+  data_files:
+  - split: queries
+    path: "ja/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "ja/corpus-00000-of-00001.parquet"
+- config_name: ko
+  data_files:
+  - split: queries
+    path: "ko/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "ko/corpus-00000-of-00001.parquet"
+- config_name: nl
+  data_files:
+  - split: queries
+    path: "nl/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "nl/corpus-00000-of-00001.parquet"
+- config_name: pl
+  data_files:
+  - split: queries
+    path: "pl/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "pl/corpus-00000-of-00001.parquet"
+- config_name: pt
+  data_files:
+  - split: queries
+    path: "pt/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "pt/corpus-00000-of-00001.parquet"
+- config_name: zh
+  data_files:
+  - split: queries
+    path: "zh/queries-00000-of-00001.parquet"
+  - split: corpus
+    path: "zh/corpus-00000-of-00001.parquet"
+---
+
+# Job Title Similarity Benchmark
+
+This dataset contains the **Job Title Similarity** benchmark for easy loading with
+the HuggingFace `datasets` library.
+
+## Dataset Description
+
+This benchmark provides **job title similarity** datasets in **11** different languages,
+including the English evaluation dataset used in the text ranking experiments reported
+in the paper _"Learning Job Titles Similarity from Noisy Skill Labels"_ by Zbib et al. (2022),
+as well as the translated datasets for the other languages introduced in _"Combined
+Unsupervised and Contrastive Learning for Multilingual Job Recommendations"_ by Deniz et al. (2024).
+
+### Task Overview
+
+The task involves ranking a set of job titles, given another job title as query, such that
+the resulting ranking reflects the semantic similarity of each job title to the query. This
+requires identifying the most relevant job titles based on their semantic similarity to a
+given query.
+
+### English Dataset Creation
+
+The English dataset was built by starting with 2,724 job titles (short text phrases with
+the name of an occupation). Next, a minimal pre-processing step with light clean up was
+applied. The job titles were randomly divided into two groups:
+- 105 job titles were used as queries
+- The remaining job titles were used as corpus documents
+
+Each query/document pair was labeled for binary relevance after adjudicating two independent
+human annotations. (The inter-annotator agreement for this binary relevance labels was 86%.)
+
+### Translated Datasets
+
+The translated datasets in 10 additional languages replicate the English dataset using
+Human Translation (HT) or Machine Translation (MT).
+
+**Original repository:** [https://github.com/Avature/job-title-similarity](https://github.com/Avature/job-title-similarity)
+
+## Dataset Structure
+
+Each subset (configuration) contains two splits:
+
+- **`queries`**: Query job titles with their relevant corpus element indices
+- **`corpus`**: Corpus job titles
+
+### Schema
+
+**queries split:**
+| Column | Type | Description |
+|--------|------|-------------|
+| `text` | `string` | The query job title |
+| `labels` | `list[int]` | Indices of relevant corpus job titles |
+
+**corpus split:**
+| Column | Type | Description |
+|--------|------|-------------|
+| `text` | `string` | The corpus job title |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load a specific subset
+ds = load_dataset("Avature/Job-Title-Similarity", "en")
+
+# Access the data
+query_surface_forms = ds["queries"]["text"]
+corpus_surface_forms = ds["corpus"]["text"]
+label_lists = ds["queries"]["labels"]
+
+# Example: Get relevant corpus texts for the first query
+query_idx = 0
+print(f"Query: {query_surface_forms[query_idx]}")
+print(f"Similar job titles:")
+for corpus_idx in label_lists[query_idx]:
+    print(f"  - {corpus_surface_forms[corpus_idx]}")
+```
+
+## Available Subsets
+
+| Subset | Language | Translation | Queries | Corpus | Annotations |
+|--------|----------|-------------|---------|--------|-------------|
+| `en` | English | - | 105 | 2,619 | 2,420 |
+| `de` | German | HT | 104 | 2,529 | 2,342 |
+| `es` | Spanish | MT | 104 | 2,568 | 2,378 |
+| `fr` | French | HT | 104 | 2,488 | 2,299 |
+| `it` | Italian | MT | 104 | 2,528 | 2,344 |
+| `ja` | Japanese | HT | 104 | 2,553 | 2,352 |
+| `ko` | Korean | MT | 104 | 2,542 | 2,345 |
+| `nl` | Dutch | MT | 105 | 2,538 | 2,361 |
+| `pl` | Polish | MT | 105 | 2,513 | 2,335 |
+| `pt` | Portuguese | MT | 104 | 2,523 | 2,331 |
+| `zh` | Chinese | HT | 103 | 2,513 | 2,319 |
+
+**Translation key:** HT = Human Translation, MT = Machine Translation
+
+## Citation
+
+If you use this dataset, please cite the original papers:
+
+```bibtex
+@article{zbib2022Learning,
+      title={{Learning Job Titles Similarity from Noisy Skill Labels}},
+      author={Rabih Zbib and
+              Lucas Alvarez Lacasa and
+              Federico Retyk and
+              Rus Poves and
+              Juan Aizpuru and
+              Hermenegildo Fabregat and
+              Vaidotas Šimkus and
+              Emilia García-Casademont},
+      journal={{FEAST, ECML-PKDD 2022 Workshop}},
+      year={{2022}},
+      url="https://feast-ecmlpkdd.github.io/archive/2022/papers/FEAST2022_paper_4972.pdf"
+}
+@inproceedings{deniz2024Combined,
+  title        = {Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendations},
+  author       = {Daniel Deniz and
+                  Federico Retyk and
+                  Laura García-Sardiña and
+                  Hermenegildo Fabregat and
+                  Luis Gasco and
+                  Rabih Zbib},
+  booktitle    = {Proceedings of the 4th Workshop on Recommender Systems for Human Resources
+                  (RecSys in {HR} 2024), in conjunction with the 18th {ACM} Conference on
+                  Recommender Systems},
+  year         = {2024},
+}
+```
+
+## License
+
+This dataset is licensed under the Apache 2.0 License. See the
+[LICENSE](https://github.com/Avature/jobtitlesimilarity-dataset/blob/main/LICENSE) file for more information.

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