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docs: update dataset card

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  1. README.md +8 -1717
README.md CHANGED
@@ -596,1720 +596,11 @@ configs:
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  data_files:
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  - split: test
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  path: zul_Latn/test-*
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- dataset_info:
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- dtype: string
1992
- - name: answer_label
1993
- dtype: string
1994
- splits:
1995
- - name: test
1996
- num_bytes: 666365
1997
- num_examples: 900
1998
- download_size: 269717
1999
- dataset_size: 666365
2000
- - config_name: tam_Taml
2001
- features:
2002
- - name: question_id
2003
- dtype: int64
2004
- - name: text
2005
- dtype: string
2006
- - name: answer_label
2007
- dtype: string
2008
- splits:
2009
- - name: test
2010
- num_bytes: 1914597
2011
- num_examples: 900
2012
- download_size: 495231
2013
- dataset_size: 1914597
2014
- - config_name: tel_Telu
2015
- features:
2016
- - name: question_id
2017
- dtype: int64
2018
- - name: text
2019
- dtype: string
2020
- - name: answer_label
2021
- dtype: string
2022
- splits:
2023
- - name: test
2024
- num_bytes: 1636939
2025
- num_examples: 900
2026
- download_size: 469183
2027
- dataset_size: 1636939
2028
- - config_name: tgk_Cyrl
2029
- features:
2030
- - name: question_id
2031
- dtype: int64
2032
- - name: text
2033
- dtype: string
2034
- - name: answer_label
2035
- dtype: string
2036
- splits:
2037
- - name: test
2038
- num_bytes: 1216676
2039
- num_examples: 900
2040
- download_size: 413104
2041
- dataset_size: 1216676
2042
- - config_name: tgl_Latn
2043
- features:
2044
- - name: question_id
2045
- dtype: int64
2046
- - name: text
2047
- dtype: string
2048
- - name: answer_label
2049
- dtype: string
2050
- splits:
2051
- - name: test
2052
- num_bytes: 774502
2053
- num_examples: 900
2054
- download_size: 302942
2055
- dataset_size: 774502
2056
- - config_name: tha_Thai
2057
- features:
2058
- - name: question_id
2059
- dtype: int64
2060
- - name: text
2061
- dtype: string
2062
- - name: answer_label
2063
- dtype: string
2064
- splits:
2065
- - name: test
2066
- num_bytes: 1625701
2067
- num_examples: 900
2068
- download_size: 460169
2069
- dataset_size: 1625701
2070
- - config_name: tir_Ethi
2071
- features:
2072
- - name: question_id
2073
- dtype: int64
2074
- - name: text
2075
- dtype: string
2076
- - name: answer_label
2077
- dtype: string
2078
- splits:
2079
- - name: test
2080
- num_bytes: 1081563
2081
- num_examples: 900
2082
- download_size: 403314
2083
- dataset_size: 1081563
2084
- - config_name: tsn_Latn
2085
- features:
2086
- - name: question_id
2087
- dtype: int64
2088
- - name: text
2089
- dtype: string
2090
- - name: answer_label
2091
- dtype: string
2092
- splits:
2093
- - name: test
2094
- num_bytes: 777100
2095
- num_examples: 900
2096
- download_size: 314333
2097
- dataset_size: 777100
2098
- - config_name: tso_Latn
2099
- features:
2100
- - name: question_id
2101
- dtype: int64
2102
- - name: text
2103
- dtype: string
2104
- - name: answer_label
2105
- dtype: string
2106
- splits:
2107
- - name: test
2108
- num_bytes: 760263
2109
- num_examples: 900
2110
- download_size: 295407
2111
- dataset_size: 760263
2112
- - config_name: tur_Latn
2113
- features:
2114
- - name: question_id
2115
- dtype: int64
2116
- - name: text
2117
- dtype: string
2118
- - name: answer_label
2119
- dtype: string
2120
- splits:
2121
- - name: test
2122
- num_bytes: 697785
2123
- num_examples: 900
2124
- download_size: 291938
2125
- dataset_size: 697785
2126
- - config_name: ukr_Cyrl
2127
- features:
2128
- - name: question_id
2129
- dtype: int64
2130
- - name: text
2131
- dtype: string
2132
- - name: answer_label
2133
- dtype: string
2134
- splits:
2135
- - name: test
2136
- num_bytes: 1150016
2137
- num_examples: 900
2138
- download_size: 416022
