diff --git a/benchmark/streaming/load_runbook.py b/benchmark/streaming/load_runbook.py
index ec70e1da..e1c6eede 100644
--- a/benchmark/streaming/load_runbook.py
+++ b/benchmark/streaming/load_runbook.py
@@ -30,6 +30,7 @@ def load_runbook(dataset_name, max_pts, runbook_file):
                 if entry['tags_start'] < 0 or entry ['tags_start'] >= max_pts:
                     raise Exception('Start of indices to be replaced out of range in runbook') 
                 if entry['tags_end'] < 0 or entry ['tags_end'] > max_pts:
+                    print(entry['tags_end'])
                     raise Exception('End of indices to be replaced out of range in runbook') 
                 if entry['ids_start'] < 0 or entry ['ids_start'] >= max_pts:
                     raise Exception('Start of indices to replace out of range in runbook') 
diff --git a/data_export.py b/data_export.py
index 6c24216b..79abe2a5 100644
--- a/data_export.py
+++ b/data_export.py
@@ -96,17 +96,18 @@ def cleaned_run_metric(run_metrics):
             dataset = DATASETS[dataset_name]()
             runbook_paths = [None]
             if track == 'streaming':
-                runbook_paths = ['neurips23/streaming/simple_runbook.yaml',
-                                    'neurips23/streaming/simple_replace_runbook.yaml',
-                                    'neurips23/streaming/random_replace_runbook.yaml',
-                                    'neurips23/streaming/clustered_replace_runbook.yaml',
-                                    'neurips23/streaming/clustered_runbook.yaml',
-                                    'neurips23/streaming/clustered_runbook.yaml',
-                                    'neurips23/streaming/delete_runbook.yaml',
-                                    'neurips23/streaming/final_runbook.yaml',
-                                    'neurips23/streaming/msturing-10M_slidingwindow_runbook.yaml',
-                                    'neurips23/streaming/wikipedia-35M_expirationtime_runbook.yaml',
-                                    'neurips23/streaming/msmarco-100M_expirationtime_runbook.yaml']
+                runbook_paths = ['neurips23/runbooks/streaming/simple_runbook.yaml',
+                                    'neurips23/runbooks/streaming/simple_replace_runbook.yaml',
+                                    'neurips23/runbooks/streaming/random_replace_runbook.yaml',
+                                    'neurips23/runbooks/streaming/clustered_replace_runbook.yaml',
+                                    'neurips23/runbooks/streaming/clustered_runbook.yaml',
+                                    'neurips23/runbooks/streaming/clustered_runbook.yaml',
+                                    'neurips23/runbooks/streaming/delete_runbook.yaml',
+                                    'neurips23/runbooks/streaming/final_runbook.yaml',
+                                    'neurips23/runbooks/streaming/msturing-10M_slidingwindow_runbook.yaml',
+                                    'neurips23/runbooks/streaming/wikipedia-35M_expirationtime_runbook.yaml',
+                                    'neurips23/runbooks/streaming/wikipedia-35M_expiration_time_replace_runbook.yaml',
+                                    'neurips23/runbooks/streaming/msmarco-100M_expirationtime_runbook.yaml']
             for runbook_path in runbook_paths:
                 print("Looking for runbook ", runbook_path)
                 results = load_all_results(dataset_name, neurips23track=track, runbook_path=runbook_path)
diff --git a/neurips23/README.md b/neurips23/README.md
index b6b448c2..11808816 100644
--- a/neurips23/README.md
+++ b/neurips23/README.md
@@ -46,8 +46,8 @@ The baselines were run on an Azure Standard D8lds v5 (8 vcpus, 16 GiB memory) ma
 |---------|-------------|-----------------------------|---------|
 |Sparse   | Linear Scan | 101                         |  `python3 run.py --dataset sparse-full --algorithm linscan --neurips23track sparse` |
 |Filter   | faiss       | 3200                        | `python3 run.py --dataset yfcc-10M --algorithm faiss --neurips23track filter` |
-|Streaming| DiskANN     | 0.924 (recall@10), 23 mins  |  `python3 run.py --dataset msturing-10M-clustered --algorithm diskann --neurips23track streaming --runbook_path neurips23/streaming/delete_runbook.yaml` |
-|Streaming| DiskANN     | 0.883 (recall@10), 45 mins  |  `python3 run.py --dataset msturing-30M-clustered --algorithm diskann --neurips23track streaming --runbook_path neurips23/streaming/final_runbook.yaml` |
