Update README.md

fixed a few typos


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<details>
<summary>Show benchmarks</summary>

PyArrow==8.0.0

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.006757 / 0.011353 (-0.004596) | 0.004233 / 0.011008 (-0.006775) | 0.084123 / 0.038508 (0.045614) | 0.077513 / 0.023109 (0.054404) | 0.357024 / 0.275898 (0.081126) | 0.392956 / 0.323480 (0.069476) | 0.005408 / 0.007986 (-0.002577) | 0.003363 / 0.004328 (-0.000966) | 0.064395 / 0.004250 (0.060145) | 0.054711 / 0.037052 (0.017659) | 0.367287 / 0.258489 (0.108798) | 0.402934 / 0.293841 (0.109093) | 0.031845 / 0.128546 (-0.096701) | 0.008646 / 0.075646 (-0.067000) | 0.288740 / 0.419271 (-0.130531) | 0.053171 / 0.043533 (0.009638) | 0.360711 / 0.255139 (0.105572) | 0.388707 / 0.283200 (0.105507) | 0.025321 / 0.141683 (-0.116361) | 1.500684 / 1.452155 (0.048529) | 1.585747 / 1.492716 (0.093030) |

### Benchmark: benchmark_getitem\_100B.json

| metric | get_batch_of\_1024\_random_rows | get_batch_of\_1024\_rows | get_first_row | get_last_row |
|--------|---|---|---|---|
| new / old (diff) | 0.207329 / 0.018006 (0.189323) | 0.465304 / 0.000490 (0.464814) | 0.003229 / 0.000200 (0.003029) | 0.000080 / 0.000054 (0.000025) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.028752 / 0.037411 (-0.008659) | 0.085327 / 0.014526 (0.070802) | 0.332210 / 0.176557 (0.155653) | 0.178779 / 0.737135 (-0.558356) | 0.097765 / 0.296338 (-0.198573) |

### Benchmark: benchmark_iterating.json

| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.403710 / 0.215209 (0.188501) | 4.027069 / 2.077655 (1.949414) | 2.053451 / 1.504120 (0.549331) | 1.906647 / 1.541195 (0.365452) | 1.992507 / 1.468490 (0.524017) | 0.490203 / 4.584777 (-4.094574) | 3.696569 / 3.745712 (-0.049143) | 3.319919 / 5.269862 (-1.949943) | 2.072794 / 4.565676 (-2.492883) | 0.057893 / 0.424275 (-0.366383) | 0.007723 / 0.007607 (0.000116) | 0.485400 / 0.226044 (0.259355) | 4.842891 / 2.268929 (2.573963) | 2.578949 / 55.444624 (-52.865675) | 2.229217 / 6.876477 (-4.647259) | 2.468017 / 2.142072 (0.325945) | 0.595236 / 4.805227 (-4.209992) | 0.135641 / 6.500664 (-6.365023) | 0.061232 / 0.075469 (-0.014237) |

### Benchmark: benchmark_map_filter.json

| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |
|--------|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 1.307059 / 1.841788 (-0.534729) | 20.108581 / 8.074308 (12.034273) | 14.438985 / 10.191392 (4.247593) | 0.168878 / 0.680424 (-0.511545) | 0.018208 / 0.534201 (-0.515993) | 0.395986 / 0.579283 (-0.183297) | 0.427440 / 0.434364 (-0.006924) | 0.459917 / 0.540337 (-0.080421) | 0.631379 / 1.386936 (-0.755557) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### Benchmark: benchmark_array_xd.json

| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.007002 / 0.011353 (-0.004351) | 0.004120 / 0.011008 (-0.006888) | 0.064817 / 0.038508 (0.026309) | 0.081297 / 0.023109 (0.058188) | 0.405598 / 0.275898 (0.129700) | 0.442360 / 0.323480 (0.118880) | 0.005475 / 0.007986 (-0.002511) | 0.003483 / 0.004328 (-0.000845) | 0.064750 / 0.004250 (0.060499) | 0.058111 / 0.037052 (0.021059) | 0.410154 / 0.258489 (0.151665) | 0.445137 / 0.293841 (0.151296) | 0.033314 / 0.128546 (-0.095232) | 0.008747 / 0.075646 (-0.066899) | 0.071595 / 0.419271 (-0.347676) | 0.048894 / 0.043533 (0.005361) | 0.409162 / 0.255139 (0.154023) | 0.428877 / 0.283200 (0.145677) | 0.024127 / 0.141683 (-0.117556) | 1.521369 / 1.452155 (0.069214) | 1.573505 / 1.492716 (0.080789) |

### Benchmark: benchmark_getitem\_100B.json

| metric | get_batch_of\_1024\_random_rows | get_batch_of\_1024\_rows | get_first_row | get_last_row |
|--------|---|---|---|---|
| new / old (diff) | 0.233199 / 0.018006 (0.215193) | 0.455619 / 0.000490 (0.455129) | 0.003688 / 0.000200 (0.003488) | 0.000081 / 0.000054 (0.000027) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033186 / 0.037411 (-0.004225) | 0.100528 / 0.014526 (0.086003) | 0.105617 / 0.176557 (-0.070940) | 0.159437 / 0.737135 (-0.577698) | 0.108064 / 0.296338 (-0.188274) |

### Benchmark: benchmark_iterating.json

| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |
|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 0.435509 / 0.215209 (0.220300) | 4.339920 / 2.077655 (2.262265) | 2.368983 / 1.504120 (0.864863) | 2.211761 / 1.541195 (0.670566) | 2.301701 / 1.468490 (0.833211) | 0.495144 / 4.584777 (-4.089633) | 3.768882 / 3.745712 (0.023170) | 3.348940 / 5.269862 (-1.920922) | 2.081142 / 4.565676 (-2.484534) | 0.058184 / 0.424275 (-0.366091) | 0.007597 / 0.007607 (-0.000010) | 0.508806 / 0.226044 (0.282762) | 5.089226 / 2.268929 (2.820297) | 2.851930 / 55.444624 (-52.592694) | 2.512144 / 6.876477 (-4.364332) | 2.724461 / 2.142072 (0.582388) | 0.593446 / 4.805227 (-4.211781) | 0.134908 / 6.500664 (-6.365756) | 0.060811 / 0.075469 (-0.014658) |

### Benchmark: benchmark_map_filter.json

| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |
|--------|---|---|---|---|---|---|---|---|---|
| new / old (diff) | 1.362279 / 1.841788 (-0.479508) | 20.548216 / 8.074308 (12.473908) | 15.179181 / 10.191392 (4.987789) | 0.170249 / 0.680424 (-0.510175) | 0.020772 / 0.534201 (-0.513429) | 0.398737 / 0.579283 (-0.180546) | 0.441487 / 0.434364 (0.007124) | 0.480096 / 0.540337 (-0.060242) | 0.645825 / 1.386936 (-0.741111) |

</details>
</details>

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