2139
- dataset_size: 1150016
2140
- - config_name: urd_Arab
2141
- features:
2142
- - name: question_id
2143
- dtype: int64
2144
- - name: text
2145
- dtype: string
2146
- - name: answer_label
2147
- dtype: string
2148
- splits:
2149
- - name: test
2150
- num_bytes: 1073904
2151
- num_examples: 900
2152
- download_size: 376840
2153
- dataset_size: 1073904
2154
- - config_name: urd_Latn
2155
- features:
2156
- - name: question_id
2157
- dtype: int64
2158
- - name: text
2159
- dtype: string
2160
- - name: answer_label
2161
- dtype: string
2162
- splits:
2163
- - name: test
2164
- num_bytes: 769351
2165
- num_examples: 900
2166
- download_size: 333922
2167
- dataset_size: 769351
2168
- - config_name: uzn_Latn
2169
- features:
2170
- - name: question_id
2171
- dtype: int64
2172
- - name: text
2173
- dtype: string
2174
- - name: answer_label
2175
- dtype: string
2176
- splits:
2177
- - name: test
2178
- num_bytes: 706753
2179
- num_examples: 900
2180
- download_size: 288426
2181
- dataset_size: 706753
2182
- - config_name: vie_Latn
2183
- features:
2184
- - name: question_id
2185
- dtype: int64
2186
- - name: text
2187
- dtype: string
2188
- - name: answer_label
2189
- dtype: string
2190
- splits:
2191
- - name: test
2192
- num_bytes: 860154
2193
- num_examples: 900
2194
- download_size: 313433
2195
- dataset_size: 860154
2196
- - config_name: war_Latn
2197
- features:
2198
- - name: question_id
2199
- dtype: int64
2200
- - name: text
2201
- dtype: string
2202
- - name: answer_label
2203
- dtype: string
2204
- splits:
2205
- - name: test
2206
- num_bytes: 774696
2207
- num_examples: 900
2208
- download_size: 296085
2209
- dataset_size: 774696
2210
- - config_name: wol_Latn
2211
- features:
2212
- - name: question_id
2213
- dtype: int64
2214
- - name: text
2215
- dtype: string
2216
- - name: answer_label
2217
- dtype: string
2218
- splits:
2219
- - name: test
2220
- num_bytes: 637197
2221
- num_examples: 900
2222
- download_size: 297992
2223
- dataset_size: 637197
2224
- - config_name: xho_Latn
2225
- features:
2226
- - name: question_id
2227
- dtype: int64
2228
- - name: text
2229
- dtype: string
2230
- - name: answer_label
2231
- dtype: string
2232
- splits:
2233
- - name: test
2234
- num_bytes: 676622
2235
- num_examples: 900
2236
- download_size: 300461
2237
- dataset_size: 676622
2238
- - config_name: yor_Latn
2239
- features:
2240
- - name: question_id
2241
- dtype: int64
2242
- - name: text
2243
- dtype: string
2244
- - name: answer_label
2245
- dtype: string
2246
- splits:
2247
- - name: test
2248
- num_bytes: 771508
2249
- num_examples: 900
2250
- download_size: 330455
2251
- dataset_size: 771508
2252
- - config_name: zho_Hans
2253
- features:
2254
- - name: question_id
2255
- dtype: int64
2256
- - name: text
2257
- dtype: string
2258
- - name: answer_label
2259
- dtype: string
2260
- splits:
2261
- - name: test
2262
- num_bytes: 577441
2263
- num_examples: 900
2264
- download_size: 262171
2265
- dataset_size: 577441
2266
- - config_name: zho_Hant
2267
- features:
2268
- - name: question_id
2269
- dtype: int64
2270
- - name: text
2271
- dtype: string
2272
- - name: answer_label
2273
- dtype: string
2274
- splits:
2275
- - name: test
2276
- num_bytes: 557899
2277
- num_examples: 900
2278
- download_size: 258955
2279
- dataset_size: 557899
2280
- - config_name: zsm_Latn
2281
- features:
2282
- - name: question_id
2283
- dtype: int64
2284
- - name: text
2285
- dtype: string
2286
- - name: answer_label
2287
- dtype: string
2288
- splits:
2289
- - name: test
2290
- num_bytes: 692496
2291
- num_examples: 900
2292
- download_size: 269646
2293
- dataset_size: 692496
2294
- - config_name: zul_Latn
2295
- features:
2296
- - name: question_id
2297
- dtype: int64
2298
- - name: text
2299
- dtype: string
2300
- - name: answer_label
2301
- dtype: string
2302
- splits:
2303
- - name: test
2304
- num_bytes: 702340
2305
- num_examples: 900
2306
- download_size: 305720
2307
- dataset_size: 702340
2308
  ---
2309
  # Belebele-FTP
2310
 
