File size: 17,282 Bytes
4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb 4c46087 01004cb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 |
---
language:
- bg
- cs
- da
- de
- en
- es
- et
- fr
- hr
- hu
- it
- lt
- lv
- nl
- no
- pl
- pt
- ro
- sk
- sl
- sv
license: mit
task_categories:
- text-retrieval
- sentence-similarity
tags:
- entity-linking
- occupations
- multilingual
- ranking
- information-retrieval
- ESCO
configs:
- config_name: aut_q_de_c_de
data_files:
- split: queries
path: aut_q_de_c_de/queries-00000-of-00001.parquet
- split: corpus
path: aut_q_de_c_de/corpus-00000-of-00001.parquet
- config_name: aut_q_de_c_en
data_files:
- split: queries
path: aut_q_de_c_en/queries-00000-of-00001.parquet
- split: corpus
path: aut_q_de_c_en/corpus-00000-of-00001.parquet
- config_name: bel_q_fr_c_en
data_files:
- split: queries
path: bel_q_fr_c_en/queries-00000-of-00001.parquet
- split: corpus
path: bel_q_fr_c_en/corpus-00000-of-00001.parquet
- config_name: bel_q_fr_c_fr
data_files:
- split: queries
path: bel_q_fr_c_fr/queries-00000-of-00001.parquet
- split: corpus
path: bel_q_fr_c_fr/corpus-00000-of-00001.parquet
- config_name: bel_q_nl_c_en
data_files:
- split: queries
path: bel_q_nl_c_en/queries-00000-of-00001.parquet
- split: corpus
path: bel_q_nl_c_en/corpus-00000-of-00001.parquet
- config_name: bel_q_nl_c_nl
data_files:
- split: queries
path: bel_q_nl_c_nl/queries-00000-of-00001.parquet
- split: corpus
path: bel_q_nl_c_nl/corpus-00000-of-00001.parquet
- config_name: bgr_q_bg_c_bg
data_files:
- split: queries
path: bgr_q_bg_c_bg/queries-00000-of-00001.parquet
- split: corpus
path: bgr_q_bg_c_bg/corpus-00000-of-00001.parquet
- config_name: bgr_q_bg_c_en
data_files:
- split: queries
path: bgr_q_bg_c_en/queries-00000-of-00001.parquet
- split: corpus
path: bgr_q_bg_c_en/corpus-00000-of-00001.parquet
- config_name: cze_q_cs_c_cs
data_files:
- split: queries
path: cze_q_cs_c_cs/queries-00000-of-00001.parquet
- split: corpus
path: cze_q_cs_c_cs/corpus-00000-of-00001.parquet
- config_name: cze_q_cs_c_en
data_files:
- split: queries
path: cze_q_cs_c_en/queries-00000-of-00001.parquet
- split: corpus
path: cze_q_cs_c_en/corpus-00000-of-00001.parquet
- config_name: deu_q_de_c_de
data_files:
- split: queries
path: deu_q_de_c_de/queries-00000-of-00001.parquet
- split: corpus
path: deu_q_de_c_de/corpus-00000-of-00001.parquet
- config_name: deu_q_de_c_en
data_files:
- split: queries
path: deu_q_de_c_en/queries-00000-of-00001.parquet
- split: corpus
path: deu_q_de_c_en/corpus-00000-of-00001.parquet
- config_name: dnk_q_da_c_da
data_files:
- split: queries
path: dnk_q_da_c_da/queries-00000-of-00001.parquet
- split: corpus
path: dnk_q_da_c_da/corpus-00000-of-00001.parquet
- config_name: dnk_q_da_c_en
data_files:
- split: queries
path: dnk_q_da_c_en/queries-00000-of-00001.parquet
- split: corpus
path: dnk_q_da_c_en/corpus-00000-of-00001.parquet
- config_name: esp_q_es_c_en
data_files:
- split: queries
path: esp_q_es_c_en/queries-00000-of-00001.parquet
- split: corpus
path: esp_q_es_c_en/corpus-00000-of-00001.parquet
- config_name: esp_q_es_c_es
data_files:
- split: queries
path: esp_q_es_c_es/queries-00000-of-00001.parquet
- split: corpus
path: esp_q_es_c_es/corpus-00000-of-00001.parquet
- config_name: est_q_et_c_en