+|Streaming| DiskANN     | 0.924 (recall@10), 23 mins  |  `python3 run.py --dataset msturing-10M-clustered --algorithm diskann --neurips23track streaming --runbook_path neurips23/runbooks/delete_runbook.yaml` |
+|Streaming| DiskANN     | 0.883 (recall@10), 45 mins  |  `python3 run.py --dataset msturing-30M-clustered --algorithm diskann --neurips23track streaming --runbook_path neurips23/runbooks/final_runbook.yaml` |
 |OOD      | DiskANN     | 4882                        | `python3 run.py --dataset text2image-10M --algorithm diskann --neurips23track ood` | 
 
 ## For_Participants
@@ -99,7 +99,7 @@ Test the benchmark and baseline using the algorithm's definition file on small t
 python run.py --neurips23track filter    --algorithm faiss   --dataset random-filter-s
 python run.py --neurips23track sparse    --algorithm linscan --dataset sparse-small
 python run.py --neurips23track ood       --algorithm diskann --dataset random-xs
-python run.py --neurips23track streaming --algorithm diskann --dataset random-xs --runbook_path neurips23/streaming/simple_runbook.yaml
+python run.py --neurips23track streaming --algorithm diskann --dataset random-xs --runbook_path neurips23/runbooks/simple_runbook.yaml
 ```
 
 For the competition dataset, run commands mentioned in the table above, for example:
@@ -108,22 +108,22 @@ python run.py --neurips23track filter    --algorithm faiss   --dataset yfcc-10M
 python run.py --neurips23track sparse    --algorithm linscan --dataset sparse-full
 python run.py --neurips23track ood       --algorithm diskann --dataset text2image-10M
 # preliminary runbook for testing 
-python run.py --neurips23track streaming --algorithm diskann --dataset msturing-10M-clustered --runbook_path neurips23/streaming/delete_runbook.yaml
+python run.py --neurips23track streaming --algorithm diskann --dataset msturing-10M-clustered --runbook_path neurips23/runbooks/delete_runbook.yaml
 #Final runbook for evaluation
-python run.py --neurips23track streaming --algorithm diskann --dataset msturing-30M-clustered --runbook_path neurips23/streaming/final_runbook.yaml
+python run.py --neurips23track streaming --algorithm diskann --dataset msturing-30M-clustered --runbook_path neurips23/runbooks/final_runbook.yaml
 ```
 
 For streaming track, runbook specifies the order of operations to be executed by the algorithms. To download the ground truth for every search operation: (needs azcopy tool in your binary path):
 ```
-python -m benchmark.streaming.download_gt --runbook_file neurips23/streaming/simple_runbook.yaml --dataset msspacev-10M
-python -m benchmark.streaming.download_gt --runbook_file neurips23/streaming/delete_runbook.yaml --dataset msturing-10M-clustered
-python -m benchmark.streaming.download_gt --runbook_file neurips23/streaming/final_runbook.yaml  --dataset msturing-30M-clustered
+python -m benchmark.streaming.download_gt --runbook_file neurips23/runbooks/simple_runbook.yaml --dataset msspacev-10M
+python -m benchmark.streaming.download_gt --runbook_file neurips23/runbooks/delete_runbook.yaml --dataset msturing-10M-clustered
+python -m benchmark.streaming.download_gt --runbook_file neurips23/runbooks/final_runbook.yaml  --dataset msturing-30M-clustered
 ```
 Alternately, to compute ground truth for an arbitrary runbook, [clone and build DiskANN repo](https://github.com/Microsoft/DiskANN) and use the command line tool to compute ground truth at various search checkpoints. The `--gt_cmdline_tool` points to the directory with DiskANN commandline tools.
 ```
-python benchmark/streaming/compute_gt.py --dataset msspacev-10M --runbook neurips23/streaming/simple_runbook.yaml --gt_cmdline_tool ~/DiskANN/build/apps/utils/compute_groundtruth
+python benchmark/streaming/compute_gt.py --dataset msspacev-10M --runbook neurips23/runbooks/simple_runbook.yaml --gt_cmdline_tool ~/DiskANN/build/apps/utils/compute_groundtruth
 ```
-Consider also the examples in runbooks [here]]neurips23/streaming/clustered_runbook.yaml) and [here](neurips23/streaming/delete_runbook.yaml). The datasets here are [generated](neurips23/streaming/clustered_data_gen.py) by clustering the original dataset with k-means and packing points in the same cluster into contiguous indices. Then insertions are then performed one cluster at a time. This runbook tests if an indexing algorithm can adapt to data draft. The `max_pts` entry for the dataset in the runbook indicates an upper bound on the number of active points that the index must support during the runbook execution.