2311
  A first-token-prediction (FTP) reframing of [facebook/belebele](https://huggingface.co/datasets/facebook/belebele).
2312
- Each example is a single text sequence ending in `Answer: ` so a model can predict the answer as one token (A/B/C/D).
2313
 
2314
  ## Format
2315
 
@@ -2318,11 +609,11 @@ Example (`eng_Latn`):
2318
  ```
2319
  P: <passage>
2320
  Q: <question>
2321
- A. <choice 1>
2322
- B. <choice 2>
2323
- C. <choice 3>
2324
- D. <choice 4>
2325
- Answer:
2326
  ```
2327
 
2328
  **Schema:** `question_id: int`, `text: str`, `answer_label: str` (one of `A`/`B`/`C`/`D`).
@@ -2331,13 +622,13 @@ Answer:
2331
 
2332
  ```python
2333
  ANSWER_LABELS = ["A", "B", "C", "D"]
2334
- RESPONSE_TEMPLATE = "Answer: "
2335
 
2336
  def format_ftp_example(example, idx):
2337
  passage = f"P: {example['flores_passage']}"
2338
  question = f"Q: {example['question'].strip()}"
2339
  choices_str = "\n".join(
2340
- f"{ANSWER_LABELS[i]}. {example[f'mc_answer{i + 1}']}"
2341
  for i in range(4)
2342
  )
2343
  answer_label = ANSWER_LABELS[int(example["correct_answer_num"]) - 1]
 
596
  data_files:
597
  - split: test
598
  path: zul_Latn/test-*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
599
  ---
600
  # Belebele-FTP
601
 
602
  A first-token-prediction (FTP) reframing of [facebook/belebele](https://huggingface.co/datasets/facebook/belebele).
603
+ Each example is a single text sequence ending in `Answer` (fullwidth U+FF1A, no trailing space) so a model can predict the answer as one token (A/B/C/D). Format matches lm-evaluation-harness's belebele template byte-for-byte.
604
 
605
  ## Format
606
 
 
609
  ```
610
  P: <passage>
611
  Q: <question>
612
+ A: <choice 1>
613
+ B: <choice 2>
614
+ C: <choice 3>
615
+ D: <choice 4>
616
+ Answer
617
  ```
618
 
619
  **Schema:** `question_id: int`, `text: str`, `answer_label: str` (one of `A`/`B`/`C`/`D`).
 
622
 
623
  ```python
624
  ANSWER_LABELS = ["A", "B", "C", "D"]
625
+ RESPONSE_TEMPLATE = "Answer" # fullwidth U+FF1A, no trailing space
626
 
627
  def format_ftp_example(example, idx):
628
  passage = f"P: {example['flores_passage']}"
629
  question = f"Q: {example['question'].strip()}"
630
  choices_str = "\n".join(
631
+ f"{ANSWER_LABELS[i]}: {example[f'mc_answer{i + 1}']}"
632
  for i in range(4)
633
  )
634
  answer_label = ANSWER_LABELS[int(example["correct_answer_num"]) - 1]