data_files:
- split: queries
path: est_q_et_c_en/queries-00000-of-00001.parquet
- split: corpus
path: est_q_et_c_en/corpus-00000-of-00001.parquet
- config_name: est_q_et_c_et
data_files:
- split: queries
path: est_q_et_c_et/queries-00000-of-00001.parquet
- split: corpus
path: est_q_et_c_et/corpus-00000-of-00001.parquet
- config_name: fra_q_fr_c_en
data_files:
- split: queries
path: fra_q_fr_c_en/queries-00000-of-00001.parquet
- split: corpus
path: fra_q_fr_c_en/corpus-00000-of-00001.parquet
- config_name: fra_q_fr_c_fr
data_files:
- split: queries
path: fra_q_fr_c_fr/queries-00000-of-00001.parquet
- split: corpus
path: fra_q_fr_c_fr/corpus-00000-of-00001.parquet
- config_name: hrv_q_hr_c_en
data_files:
- split: queries
path: hrv_q_hr_c_en/queries-00000-of-00001.parquet
- split: corpus
path: hrv_q_hr_c_en/corpus-00000-of-00001.parquet
- config_name: hrv_q_hr_c_hr
data_files:
- split: queries
path: hrv_q_hr_c_hr/queries-00000-of-00001.parquet
- split: corpus
path: hrv_q_hr_c_hr/corpus-00000-of-00001.parquet
- config_name: hun_q_hu_c_en
data_files:
- split: queries
path: hun_q_hu_c_en/queries-00000-of-00001.parquet
- split: corpus
path: hun_q_hu_c_en/corpus-00000-of-00001.parquet
- config_name: hun_q_hu_c_hu
data_files:
- split: queries
path: hun_q_hu_c_hu/queries-00000-of-00001.parquet
- split: corpus
path: hun_q_hu_c_hu/corpus-00000-of-00001.parquet
- config_name: ita_q_it_c_en
data_files:
- split: queries
path: ita_q_it_c_en/queries-00000-of-00001.parquet
- split: corpus
path: ita_q_it_c_en/corpus-00000-of-00001.parquet
- config_name: ita_q_it_c_it
data_files:
- split: queries
path: ita_q_it_c_it/queries-00000-of-00001.parquet
- split: corpus
path: ita_q_it_c_it/corpus-00000-of-00001.parquet
- config_name: ltu_q_lt_c_en
data_files:
- split: queries
path: ltu_q_lt_c_en/queries-00000-of-00001.parquet
- split: corpus
path: ltu_q_lt_c_en/corpus-00000-of-00001.parquet
- config_name: ltu_q_lt_c_lt
data_files:
- split: queries
path: ltu_q_lt_c_lt/queries-00000-of-00001.parquet
- split: corpus
path: ltu_q_lt_c_lt/corpus-00000-of-00001.parquet
- config_name: lva_q_lv_c_en
data_files:
- split: queries
path: lva_q_lv_c_en/queries-00000-of-00001.parquet
- split: corpus
path: lva_q_lv_c_en/corpus-00000-of-00001.parquet
- config_name: lva_q_lv_c_lv
data_files:
- split: queries
path: lva_q_lv_c_lv/queries-00000-of-00001.parquet
- split: corpus
path: lva_q_lv_c_lv/corpus-00000-of-00001.parquet
- config_name: nld_q_nl_c_en
data_files:
- split: queries
path: nld_q_nl_c_en/queries-00000-of-00001.parquet
- split: corpus
path: nld_q_nl_c_en/corpus-00000-of-00001.parquet
- config_name: nld_q_nl_c_nl
data_files:
- split: queries
path: nld_q_nl_c_nl/queries-00000-of-00001.parquet
- split: corpus
path: nld_q_nl_c_nl/corpus-00000-of-00001.parquet
- config_name: nor_q_no_c_en
data_files:
- split: queries
path: nor_q_no_c_en/queries-00000-of-00001.parquet
- split: corpus
path: nor_q_no_c_en/corpus-00000-of-00001.parquet
- config_name: nor_q_no_c_no
data_files:
- split: queries
path: nor_q_no_c_no/queries-00000-of-00001.parquet
- split: corpus
path: nor_q_no_c_no/corpus-00000-of-00001.parquet
- config_name: pol_q_pl_c_en
data_files:
- split: queries
path: pol_q_pl_c_en/queries-00000-of-00001.parquet
- split: corpus