+Consider also the examples in runbooks [here]]neurips23/runbooks/clustered_runbook.yaml) and [here](neurips23/runbooks/delete_runbook.yaml). The datasets here are [generated](neurips23/runbooks/clustered_data_gen.py) by clustering the original dataset with k-means and packing points in the same cluster into contiguous indices. Then insertions are then performed one cluster at a time. This runbook tests if an indexing algorithm can adapt to data draft. The `max_pts` entry for the dataset in the runbook indicates an upper bound on the number of active points that the index must support during the runbook execution.
 
 
 To make the results available for post-processing, change permissions of the results folder
diff --git a/neurips23/streaming/clustered_data_gen.py b/neurips23/runbooks/clustered_data_gen.py
similarity index 100%
rename from neurips23/streaming/clustered_data_gen.py
rename to neurips23/runbooks/clustered_data_gen.py
diff --git a/neurips23/streaming/clustered_replace_runbook.yaml b/neurips23/runbooks/clustered_replace_runbook.yaml
similarity index 100%
rename from neurips23/streaming/clustered_replace_runbook.yaml
rename to neurips23/runbooks/clustered_replace_runbook.yaml
diff --git a/neurips23/streaming/clustered_runbook.yaml b/neurips23/runbooks/clustered_runbook.yaml
similarity index 100%
rename from neurips23/streaming/clustered_runbook.yaml
rename to neurips23/runbooks/clustered_runbook.yaml
diff --git a/neurips23/streaming/delete_runbook.yaml b/neurips23/runbooks/delete_runbook.yaml
similarity index 100%
rename from neurips23/streaming/delete_runbook.yaml
rename to neurips23/runbooks/delete_runbook.yaml
diff --git a/neurips23/streaming/final_runbook.yaml b/neurips23/runbooks/final_runbook.yaml
similarity index 100%
rename from neurips23/streaming/final_runbook.yaml
rename to neurips23/runbooks/final_runbook.yaml
diff --git a/neurips23/streaming/final_runbook_gen.py b/neurips23/runbooks/final_runbook_gen.py
similarity index 100%
rename from neurips23/streaming/final_runbook_gen.py
rename to neurips23/runbooks/final_runbook_gen.py
diff --git a/neurips23/runbooks/gen_expiration_time_runbook.py b/neurips23/runbooks/gen_expiration_time_runbook.py
new file mode 100644
index 00000000..bb5996bc
--- /dev/null
+++ b/neurips23/runbooks/gen_expiration_time_runbook.py
@@ -0,0 +1,176 @@
+import yaml
+import os
+import random
+
+'''
+dataset_name: dataset key as specified in benchmark/datasets.py
+dataset_size: size of datasets
+max_t: number of timesteps
+runbook_filename: name to save the runbook to
+ratios: tuple of three numbers indicating proportion of deletes/replaces assigned to each timestep
+timesteps: how long to wait before deleting for each ratio
+seed: seed given to random generator
+do_replace: whether to include replace in runbook or not
+'''
+def gen_exp_time_runbook(dataset_name, dataset_size, max_t, runbook_filename, ratios, timesteps, seed = 0, do_replace = False, gt_url = None, do_delete = True):
+    random.seed(seed)
+    data = {dataset_name: {}}
+
+    max_num_points=0
+    num_points=0
+
+    batch_size = dataset_size//max_t
+    to_delete=[[] for _ in range(max_t)]
+    to_replace=[[] for _ in range(max_t)]
+
+    t=1
+
+    for i in range(max_t): 
+        if do_replace:
+            fraction = random.uniform(.5, .9)
+        else:
+            fraction = 1.0
+        start = i*batch_size
+        end = start + int(fraction*batch_size)
+        ids_start = end
+        ids_end = (i+1)*batch_size
+        tags_start = i*batch_size
+        tags_end = tags_start + (ids_end - ids_start)
+        replace_info = (tags_start, tags_end, ids_start, ids_end)
+        delete_info = (tags_start, end)
+        data[dataset_name][t]={
+            'operation': 'insert',
+            'start': i*(batch_size),
+            'end': end
+        }
+        t+=1
+
+        num_points+=int(fraction*batch_size)
+
+        max_num_points=max(max_num_points,num_points)
+
+        
+        data_type = random.randint(0, ratios[2])
+        if do_delete:
+            if data_type <= ratios[0]:
+                pass
+            elif data_type > ratios[0] and data_type < ratios[1]:
+                if (i+timesteps[1] < max_t):
+                    to_delete[i+timesteps[1]].append(delete_info)
+            else:
+                if (i+timesteps[2] < max_t):
+                    to_delete[i+timesteps[2]].append(delete_info)
+
+        if do_replace:
+            if data_type <= ratios[0]:
+                remaining_steps = (max_t - t)//2
+                to_replace[i+remaining_steps].append(replace_info)
+                # with probability 1/19, the points get replaced at t_max-t/2 steps
+            elif data_type > ratios[0] and data_type < ratios[1]:
+                if (i + timesteps[1]//2 < max_t):
+                    to_replace[i+timesteps[1]//2].append(replace_info)
+                # with probability 3/19, the points get replaced after 50 steps
+            else:
+                if (i + timesteps[2]//2 < max_t):
+                    to_replace[i+timesteps[2]//2].append(replace_info)
+                # with probability 15/19, the points get replaced after 10 steps
+
+        for (start, end) in to_delete[i]:
+            data[dataset_name][t]={
+                'operation': 'delete',
+                'start': start,
+                'end': end
+            }
+            t+=1
+            num_points-=batch_size
+        
+        for (tags_start, tags_end, ids_start, ids_end) in to_replace[i]:
+            data[dataset_name][t] ={
+                'operation' : 'replace',
+                'tags_start': tags_start,
+                'tags_end': tags_end,
+                'ids_start': ids_start,
+                'ids_end': ids_end
+            }
+            t += 1
+
+        data[dataset_name][t]={
+            'operation': 'search',
+        }
+        t+=1
+
+    data[dataset_name]["max_pts"]=max_num_points
+
+    if gt_url is not None:
+        data[dataset_name]["gt_url"] = gt_url
+
+    with open(runbook_filename, 'w') as outfile:
+        yaml.dump(data, outfile, default_flow_style=False)
+
+ratios = (0, 4, 18)
+timesteps = (0, 100, 20)
+seed = 809
+dataset_file = 'wikipedia-35M_expirationtime_runbook.yaml'
+dataset_name = 'wikipedia-35M'
+dataset_size = 35000000
+max_t = 350
+gt_url = "https://comp21storage.z5.web.core.windows.net/wiki-cohere-35M/wikipedia-35M_expirationtime_runbook.yaml"
+gen_exp_time_runbook(dataset_name, dataset_size, max_t, dataset_file, ratios, timesteps, seed, False, gt_url)
+
+ratios = (0, 4, 18)
+timesteps = (0, 100, 20)
+seed = 1232
+dataset_file = 'wikipedia-1M_expiration_time_runbook.yaml'
+dataset_name = 'wikipedia-1M'
+dataset_size = 1000000
+max_t = 100
+gt_url = "https://comp21storage.z5.web.core.windows.net/wiki-cohere-35M/wikipedia-1M_expiration_time_runbook.yaml/"
+gen_exp_time_runbook(dataset_name, dataset_size, max_t, dataset_file, ratios, timesteps, seed, False, gt_url)
+
+ratios = (0, 4, 18)
+timesteps = (0, 100, 20)
+seed = 10001
+dataset_file = 'wikipedia-35M_expiration_time_replace_only_runbook.yaml'
+dataset_name = 'wikipedia-35M'
+dataset_size = 8000000 #only use a prefix of the dataset
+max_t = 80
+gt_url = None
+gen_exp_time_runbook(dataset_name, dataset_size, max_t, dataset_file, ratios, timesteps, seed, True, gt_url, False)
+
+ratios = (0, 4, 18)
+timesteps = (0, 100, 20)
+seed = 754
+dataset_file = 'wikipedia-1M_expiration_time_replace_only_runbook.yaml'
+dataset_name = 'wikipedia-1M'
+dataset_size = 1000000
+max_t = 100
+gt_url = None
+gen_exp_time_runbook(dataset_name, dataset_size, max_t, dataset_file, ratios, timesteps, seed, True, gt_url, False)
+
+ratios = (3, 8, 18)
+timesteps = (0, 300, 50)
+seed = 22
+dataset_file = 'wikipedia-35M_expiration_time_replace_delete_runbook.yaml'
+dataset_name = 'wikipedia-35M'
+dataset_size = 35000000
+max_t = 350
+gen_exp_time_runbook(dataset_name, dataset_size, max_t, dataset_file, ratios, timesteps, seed, True, None)
+
+ratios = (1, 8, 18)
+timesteps = (0, 100, 20)
+seed = 56
+dataset_file = 'wikipedia-1M_expiration_time_replace_delete_runbook.yaml'
+dataset_name = 'wikipedia-1M'
+dataset_size = 1000000
+max_t = 100
+gen_exp_time_runbook(dataset_name, dataset_size, max_t, dataset_file, ratios, timesteps, seed, True, None)
+
+ratios = (0, 6, 25)
+timesteps = (0, 200, 50)
+seed = 809
+dataset_file = 'msmarco-100M_expirationtime_runbook.yaml'
+dataset_name = 'msmarco-100M'
+dataset_size = 101070374
+max_t = 1000
+gen_exp_time_runbook(dataset_name, dataset_size, max_t, dataset_file, ratios, timesteps, seed, False, None)
+
diff --git a/neurips23/streaming/gen_replace_runbooks.py b/neurips23/runbooks/gen_replace_runbooks.py