path: pol_q_pl_c_en/corpus-00000-of-00001.parquet
- config_name: pol_q_pl_c_pl
data_files:
- split: queries
path: pol_q_pl_c_pl/queries-00000-of-00001.parquet
- split: corpus
path: pol_q_pl_c_pl/corpus-00000-of-00001.parquet
- config_name: prt_q_pt_c_en
data_files:
- split: queries
path: prt_q_pt_c_en/queries-00000-of-00001.parquet
- split: corpus
path: prt_q_pt_c_en/corpus-00000-of-00001.parquet
- config_name: prt_q_pt_c_pt
data_files:
- split: queries
path: prt_q_pt_c_pt/queries-00000-of-00001.parquet
- split: corpus
path: prt_q_pt_c_pt/corpus-00000-of-00001.parquet
- config_name: rou_q_ro_c_en
data_files:
- split: queries
path: rou_q_ro_c_en/queries-00000-of-00001.parquet
- split: corpus
path: rou_q_ro_c_en/corpus-00000-of-00001.parquet
- config_name: rou_q_ro_c_ro
data_files:
- split: queries
path: rou_q_ro_c_ro/queries-00000-of-00001.parquet
- split: corpus
path: rou_q_ro_c_ro/corpus-00000-of-00001.parquet
- config_name: svk_q_sk_c_en
data_files:
- split: queries
path: svk_q_sk_c_en/queries-00000-of-00001.parquet
- split: corpus
path: svk_q_sk_c_en/corpus-00000-of-00001.parquet
- config_name: svk_q_sk_c_sk
data_files:
- split: queries
path: svk_q_sk_c_sk/queries-00000-of-00001.parquet
- split: corpus
path: svk_q_sk_c_sk/corpus-00000-of-00001.parquet
- config_name: svn_q_sl_c_en
data_files:
- split: queries
path: svn_q_sl_c_en/queries-00000-of-00001.parquet
- split: corpus
path: svn_q_sl_c_en/corpus-00000-of-00001.parquet
- config_name: svn_q_sl_c_sl
data_files:
- split: queries
path: svn_q_sl_c_sl/queries-00000-of-00001.parquet
- split: corpus
path: svn_q_sl_c_sl/corpus-00000-of-00001.parquet
- config_name: swe_q_sv_c_en
data_files:
- split: queries
path: swe_q_sv_c_en/queries-00000-of-00001.parquet
- split: corpus
path: swe_q_sv_c_en/corpus-00000-of-00001.parquet
- config_name: swe_q_sv_c_sv
data_files:
- split: queries
path: swe_q_sv_c_sv/queries-00000-of-00001.parquet
- split: corpus
path: swe_q_sv_c_sv/corpus-00000-of-00001.parquet
- config_name: usa_q_en_c_de_en_es_fr_it_nl_pl_pt
data_files:
- split: queries
path: usa_q_en_c_de_en_es_fr_it_nl_pl_pt/queries-00000-of-00001.parquet
- split: corpus
path: usa_q_en_c_de_en_es_fr_it_nl_pl_pt/corpus-00000-of-00001.parquet
- config_name: usa_q_en_c_en
data_files:
- split: queries
path: usa_q_en_c_en/queries-00000-of-00001.parquet
- split: corpus
path: usa_q_en_c_en/corpus-00000-of-00001.parquet
---
# MELO Benchmark
This dataset contains the **Multilingual Entity Linking of Occupations (MELO) Benchmark**
for easy loading with the HuggingFace `datasets` library.
## Dataset Description
MELO is a collection of 48 datasets for evaluating the linking of entity mentions in
21 languages to the ESCO Occupations multilingual taxonomy. It was built using
high-quality, pre-existent human annotations.
**Original paper abstract:**
> We present the Multilingual Entity Linking of Occupations (MELO) Benchmark, a new
> collection of 48 datasets for evaluating the linking of entity mentions in 21 languages
> to the ESCO Occupations multilingual taxonomy. MELO was built using high-quality,
> pre-existent human annotations. We conduct experiments with simple lexical models and
> general-purpose sentence encoders, evaluated as bi-encoders in a zero-shot setup, to
> establish baselines for future research.