similarity index 100%
rename from neurips23/streaming/gen_replace_runbooks.py
rename to neurips23/runbooks/gen_replace_runbooks.py
diff --git a/neurips23/streaming/generate_msturing10m_runbooks.py b/neurips23/runbooks/generate_msturing10m_runbooks.py
similarity index 100%
rename from neurips23/streaming/generate_msturing10m_runbooks.py
rename to neurips23/runbooks/generate_msturing10m_runbooks.py
diff --git a/neurips23/streaming/msmarco-100M_expirationtime_runbook.yaml b/neurips23/runbooks/msmarco-100M_expirationtime_runbook.yaml
similarity index 100%
rename from neurips23/streaming/msmarco-100M_expirationtime_runbook.yaml
rename to neurips23/runbooks/msmarco-100M_expirationtime_runbook.yaml
diff --git a/neurips23/streaming/msturing-10M_slidingwindow_runbook.yaml b/neurips23/runbooks/msturing-10M_slidingwindow_runbook.yaml
similarity index 100%
rename from neurips23/streaming/msturing-10M_slidingwindow_runbook.yaml
rename to neurips23/runbooks/msturing-10M_slidingwindow_runbook.yaml
diff --git a/neurips23/streaming/random_replace_runbook.yaml b/neurips23/runbooks/random_replace_runbook.yaml
similarity index 100%
rename from neurips23/streaming/random_replace_runbook.yaml
rename to neurips23/runbooks/random_replace_runbook.yaml
diff --git a/neurips23/streaming/simple_replace_runbook.yaml b/neurips23/runbooks/simple_replace_runbook.yaml
similarity index 100%
rename from neurips23/streaming/simple_replace_runbook.yaml
rename to neurips23/runbooks/simple_replace_runbook.yaml
diff --git a/neurips23/streaming/simple_runbook.yaml b/neurips23/runbooks/simple_runbook.yaml
similarity index 100%
rename from neurips23/streaming/simple_runbook.yaml
rename to neurips23/runbooks/simple_runbook.yaml
diff --git a/neurips23/runbooks/wikipedia-1M_expiration_time_replace_delete_runbook.yaml b/neurips23/runbooks/wikipedia-1M_expiration_time_replace_delete_runbook.yaml
new file mode 100644
index 00000000..b12159b0
--- /dev/null
+++ b/neurips23/runbooks/wikipedia-1M_expiration_time_replace_delete_runbook.yaml
@@ -0,0 +1,1210 @@
+wikipedia-1M:
+  1:
+    end: 8863
+    operation: insert
+    start: 0
+  2:
+    operation: search
+  3:
+    end: 15045
+    operation: insert
+    start: 10000
+  4:
+    operation: search
+  5:
+    end: 26204
+    operation: insert
+    start: 20000
+  6:
+    operation: search
+  7:
+    end: 38954
+    operation: insert
+    start: 30000
+  8:
+    operation: search
+  9:
+    end: 47829
+    operation: insert
+    start: 40000
+  10:
+    operation: search
+  11:
+    end: 56498
+    operation: insert
+    start: 50000
+  12:
+    operation: search
+  13:
+    end: 66349
+    operation: insert
+    start: 60000
+  14:
+    operation: search
+  15:
+    end: 78970
+    operation: insert
+    start: 70000
+  16:
+    operation: search
+  17:
+    end: 85089
+    operation: insert
+    start: 80000
+  18:
+    operation: search
+  19:
+    end: 95843
+    operation: insert
+    start: 90000
+  20:
+    operation: search
+  21:
+    end: 107227
+    operation: insert
+    start: 100000
+  22:
+    ids_end: 10000
+    ids_start: 8863
+    operation: replace
+    tags_end: 1137
+    tags_start: 0
+  23:
+    operation: search
+  24:
+    end: 117719
+    operation: insert
+    start: 110000
+  25:
+    ids_end: 20000
+    ids_start: 15045
+    operation: replace
+    tags_end: 14955
+    tags_start: 10000
+  26:
+    operation: search
+  27:
+    end: 126541
+    operation: insert
+    start: 120000
+  28:
+    ids_end: 30000
+    ids_start: 26204
+    operation: replace
+    tags_end: 23796
+    tags_start: 20000
+  29:
+    operation: search
+  30:
+    end: 135746
+    operation: insert
+    start: 130000
+  31:
+    ids_end: 40000
+    ids_start: 38954
+    operation: replace
+    tags_end: 31046
+    tags_start: 30000
+  32:
+    operation: search
+  33:
+    end: 147234
+    operation: insert
+    start: 140000
+  34:
+    operation: search
+  35:
+    end: 155738
+    operation: insert
+    start: 150000
+  36:
+    operation: search
+  37:
+    end: 165502
+    operation: insert
+    start: 160000
+  38:
+    ids_end: 70000
+    ids_start: 66349
+    operation: replace
+    tags_end: 63651
+    tags_start: 60000
+  39:
+    operation: search
+  40:
+    end: 178120
+    operation: insert
+    start: 170000
+  41:
+    operation: search
+  42:
+    end: 187700