**Original repository:** [https://github.com/Avature/melo-benchmark](https://github.com/Avature/melo-benchmark)
## Dataset Structure
Each subset (configuration) contains two splits:
- **`queries`**: Query texts with their relevant corpus element indices
- **`corpus`**: Corpus element texts
### Schema
**queries split:**
| Column | Type | Description |
|--------|------|-------------|
| `text` | `string` | The query surface form |
| `labels` | `list[int]` | Indices of relevant corpus elements |
**corpus split:**
| Column | Type | Description |
|--------|------|-------------|
| `text` | `string` | The corpus element surface form |
## Usage
```python
from datasets import load_dataset
# Load a specific subset
ds = load_dataset("federetyk/MELO-Benchmark", "ita_q_it_c_it")
# 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"Relevant corpus elements:")
for corpus_idx in label_lists[query_idx]:
print(f" - {corpus_surface_forms[corpus_idx]}")
```
## Available Subsets
The subset names follow the pattern: `{country}_q_{query_lang}_c_{corpus_lang(s)}`
| Subset ID | Task Name | Source Taxonomy | Query Lang | # Queries | Target Taxonomy | Corpus Lang | # Corpus |
|-----------|-----------|-----------------|------------|-----------|-----------------|-------------|----------|
| `usa_q_en_c_en` | USA-en-en | O*NET | en | 633 | ESCO v1.1.0 | en | 33,813 |
| `usa_q_en_c_de_en_es_fr_it_nl_pl_pt` | USA-en-xx † | O*NET | en | 633 | ESCO v1.1.0 | xx | 150,140 |
| `aut_q_de_c_de` | AUT-de-de | Austria | de | 1,120 | ESCO v1.1.0 | de | 19,782 |
| `aut_q_de_c_en` | AUT-de-en | Austria | de | 1,120 | ESCO v1.1.0 | en | 33,813 |
| `bel_q_fr_c_fr` | BEL-fr-fr | Belgium | fr | 328 | ESCO v1.0.3 | fr | 15,227 |
| `bel_q_fr_c_en` | BEL-fr-en | Belgium | fr | 328 | ESCO v1.0.3 | en | 33,609 |
| `bel_q_nl_c_nl` | BEL-nl-nl | Belgium | nl | 328 | ESCO v1.0.3 | nl | 24,070 |
| `bel_q_nl_c_en` | BEL-nl-en | Belgium | nl | 328 | ESCO v1.0.3 | en | 33,609 |
| `bgr_q_bg_c_bg` | BGR-bg-bg | Bulgaria | bg | 4,438 | ESCO v1.0.3 | bg | 21,082 |
| `bgr_q_bg_c_en` | BGR-bg-en | Bulgaria | bg | 4,438 | ESCO v1.0.3 | en | 33,609 |
| `cze_q_cs_c_cs` | CZE-cs-cs | Czechia | cs | 988 | ESCO v1.0.9 | cs | 13,333 |
| `cze_q_cs_c_en` | CZE-cs-en | Czechia | cs | 988 | ESCO v1.0.9 | en | 33,583 |
| `deu_q_de_c_de` | DEU-de-de | Germany | de | 1,779 | ESCO v1.0.3 | de | 19,135 |
| `deu_q_de_c_en` | DEU-de-en | Germany | de | 1,779 | ESCO v1.0.3 | en | 33,609 |
| `dnk_q_da_c_da` | DNK-da-da | Denmark | da | 734 | ESCO v1.0.8 | da | 10,410 |
| `dnk_q_da_c_en` | DNK-da-en | Denmark | da | 734 | ESCO v1.0.8 | en | 33,583 |
| `esp_q_es_c_es` | ESP-es-es | Spain | es | 1,580 | ESCO v1.0.8 | es | 16,502 |
| `esp_q_es_c_en` | ESP-es-en | Spain | es | 1,580 | ESCO v1.0.8 | en | 33,583 |
| `est_q_et_c_et` | EST-et-et | Estonia | et | 1,068 | ESCO v1.0.8 | et | 4,956 |
| `est_q_et_c_en` | EST-et-en | Estonia | et | 1,068 | ESCO v1.0.8 | en | 33,583 |
| `fra_q_fr_c_fr` | FRA-fr-fr | France | fr | 1,435 | ESCO v1.0.9 | fr | 15,217 |
| `fra_q_fr_c_en` | FRA-fr-en | France | fr | 1,435 | ESCO v1.0.9 | en | 33,583 |
| `hrv_q_hr_c_hr` | HRV-hr-hr | Croatia | hr | 2,347 | ESCO v1.0.3 | hr | 17,390 |
| `hrv_q_hr_c_en` | HRV-hr-en | Croatia | hr | 2,347 | ESCO v1.0.3 | en | 33,609 |
| `hun_q_hu_c_hu` | HUN-hu-hu | Hungary | hu | 362 | ESCO v1.0.8 | hu | 16,923 |
| `hun_q_hu_c_en` | HUN-hu-en | Hungary | hu | 362 | ESCO v1.0.8 | en | 33,583 |
| `ita_q_it_c_it` | ITA-it-it | Italy | it | 362 | ESCO v1.0.8 | it | 16,199 |
| `ita_q_it_c_en` | ITA-it-en | Italy | it | 362 | ESCO v1.0.8 | en | 33,583 |
| `ltu_q_lt_c_lt` | LTU-lt-lt | Lithuania | lt | 3,849 | ESCO v1.0.8 | lt | 17,824 |
| `ltu_q_lt_c_en` | LTU-lt-en | Lithuania | lt | 3,849 | ESCO v1.0.8 | en | 33,583 |
| `lva_q_lv_c_lv` | LVA-lv-lv | Latvia | lv | 3,251 | ESCO v1.0.8 | lv | 9,733 |
| `lva_q_lv_c_en` | LVA-lv-en | Latvia | lv | 3,251 | ESCO v1.0.8 | en | 33,583 |
| `nld_q_nl_c_nl` | NLD-nl-nl | Netherlands | nl | 2,605 | ESCO v1.0.3 | nl | 24,070 |
| `nld_q_nl_c_en` | NLD-nl-en | Netherlands | nl | 2,605 | ESCO v1.0.3 | en | 33,609 |
| `nor_q_no_c_no` | NOR-no-no | Norway | no | 96 | ESCO v1.0.8 | no | 7,821 |
| `nor_q_no_c_en` | NOR-no-en | Norway | no | 96 | ESCO v1.0.8 | en | 33,583 |
| `pol_q_pl_c_pl` | POL-pl-pl | Poland | pl | 1,937 | ESCO v1.0.3 | pl | 8,879 |
| `pol_q_pl_c_en` | POL-pl-en | Poland | pl | 1,937 | ESCO v1.0.3 | en | 33,609 |
| `prt_q_pt_c_pt` | PRT-pt-pt | Portugal | pt | 379 | ESCO v1.0.3 | pt | 11,671 |
| `prt_q_pt_c_en` | PRT-pt-en | Portugal | pt | 379 | ESCO v1.0.3 | en | 33,609 |
| `rou_q_ro_c_ro` | ROU-ro-ro | Romania | ro | 3,273 | ESCO v1.0.8 | ro | 14,833 |
| `rou_q_ro_c_en` | ROU-ro-en | Romania | ro | 3,273 | ESCO v1.0.8 | en | 33,583 |
| `svk_q_sk_c_sk` | SVK-sk-sk | Slovakia | sk | 2,040 | ESCO v1.0.8 | sk | 12,899 |
| `svk_q_sk_c_en` | SVK-sk-en | Slovakia | sk | 2,040 | ESCO v1.0.8 | en | 33,583 |
| `svn_q_sl_c_sl` | SVN-sl-sl | Slovenia | sl | 3,222 | ESCO v1.0.8 | sl | 15,487 |
| `svn_q_sl_c_en` | SVN-sl-en | Slovenia | sl | 3,222 | ESCO v1.0.8 | en | 33,583 |
| `swe_q_sv_c_sv` | SWE-sv-sv | Sweden | sv | 2,883 | ESCO v1.1.1 | sv | 7,506 |
| `swe_q_sv_c_en` | SWE-sv-en | Sweden | sv | 2,883 | ESCO v1.1.1 | en | 33,802 |
† The `usa_q_en_c_de_en_es_fr_it_nl_pl_pt` subset contains a multilingual corpus with texts in German, English, Spanish, French, Italian, Dutch, Polish, and Portuguese.
## Subset Naming Convention
- `{country}`: ISO 3166-1 alpha-3 country code (e.g., `ita` for Italy, `usa` for USA)
- `q_{lang}`: Query language (ISO 639-1 code)
- `c_{lang(s)}`: Corpus language(s) (one or more ISO 639-1 codes)
Examples:
- `ita_q_it_c_it`: Italian queries, Italian corpus (Italy)
- `ita_q_it_c_en`: Italian queries, English corpus (Italy)
- `usa_q_en_c_de_en_es_fr_it_nl_pl_pt`: English queries, multilingual corpus (USA)
## Citation
If you use this dataset, please cite the original MELO Benchmark paper:
```bibtex
@inproceedings{retyk2024melo,
title = {{MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations}},
author = {Federico Retyk and Luis Gasco and Casimiro Pio Carrino and Daniel Deniz 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},
url = {https://recsyshr.aau.dk/wp-content/uploads/2024/10/RecSysHR2024-paper_2.pdf},
}
```
## License
This dataset is licensed under the MIT License. See the
[LICENSE](https://github.com/Avature/melo-benchmark/blob/main/LICENSE) file for more information. |