+    operation: insert
+    start: 180000
+  43:
+    ids_end: 90000
+    ids_start: 85089
+    operation: replace
+    tags_end: 84911
+    tags_start: 80000
+  44:
+    operation: search
+  45:
+    end: 195702
+    operation: insert
+    start: 190000
+  46:
+    ids_end: 100000
+    ids_start: 95843
+    operation: replace
+    tags_end: 94157
+    tags_start: 90000
+  47:
+    operation: search
+  48:
+    end: 206987
+    operation: insert
+    start: 200000
+  49:
+    end: 8863
+    operation: delete
+    start: 0
+  50:
+    ids_end: 110000
+    ids_start: 107227
+    operation: replace
+    tags_end: 102773
+    tags_start: 100000
+  51:
+    operation: search
+  52:
+    end: 215020
+    operation: insert
+    start: 210000
+  53:
+    end: 15045
+    operation: delete
+    start: 10000
+  54:
+    operation: search
+  55:
+    end: 227333
+    operation: insert
+    start: 220000
+  56:
+    end: 26204
+    operation: delete
+    start: 20000
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diff --git a/neurips23/runbooks/wikipedia-1M_expiration_time_replace_only_runbook.yaml b/neurips23/runbooks/wikipedia-1M_expiration_time_replace_only_runbook.yaml
new file mode 100644
index 00000000..d036dc57
--- /dev/null
+++ b/neurips23/runbooks/wikipedia-1M_expiration_time_replace_only_runbook.yaml
@@ -0,0 +1,1070 @@
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index 00000000..499c6fab
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diff --git a/neurips23/runbooks/wikipedia-35M_expiration_time_replace_only_runbook.yaml b/neurips23/runbooks/wikipedia-35M_expiration_time_replace_only_runbook.yaml
new file mode 100644
index 00000000..f4fdcdd1
--- /dev/null
+++ b/neurips23/runbooks/wikipedia-35M_expiration_time_replace_only_runbook.yaml
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+    ids_start: 6479533
+    operation: replace
+    tags_end: 6420467
+    tags_start: 6400000
+  207:
+    operation: search
+  208:
+    end: 7586198
+    operation: insert
+    start: 7500000
+  209:
+    ids_end: 6600000
+    ids_start: 6579086
+    operation: replace
+    tags_end: 6520914
+    tags_start: 6500000
+  210:
+    operation: search
+  211:
+    end: 7689105
+    operation: insert
+    start: 7600000
+  212:
+    ids_end: 6700000
+    ids_start: 6676866
+    operation: replace
+    tags_end: 6623134
+    tags_start: 6600000
+  213:
+    operation: search
+  214:
+    end: 7778634
+    operation: insert
+    start: 7700000
+  215:
+    ids_end: 6800000
+    ids_start: 6761472
+    operation: replace
+    tags_end: 6738528
+    tags_start: 6700000
+  216:
+    operation: search
+  217:
+    end: 7882486
+    operation: insert
+    start: 7800000
+  218:
+    ids_end: 6900000
+    ids_start: 6883955
+    operation: replace
+    tags_end: 6816045
+    tags_start: 6800000
+  219:
+    operation: search
+  220:
+    end: 7963534
+    operation: insert
+    start: 7900000
+  221:
+    ids_end: 7000000
+    ids_start: 6968079
+    operation: replace
+    tags_end: 6931921
+    tags_start: 6900000
+  222:
+    operation: search
+  max_pts: 5548955
diff --git a/neurips23/streaming/wikipedia-35M_expirationtime_runbook.yaml b/neurips23/runbooks/wikipedia-35M_expirationtime_runbook.yaml
similarity index 99%
rename from neurips23/streaming/wikipedia-35M_expirationtime_runbook.yaml
rename to neurips23/runbooks/wikipedia-35M_expirationtime_runbook.yaml
index 0014f8de..eceb5d5a 100644
--- a/neurips23/streaming/wikipedia-35M_expirationtime_runbook.yaml
+++ b/neurips23/runbooks/wikipedia-35M_expirationtime_runbook.yaml
@@ -3304,4 +3304,4 @@ wikipedia-35M:
   1001:
     operation: search
   max_pts: 5200000
-  gt_url: "https://comp21storage.z5.web.core.windows.net/wiki-cohere-35M/wikipedia-35M_expirationtime_runbook.yaml"
+  gt_url: https://comp21storage.z5.web.core.windows.net/wiki-cohere-35M/wikipedia-35M_expirationtime_runbook.yaml
diff --git a/neurips23/streaming/README.md b/neurips23/streaming/README.md
index 1b66e222..444c3f9e 100644
--- a/neurips23/streaming/README.md
+++ b/neurips23/streaming/README.md
@@ -15,7 +15,7 @@ Each vector is assumed to have a unique *id* which never changes throughout the
 
 ## Available Runbooks
 
-Now that the number of runbooks has started to increase significantly, here we list the available runbooks with a brief description of each. 
+Now that the number of runbooks has started to increase significantly, here we list the available runbooks (found in `neurips23/runbooks`) with a brief description of each. 
 
 1. `simple_runbook.yaml`: A runbook executing a short sequences of insertions, searches, and deletions to aid with debugging and testing.
 2. `simple_replace_runbook.yaml`: A runbook executing a short sequence of inserts, searches, and replaces to aid with debugging and testing.
@@ -23,7 +23,12 @@ Now that the number of runbooks has started to increase significantly, here we l
 4. `delete_runbook.yaml`: A runbook executing all steps in the clustered runbook, but which then deletes a fraction of each cluster.
 5. `final_runbook.yaml`: The NeurIPS 2023 streaming challenge final runbook. It takes the `msturing-30M-clustered` dataset and performs several rounds of insertion and deletion in clustered order.
 6. `msmarco-100M_expirationtime_runbook.yaml`: A runbook using the `msmarco-100M` dataset which inserts each point with a randomly chosen expiration time: never, in 200 steps, or in 50 steps.
-7. `neurips23/streaming/wikipedia-35M_expirationtime_runbook.yaml`: A runbook using the `wikipedia-35M` dataset which inserts each point with a randomly chosen expiration time: never, in 200 steps, or in 50 steps.
-8. `neurips23/streaming/msturing-10M_slidingwindow_runbook.yaml`: A runbook using the `msturing-10M` dataset which inserts half the points, then maintains the index at a consistent size using a sliding window. 
-9. `clustered_replace_runbook.yaml`: A replace-focused runbook which takes the `msturing-10M-clustered` dataset, inserts a fraction of the points in each cluster, then replaces some of that fraction with vector ids from the same cluster.
-10. `random_replace_runbook.yaml`: A replace-focused runbook which takes the `msturing-10M-clustered` dataset, inserts a fraction of the points in each cluster, then replaces some of that fraction with vector ids from a different randomly selected cluster.
+7. `msturing-10M_slidingwindow_runbook.yaml`: A runbook using the `msturing-10M` dataset which inserts half the points, then maintains the index at a consistent size using a sliding window. 
+8. `clustered_replace_runbook.yaml`: A replace-focused runbook which takes the `msturing-10M-clustered` dataset, inserts a fraction of the points in each cluster, then replaces some of that fraction with vector ids from the same cluster.
+9. `random_replace_runbook.yaml`: A replace-focused runbook which takes the `msturing-10M-clustered` dataset, inserts a fraction of the points in each cluster, then replaces some of that fraction with vector ids from a different randomly selected cluster.
+10. `wikipedia-35M_expirationtime_runbook.yaml`: A runbook using the `wikipedia-35M` dataset which inserts each point with a randomly chosen expiration time: never, in 100 steps, or in 20 steps.
+11. `wikipedia-1M_expiration_time_runbook.yaml`: A version of `wikipedia-35M_expirationtime_runbook.yaml` using the smaller `wikipedia-1M` dataset.
+12. `wikipedia-35M_expirationtime_replace_only_runbook.yaml`: A runbook that takes the same setup as `wikipedia-35M_expirationtime_runbook.yaml`, but replaces points instead of deleting them using an expiration time based system.
+13. `wikipedia-1M_expiration_time_replace_only_runbook.yaml`: A version of `wikipedia-35M_expiration_time_replace_only_runbook.yaml` using the smaller `wikipedia-1M` dataset.
+14. `wikipedia-35M_expirationtime_replace_delete_runbook.yaml`: A runbook that takes the same setup as `wikipedia-35M_expirationtime_runbook.yaml`, but replaces points instead of deleting them using an expiration time based system.
+15. `wikipedia-1M_expiration_time_replace_delete_runbook.yaml`: A version of `wikipedia-35M_expiration_time_replace_delete_runbook.yaml` using the smaller `wikipedia-1M` dataset.
diff --git a/neurips23/streaming/generate_msmarco100m_runbooks.py b/neurips23/streaming/generate_msmarco100m_runbooks.py
deleted file mode 100644
index debf6996..00000000
--- a/neurips23/streaming/generate_msmarco100m_runbooks.py
+++ /dev/null
@@ -1,67 +0,0 @@
-import yaml
-import os
-import random
-
-dataset_name="msmarco-100M"
-
-random.seed(809)
-
-total_points=101070374
-max_t=1000
-# insert the points in 1000 steps
-
-data = {dataset_name: {}}
-
-max_num_points=0
-num_points=0
-
-to_delete=[[] for _ in range(max_t+300)]
-
-t=1
-for i in range(max_t): 
-
-    data[dataset_name][t]={
-        'operation': 'insert',
-        'start': i*(total_points//max_t),
-        'end': (i+1)*(total_points//max_t)
-    }
-    t+=1
-
-    num_points+=total_points//max_t
-
-    max_num_points=max(max_num_points,num_points)
-
-    data_type = random.randint(0, 25)
-    if data_type == 0:
-        pass
-        # with probability 1/26, the inserted point always stay in the index
-    elif data_type >0 and data_type < 6:
-        to_delete[i+200].append(i)
-        # with probability 5/26, the inserted point always stay in the index for 200 steps
-    elif data_type >=6 and data_type:
-        to_delete[i+50].append(i)
-        # with probability 20/26, the inserted point always stay in the index for 50 steps
-
-
-    for x in to_delete[i]:
-        data[dataset_name][t]={
-            'operation': 'delete',
-            'start': x*(total_points//max_t),
-            'end': (x+1)*(total_points//max_t)
-        }
-        t+=1
-        num_points-=total_points//max_t
-
-    data[dataset_name][t]={
-        'operation': 'search',
-    }
-    t+=1
-
-
-data[dataset_name]["max_pts"]=max_num_points
-
-run_book_name=dataset_name+"_"+"expirationtime_runbook.yaml"
-
-with open(run_book_name, 'w') as outfile:
-    yaml.dump(data, outfile, default_flow_style=False)
-
diff --git a/neurips23/streaming/generate_wiki35m_runbooks.py b/neurips23/streaming/generate_wiki35m_runbooks.py
deleted file mode 100644
index 41557fa1..00000000
--- a/neurips23/streaming/generate_wiki35m_runbooks.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import yaml
-import os
-import random
-
-dataset_name="wikipedia-35M"
-
-random.seed(809)
-
-total_points=35000000
-max_t=350
-
-
-data = {dataset_name: {}}
-
-max_num_points=0
-num_points=0
-
-to_delete=[[] for _ in range(max_t+100)]
-
-t=1
-for i in range(max_t): 
-
-    data[dataset_name][t]={
-        'operation': 'insert',
-        'start': i*(total_points//max_t),
-        'end': (i+1)*(total_points//max_t)
-    }
-    t+=1
-
-    num_points+=total_points//max_t
-
-    max_num_points=max(max_num_points,num_points)
-
-    data_type = random.randint(0, 18)
-    if data_type == 0:
-        pass
-        # with probability 1/19, the points added always stay in the index
-    elif data_type >0 and data_type < 4:
-        to_delete[i+100].append(i)
-        # with probability 3/19, the points added stay in the index for 100 steps
-    else:
-        to_delete[i+20].append(i)
-        # with probability 15/19, the points added stay in the index for 20 steps
-
-    for x in to_delete[i]:
-        data[dataset_name][t]={
-            'operation': 'delete',
-            'start': x*(total_points//max_t),
-            'end': (x+1)*(total_points//max_t)
-        }
-        t+=1
-        num_points-=total_points//max_t
-
-    data[dataset_name][t]={
-        'operation': 'search',
-    }
-    t+=1
-
-
-data[dataset_name]["max_pts"]=max_num_points
-
-run_book_name=dataset_name+"_"+"expirationtime_runbook.yaml"
-
-with open(run_book_name, 'w') as outfile:
-    yaml.dump(data, outfile, default_flow_style=False)